To see the other types of publications on this topic, follow the link: Electronic learning supports.
Dissertations / Theses on the topic 'Electronic learning supports'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 44 dissertations / theses for your research on the topic 'Electronic learning supports.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.
1
Jury, Thomas W. "Electronic Performance Support for E-Learning Analysis and Design." NSUWorks, 2007. http://nsuworks.nova.edu/gscis_etd/621.
Full textAbstract:
Corporate instructional designers often follow an instructional systems design (ISD) process to plan, create, and implement training programs. Increased demand for elearning as a replacement or addition to classroom training means that, in the current corporate environment, instructional designers are called upon to produce a wide variety of instructional formats and have to make more decisions during the ISD process.
E-learning is evolving into a total performance improvement solution rather than simply as a means to delivering distance training and consequently, in an effort to achieve business goals, many corporations are turning to it as a cost effective way to deliver training and support to employees and customers. Corporate e-learning applications can incorporate knowledge management and electronic performance support as well as support for multiple formats of online learning, adding to the complexity of the instructional designer's job and the ISD process. While the ISD process is well documented and numerous operational models exist, instructional designers often have difficulty in its application given the complexity of an e-learning application.
The study analyzed the impact of an experimental electronic performance support system (EPSS) on the performance of e-learning instructional designers. An EPSS intended to provide assistance during the analysis and design stages of an e-learning project was created to aid corporate instructional designers make tradeoffs among time, cost, and quality of various analysis and design procedures and techniques. Formative reviews by instructional designers experienced in e-learning added to the validity of the contents of the EPSS. Summative evaluator’s pilot tested the EPSS by using it in conjunction with the analysis and design activities of three corporate e-learning projects. Evaluation results indicated that an instructional design EPSS can help designers sequence and prioritize tasks, allocate time and resources to task execution, and focus tasks on user performance and client goals.
2
Harris, Lisa, and Lisa Harris@rmit edu au. "Electronic Classroom, Electronic Community: Virtual Social Networks and Student Learning." RMIT University. Global Studies, Social Science and Planning, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080717.144715.
Full textAbstract:
The capacity for online learning environments to provide quality learning experiences for students has been the focus of much speculation and debate in the higher education sector from the late 1990s to the present day. In this area, 'quality' has become synonymous with engaging students in a learning community. This study reports on a qualitative research project designed to explore the significance of community for students when they study in online learning environments. This project used three case studies to explore tertiary students' thoughts and expectations about community in the online environment. The research was constructed iteratively. Data from the initial case suggested the need to explore the relationship between the constructed online learning environment and the development of learning communities or what I have termed Social Learning Support Networks (SLSN). To explore this issue further, the project was expanded and subsequent cases were chosen that included fundamentally different types of online learning environments. The project had two significant results. Firstly, students not only confirmed popular educational theories on the value of learning communities, but also described how this form of social connection might practically benefit their learning. Secondly, the project found that certain forms of synchronous online environments provided enhanced opportunities for students to form social connections that supported their learning. This project provides new evidence of the benefit of community for students studying online and argues that future online learning environments should be shaped by five key principles designed to foster a sense of social connection between students.
3
Nielsen, Niels Bech. "Using electronic voting systems data outside lectures to support learning." Connect to e-thesis. Move to record for print version, 2007. http://theses.gla.ac.uk/46/.
Full textAbstract:
Thesis (MSc. (R)) - University of Glasgow, 2007.MSc. (R) thesis submitted to the Department of Computing Science, Faculty of Information and Mathematical Sciences, University of Glasgow, 2007. Includes bibliographical references.
4
Sisarica, Anja. "Creativity support in games for motivated learning." Thesis, City University London, 2015. http://openaccess.city.ac.uk/14543/.
Full textAbstract:
A natural extension of play for creative thinking can innovatively drive technology-led changes to the facilitation of creative problem solving, and generate a new genre in serious gaming. Whilst the use of serious games has grown considerably in recent years, support for players to think creatively is often implicit in the game, and does not exploit the wide range of creativity techniques and software tools available. The work reported in this thesis is the first to explicitly integrate creativity support into serious games. The results show that creative serious games can systematically support acquisition of creativity skills, generation of creative learning outcomes, and induction of motivational and learning benefits amongst the players. Therefore, this thesis introduces the concept of explicit creativity support in serious games, with a focus on games for motivated learning in adult professional setting, and reports formative and summative evaluations of new prototype games for this setting, in order to instantiate, refine and validate the concept. The creative learning objective of the prototype games was to train carers in creativity techniques to deliver more person-centred care to people with dementia. The findings are delivered in the form of a new framework, which proposes recommendations for the design and understanding of creative serious games. Four formative evaluations of three prototypes of creative serious games with carers provided results that led to refinements of the framework and the design of more usable and effective games. A subsequent summative evaluation partially validated the framework, delivering both a framework and prototype creative serious game that demonstrated the potential to improve person-centred dementia care training. The thesis provides a proof-of-concept of the value of creative serious games, and shows the potential for the framework to be applied and have impact on other application domains.
5
Nurjanah, Dade. "Awareness support for learning designers in collaborative authoring for adaptive learning." Thesis, University of Southampton, 2013. https://eprints.soton.ac.uk/349328/.
Full textAbstract:
Adaptive learning systems offer students a range of appropriate learning options based on the learners’ characteristics. It is, therefore, necessary for such systems to maintain a hyperspace and knowledge space that consists of a large volume of domain and pedagogical knowledge, learner information, and adaptation rules. As a consequence, for a solitary teacher, developing learning resources would be time consuming and requires the teacher to be an expert of many topics. In this research, the problems of authoring adaptive learning resources are classified into issues concerning interoperability, efficiency, and collaboration. This research particularly addresses the question of how teachers can collaborate in authoring adaptive learning resources and be aware of what has happened in the authoring process. In order to experiment with collaboration, it was necessary to design a collaborative authoring environment for adaptive learning. This was achieved by extending an open sourced authoring tool of IMS Learning Design (IMS LD), ReCourse, to be a prototype of Collaborative ReCourse that includes the workspace awareness information features: Notes and History. It is designed as a tool for asynchronous collaboration for small groups of learning designers. IMS LD supports interoperability and adaptation. Two experiments were conducted. The first experiment was a workspace awareness study in which participants took part in an artificial collaborative scenario. They were divided into 2 groups; one group worked with ReCourse, the other with Collaborative ReCourse. The results provide evidence regarding the advantages of Notes and History for enhancing workspace awareness in collaborative authoring of learning designs.The second study tested the system more thoroughly as the participants had to work toward real goals over a much longer time frame. They were divided into four groups; two groups worked with ReCourse, while the others worked with Collaborative ReCourse. The experiment result showed that authoring of learning designs can be approached with a Process Structure method with implicit coordination and without role assignment. It also provides evidence that collaboration is possible for authoring IMS LD Level A for non-adapting and Level B for adapting materials. Notes and History assist in producing good quality output. This research has several contributions. From the literature study, it presents a comparison analysis of existing authoring tools, as well as learning standards. Furthermore, it presents a collaborative authoring approach for creating learning designs and describes the granularity level on which collaborative authoring for learning designs can be carried out. Finally, experiments using this approach show the advantages of having Notes and History for enhancing workspace awareness that and how they benefit the quality of learning designs.
6
Halpern, Yonatan. "Semi-Supervised Learning for Electronic Phenotyping in Support of Precision Medicine." Thesis, New York University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10192124.
Full textAbstract:
Medical informatics plays an important role in precision medicine, delivering the right information to the right person, at the right time. With the introduction and widespread adoption of electronic medical records, in the United States and world-wide, there is now a tremendous amount of health data available for analysis.
Electronic record phenotyping refers to the task of determining, from an electronic medical record entry, a concise descriptor of the patient, comprising of their medical history, current problems, presentation, etc. In inferring such a phenotype descriptor from the record, a computer, in a sense, "understands'' the relevant parts of the record. These phenotypes can then be used in downstream applications such as cohort selection for retrospective studies, real-time clinical decision support, contextual displays, intelligent search, and precise alerting mechanisms.
We are faced with three main challenges:
First, the unstructured and incomplete nature of the data recorded in the electronic medical records requires special attention. Relevant information can be missing or written in an obscure way that the computer does not understand.
Second, the scale of the data makes it important to develop efficient methods at all steps of the machine learning pipeline, including data collection and labeling, model learning and inference.
Third, large parts of medicine are well understood by health professionals. How do we combine the expert knowledge of specialists with the statistical insights from the electronic medical record?
Probabilistic graphical models such as Bayesian networks provide a useful abstraction for quantifying uncertainty and describing complex dependencies in data. Although significant progress has been made over the last decade on approximate inference algorithms and structure learning from complete data, learning models with incomplete data remains one of machine learning’s most challenging problems. How can we model the effects of latent variables that are not directly observed?
The first part of the thesis presents two different structural conditions under which learning with latent variables is computationally tractable. The first is the "anchored'' condition, where every latent variable has at least one child that is not shared by any other parent. The second is the "singly-coupled'' condition, where every latent variable is connected to at least three children that satisfy conditional independence (possibly after transforming the data).
Variables that satisfy these conditions can be specified by an expert without requiring that the entire structure or its parameters be specified, allowing for effective use of human expertise and making room for statistical learning to do some of the heavy lifting. For both the anchored and singly-coupled conditions, practical algorithms are presented.
The second part of the thesis describes real-life applications using the anchored condition for electronic phenotyping. A human-in-the-loop learning system and a functioning emergency informatics system for real-time extraction of important clinical variables are described and evaluated.
The algorithms and discussion presented here were developed for the purpose of improving healthcare, but are much more widely applicable, dealing with the very basic questions of identifiability and learning models with latent variables - a problem that lies at the very heart of the natural and social sciences.
7
Latombe, Guillaume. "Fast incremental learning of stochastic context-free grammars in radar electronic support." Thèse, Montréal : École de technologie supérieure, 2006. http://proquest.umi.com/pqdweb?did=1251872141&sid=5&Fmt=2&clientId=46962&RQT=309&VName=PQD.
Full textAbstract:
Thèse (M. Ing.)-- École de technologie supérieure, Montréal, 2006."A thesis presented to the École de technologie supérieure in partial fulfillment of the thesis requirement for the degree of masters in automated manufacturing engineering". CaQMUQET Bibliogr.: f. [193]-199. Également disponible en version électronique. CaQMUQET
8
Liu, Shuangyan. "Intelligent support for group work in collaborative learning environments." Thesis, University of Warwick, 2012. http://wrap.warwick.ac.uk/46815/.
Full textAbstract:
The delivery of intelligent support for group work is a complex issue in collaborative learning environments. This particularly pertains to the construction of effective groups and assessment of collaboration problems. This is because the composition of groups can be affected by several variables, and various methods are desirable for ascertaining the existence of different collaboration problems. Literature has shown that current collaborative learning environments provide limited or no support for teachers to cope with these tasks. Considering this and the increasing use of online collaboration, this research aims to explore solutions for improving the delivery of support for group work in collaborative learning environments, and thus to simplify how teachers manage collaborative group work. In this thesis, three aspects were investigated to achieve this goal. The first aspect emphasises on proposing a novel approach for group formation based on students‘ learning styles. The novelty and importance of this approach is the provision of an automatic grouping method that can tailor to individual students‘ characteristics and fit well into the existing collaborative learning environments. The evaluation activities comprise the development of an add-on tool and an undergraduate student experiment, which indicate the feasibility and strength of the proposed approach — being capable of forming diverse groups that tend to perform more effectively and efficiently than similar groups for conducting group discussion tasks. The second focus of this research relates to the identification of major group collaboration problems and their causes. A nationwide survey was conducted that reveals a student perspective on the issue, which current literature fails to adequately address. Based on the findings from the survey, an XML-based representation was created that provides a unique perspective on the linkages between the problems and causes identified. Finally, the focus was then shifted to the proposal of a novel approach for diagnosing the major collaboration problems identified. The originality and significance of this approach lies in the provision of various methods for ascertaining the existence of different collaboration problems identified, based on student interaction data that result from the group work examined. The evaluation procedure focused on the development of a supporting tool and several experiments with a test dataset. The results of the evaluation show that the feasibility and effectiveness are sustained, to a great extent, for the diagnostic methods addressed. Besides these main proposals, this research has explored a multi-agent architecture to unify all the components derived for intelligently managing online collaborative learning, which suggests an overarching framework providing context for other parts of this thesis.
9
Harrichunder, Rajen. "A learning support system for the Visual Simulation Environment." Master's thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-02022010-020139/.
Full text
10
Gouveia, Luis Manuel Borges. "A visualisation design for sharing knowledge : a virtual environment for collaborative learning support." Thesis, Lancaster University, 2001. http://eprints.lancs.ac.uk/11950/.
Full text
11
Jantjies, Mmaki. "A framework to support multilingual mobile learning : a South African perspective." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/62611/.
Full textAbstract:
The proliferation of mobile phone ownership across the world has motivated education technology specialists to find ways of supporting the process of learning in both formal and informal environments through mobile devices. Mobile learning has introduced an opportunity for extending resources to learners in schools through ubiquitous devices. While there have been various pedagogical guidelines on how to create mobile learning systems for learning, little research presents support for developing multilingual mobile learning technology that can be used to support high school learning. This research presents mainly three case studies contributing to the development of a framework that can be used to support the development of multilingual mobile learning software combining technical and key pedagogical considerations to support the software development process. The approaches described by this framework also take into consideration the code-switching practice which is common in multilingual classrooms. Code-switching is a technique used in multilingual classrooms by teachers and learners to support learners to both interpret and understand learning content switching between two human languages in order to gain deeper perspectives on a topic. The first case study presented in the thesis describes creating appropriate content and learning activities that can be used through mobile learning supporting the code-switching behaviour of multilingual learners in formal learning. The second case study reports on supporting learning activities and content in informal learning environments. The third case study reflects on different language support characteristics that can be embedded in systems or used as additional systems to support multilingual mobile learning content development in cases where language specialists are a rare resource. The thesis is completed through an evaluation of the framework’s practicality in supporting the pedagogical considerations to be made when developing mobile learning systems for use in multilingual high schools. The cases presented in this thesis are based on a South African context.
12
Wilson, Sheryl Lee. "A neuropsychological investigation of the memory skills of learning-disabled children compared to normal children." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184900.
Full textAbstract:
Memory is a complex cognitive process which has been widely researched within the field of neuropsychology. In clinical studies of adults, the Wechsler Memory Scale (WMS) is widely used. At this time there is no comparable clinical tool within the child literature pertaining to memory. There are studies which have extended the age limits of the WMS, but the youngest sample ranged from 10 to 14 years of age. The present research was conducted in two studies. The first study concerns the development of a memory scale for use with children aged six to twelve. This scale, Wilson's Adapted Memory Scale for Children (WAMS-C), was constructed utilizing the basic structure and subtests of the WMS. The scale was administered to 33 normal children, ranging in age from 6 to 12 years. It was hypothesized that the scale would reflect the developmental nature of memory as well as the relationship between memory and intelligence. The second study compared the memory skills of a learning disabled (LD) sample of children to those of a sample of normal learning (NL) children. A specific profile of academic achievement was used to define the LD children who participated in this study. (Reading and Spelling impaired, and relatively better Arithmetic skills). Research conducted by Rourke and his associates identified this subtype of LD children and provided predictions pertaining to their differential performance on verbal and visual tasks. The WAMS-C contains both verbal and visual memory tasks. It was predicted that these children would (1) do less well than NL children on the memory scale and (2) that these LD children would be impaired on the verbal memory portion of the WAMS-C, compared to NL children, but would exhibit equivalent performance on the visual memory tasks. The results of the studies showed the WAMS-C to reflect the developmental nature of memory and the relationship with intelligence. Also, LD children had significantly lower scores on the WAMS-C. However, neither the verbal or visual subtests differentiated between groups. Rather, subtests which may reflect short-term memory deficits and/or attentional problems appeared responsible for the differences found.
13
Allwihan, Ragad Mohammad. "Investigating methods of capturing and sharing learning experience during field trip to support students activity." Thesis, University of Nottingham, 2015. http://eprints.nottingham.ac.uk/30568/.
Full textAbstract:
Field trips provide memorable experiences that help students to understand different aspects of natural sciences. They are considered as essential and effective teaching methods to use in environmental sciences such as geography, biology, and architecture (Rieger and Gay, 1997). Traditional methods for capturing experiences during field trips include documentation in the form of student note-taking and photographs. Whilst these are easy to use in the field, effort is required to convert this information into a format that can be easily shared with others and used to write up reports after the field trip event. Recent developments in digital and mobile technologies provide students with a range of software applications that could be used to facilitate capture and sharing of the field trip experience. These technologies offer additional advantages such as social interactivity, connectivity, individuality, portability and context sensitivity (Klopfer et al., 2002). The focus of this PhD research was to understand the role of smart mobile technology in supporting note taking activities during field trips. In addition, this research aimed to investigate the impact of using these devices to enhance field experiences in different contexts. A series of case studies were conducted with undergraduate students from different disciplines who conduct field studies as part of their coursework (geography and architecture). Consideration was also given to the clinical practice context for nursing students. Previous studies had examined the use of mobile devices in educational field trips but none had assessed the use of generic mobile technologies such as the new generation of smart mobile devices. In recognition of the increasing availability and use of these smart mobile devices, this research identified user requirements for information capture and sharing in field studies as well as the development of generic guidelines for design and implementation of mobile applications and tools in forthcoming years. The research provided an understanding of generic requirements (and context-specific requirements) in order to inform recommendations for use of mobile technologies in field study activities. This required understanding specific goals of the users to perform specified task in specific environments in the context of usability, effectiveness, efficiency and satisfaction toward (Bevan, 1995). In the initial stages of the research, three contexts of use for development of knowledge and practical skills in undergraduate students were considered. Four main studies were conducted, utilising a qualitative approach and applying a variety of methods. The characteristics of the target users, the understanding and meaning of their field experience, the kind of support that the mobile technology could usefully provide in the fieldwork were identified. The later stages of the research focused on the field trip excursions made by geography students and architecture students and considered the applicability of the research outcomes to the nursing students context in order to examine generalisability of the recommendations. The overall outcomes of this research show that current generation of mobile devices such as smart phones and tablets play a positive role in enhancing the capturing and sharing learning experience in undergraduate field trips. However, the enhancement is appeared when the participants are provided with training to familiarise them with use of the mobile devices before going into the field. The contribution of this thesis is the identification of user needs and requirements, and an understanding of what makes mobile technology good to use in the field. Recommendations are provided that could influence the education sector to consider the smart mobile devices as field equipment and to find ways to encourage students to use them in the field.
14
Major, Louis. "An empirical investigation into the effectiveness of a robot simulator as a tool to support the learning of introductory programming." Thesis, Keele University, 2014. http://eprints.keele.ac.uk/618/.
Full textAbstract:
Background: Robots have been used in the past as tools to aid the teaching of programming. There is limited evidence, however, about the effectiveness of simulated robots for this purpose. Aim: To investigate the effectiveness of a robot simulator, as a tool to support the learning of introductory programming, by undertaking empirical research involving a range of participants. Method: After the completion of a Systematic Literature Review, and exploratory research involving 33 participants, a multi-case case study was undertaken. A robot simulator was developed and it was subsequently used to run four 10-hour programming workshops. Participants included students aged 16 to 18 years old (n. 23) and trainee teachers (n. 23). Three in-service teachers (n. 3) also took part. Effectiveness was determined by considering participants’ opinions, attitudes and motivation using the simulator in addition to an analysis of the students’ programming performance. Pre- and post-questionnaires, in- and post-workshop programming exercises, interviews and observations were used to collect data. Results: Participants enjoyed learning using the simulator and believed the approach to be valuable and engaging. Whilst several factors must be taken into consideration, the programming performance of students indicates that the simulator aids learning as most completed tasks to a satisfactory standard. The majority of trainee teachers, who had learned programming beforehand, believed that the simulator offered a more effective means of introducing the subject compared to their previous experience. In-service teachers were of the opinion that a simulator offers a valuable means for supporting the teaching of programming. Conclusion: Evidence suggests that a robot simulator can offer an effective means of introducing programming concepts to novices. Recommendations and suggestions for future research are presented based on the lessons learned. It is intended that these will help to guide the development and use of robot simulators in order to teach programming.
15
Poussa, Cherry. "Designing and evaluating virtual persuasive agents in providing social support for Web-based learning self-efficacy in nurse education." Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/42226/.
Full textAbstract:
Students learning in blended learning and classroom environments benefit from social interaction and vicarious learning experience with their peers and tutors. In comparison, students learning via self-directed Web-based learning cannot benefit from these advantages and may feel isolated. This research investigates if the presence of virtual persuasive agents presented as avatars, happy images and encouraging text can provide social support similar to real peers and improve students’ Web-based learning self-efficacy (WBLSE). This research also examines if low and high fidelity virtual persuasive agents can provide social support in a similar way. This study uses Bandura’s (1982) self-efficacy theory as a framework for changing nursing students’ beliefs in using the Web for learning. The basis for including virtual persuasive agents in this research stems from the media equation theory (Reeves & Nass, 1996) which holds that Computers are Social Actors (CASA) and that people respond to Web-based media as if they were social actors. Adopting the User-Centred Design approach, a bespoke Web-based training package was developed for changing pre-registration and post-registration nursing students’ WBLSE. In a quasi-experimental design, the package was delivered in three separate studies to different groups of pre-registration and post-registration nursing students. Several important findings contributed to the WBLSE body of knowledge. Overall, the training package was found to be effective with the nursing students’ WBLSE improving equally in the intervention groups in all studies. Pre-registration students showed the greatest improvement when learning by self-direction supported by virtual persuasive agents, whereas post-registration students improved when learning in a blended setting without their support. Low-fidelity virtual persuasive agents were sufficient in providing social support for pre-registration students in self-directed settings. The implications for Web-based learning in nurse education, research and practice are discussed.
16
Lukman, Heryawan. "A Computer-mediated Support for Writing Medical Notes with Coder's Perspective." Kyoto University, 2020. http://hdl.handle.net/2433/259072.
Full textAbstract:
付記する学位プログラム名: デザイン学大学院連携プログラムKyoto University (京都大学)
0048
新制・課程博士
博士(情報学)
甲第22804号
情博第734号
新制||情||125(附属図書館)
京都大学大学院情報学研究科社会情報学専攻
(主査)教授 黒田 知宏, 教授 吉川 正俊, 教授 緒方 広明
学位規則第4条第1項該当
17
Arslan, Hilal. "Machine Learning Methods For Promoter Region Prediction." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613363/index.pdf.
Full textAbstract:
Promoter classification is the task of separating promoter from non promoter sequences. Determining promoter regions where the transcription initiation takes place is important for several reasons such as improving genome annotation and defining transcription start sites. In this study, various promoter prediction methods called ProK-means, ProSVM, and 3S1C are proposed. In ProSVM and ProK-means algorithms, structural features of DNA sequences are used to distinguish promoters from non promoters. Obtained results are compared with ProSOM which is an existing promoter prediction method. It is shown that ProSVM is able to achieve greater recall rate compared to ProSOM results. Another promoter prediction methods proposed in this study is 3S1C. The difference of the proposed technique from existing methods is using signal, similarity, structure, and context features of DNA sequences in an integrated way and a hierarchical manner. In addition to current methods related to promoter classification, the similarity feature, which compares the promoter regions between human and other species, is added to the proposed system. We show that the similarity feature improves the accuracy. To classify core promoter regions, firstly, signal, similarity, structure, and context features are extracted and then, these features are classified separately by using Support Vector Machines. Finally, output predictions are combined using multilayer perceptron. The result of 3S1C algorithm is very promising.
18
Alghamdi, Ashwag. "Effects of an Electronic Visual Activity Schedule on Independence for a Student with Severe Disability." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/etd/3591.
Full textAbstract:
This study investigated the effects of an electronic visual activity schedule (eVAS; i.e., FIRST THEN Visual Schedule application) paired with the system of least prompts on the latency period and level of independence that a fifth-grade student with Intellectual Disability needed to transition throughout the day. Also investigated were the value that the teacher and student placed on the use of an eVAS to teach daily life and school routines instead of typical instruction (e.g., traditional visual schedule) and the student’s ability to generalize the use of the eVAS across instructors and materials (display). An ABAB single case design was used to investigate the effects of the eVAS app. Study research results indicated a functional relation between the use of the eVAS paired with the system of least prompts and the students correct responding and decreased latency. Limitations of the study and the suggestions for future research are discussed.
19
Nordén, Frans, and Reis Marlevi Filip von. "A Comparative Analysis of Machine Learning Algorithms in Binary Facial Expression Recognition." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254259.
Full textAbstract:
In this paper an analysis is conducted regarding whether a higher classification accuracy of facial expressions are possible. The approach used is that the seven basic emotional states are combined into a binary classification problem. Five different machine learning algorithms are implemented: Support vector machines, Extreme learning Machine and three different Convolutional Neural Networks (CNN). The utilized CNN:S were one conventional, one based on VGG16 and transfer learning and one based on residual theory known as RESNET50. The experiment was conducted on two datasets, one small containing no contamination called JAFFE and one big containing contamination called FER2013. The highest accuracy was achieved with the CNN:s where RESNET50 had the highest classification accuracy. When comparing the classification accuracy with the state of the art accuracy an improvement of around 0.09 was achieved on the FER2013 dataset. This dataset does however include some ambiguities regarding what facial expression is shown. It would henceforth be of interest to conduct an experiment where humans classify the facial expressions in the dataset in order to achieve a benchmark.
20
Rangavajjula, Santosh Bharadwaj. "Design of information tree for support related queries: Axis Communications AB : An exploratory research study in debug suggestions with machine learning at Axis Communications, Lund." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16826.
Full textAbstract:
Context: In today's world, we have access to so much data than at any time in the past with more and more data coming from smartphones, sensors networks, and business processes. But, most of this data is meaningless, if it's not properly formatted and utilized. Traditionally, in service support teams, issues raised by customers are processed locally, made reports and sent over in the support line for resolution. The resolution of the issue then depends on the expertise of the technicians or developers and their experience in handling similar issues which limits the size, speed, and scale of the problems that can be resolved. One solution to this problem is to make relevant information tailored to the issue under investigation to be easily available. Objectives: The focus of the thesis is to improve turn around time of customer queries using recommendations and evaluate by defining metrics in comparison to existing workflow. As Artificial Intelligence applications can have a broad spectrum, we confine the scope with a relevance in software service and Issue Tracking Systems. Software support is a complicated process as it involves various stakeholders with conflicting interests. During the course of this literary work, we are primarily interested in evaluating different AI solutions specifically in the customer support space customize and compare them. Methods: The following thesis work has been carried out by making controlled experiments using different datasets and Machine learning models. Results: We classified Axis data and Bugzilla (eclipse) using Decision Trees, K Nearest Neighbors, Neural Networks, Naive Bayes and evaluated them using precision, recall rate, and F-score. K Nearest Neighbors was having precision 0.11, recall rate 0.11, Decision Trees had precision 0.11, recall rate 0.11, Neural Networks had precision 0.13, recall rate 0.11 and Naive Bayes had precision 0.05, recall rate 0.11. The result shows too many false positives and true negatives for being able to recommend. Conclusions: In this Thesis work, we have gone through 33 research articles and synthesized them. Existing systems in place and the current state of the art is described. A debug suggestion tool was developed in python with SKlearn. Experiments with different Machine Learning models are run on the tool and highest 0.13 (precision), 0.10 (f-score), 0.11 (recall) are observed with MLP Classification Neural Network.
21
Ozogur-akyuz, Sureyya. "A Mathematical Contribution Of Statistical Learning And Continuous Optimization Using Infinite And Semi-infinite Programming To Computational Statistics." Phd thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/3/12610381/index.pdf.
Full textAbstract:
A subfield of artificial intelligence, machine learning (ML), is concerned with the development of algorithms that allow computers to &ldquolearn&rdquo
. ML is the process of training a system with large number of examples, extracting rules and finding patterns in order to make predictions on new data points (examples). The most common machine learning schemes are supervised, semi-supervised, unsupervised and reinforcement learning. These schemes apply to natural language processing, search engines, medical diagnosis, bioinformatics, detecting credit fraud, stock market analysis, classification of DNA sequences, speech and hand writing recognition in computer vision, to encounter just a few. In this thesis, we focus on Support Vector Machines (SVMs) which is one of the most powerful methods currently in machine learning. As a first motivation, we develop a model selection tool induced into SVM in order to solve a particular problem of computational biology which is prediction of eukaryotic pro-peptide cleavage site applied on the real data collected from NCBI data bank. Based on our biological example, a generalized model selection method is employed as a generalization for all kinds of learning problems. In ML algorithms, one of the crucial issues is the representation of the data. Discrete geometric structures and, especially, linear separability of the data play an important role in ML. If the data is not linearly separable, a kernel function transforms the nonlinear data into a higher-dimensional space in which the nonlinear data are linearly separable. As the data become heterogeneous and large-scale, single kernel methods become insufficient to classify nonlinear data. Convex combinations of kernels were developed to classify this kind of data [8]. Nevertheless, selection of the finite combinations of kernels are limited up to a finite choice. In order to overcome this discrepancy, we propose a novel method of &ldquo
infinite&rdquo
kernel combinations for learning problems with the help of infinite and semi-infinite programming regarding all elements in kernel space. This will provide to study variations of combinations of kernels when considering heterogeneous data in real-world applications. Combination of kernels can be done, e.g., along a homotopy parameter or a more specific parameter. Looking at all infinitesimally fine convex combinations of the kernels from the infinite kernel set, the margin is maximized subject to an infinite number of constraints with a compact index set and an additional (Riemann-Stieltjes) integral constraint due to the combinations. After a parametrization in the space of probability measures, it becomes semi-infinite. We analyze the regularity conditions which satisfy the Reduction Ansatz and discuss the type of distribution functions within the structure of the constraints and our bilevel optimization problem. Finally, we adapted well known numerical methods of semiinfinite programming to our new kernel machine. We improved the discretization method for our specific model and proposed two new algorithms. We proved the convergence of the numerical methods and we analyzed the conditions and assumptions of these convergence theorems such as optimality and convergence.
22
Engström, Freja, and Rojas Disa Nilsson. "Prediction of the future trend of e-commerce." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301950.
Full textAbstract:
In recent years more companies have invested in electronic commerce as a result of more customers using the internet as a tool for shopping. However, the basics of marketing still apply to online stores, and thus companies need to conduct market analyses of customers and the online market to be able to successfully target customers online. In this report, we propose the use of machine learning, a tool that has received a lot of attention and positive affirmation for the ability to tackle a range of problems, to predict future trends of electronic commerce in Sweden. More precise, to predict the future share of users of electronic commerce in general and for certain demographics. We will build three different models, polynomial regression, SVR and ARIMA. The findings from the constructed forecasts were that there are differences between different demographics of customers and between groups within a certain demographic. Furthermore, the result showed that the forecast was more accurate when modelling a certain demographic than the entire population. Companies can thereby possibly use the models to predict the behaviour of certain smaller segments of the market and use that in their marketing to attract these customers.Pa senare år har många företag investerat i elektronisk handel, även kallat e-handel, vilket är ett resultat av att individer i samhället i större utsträckning använder internet som ett redskap. Grunderna för marknadsföring gäller fortfarande för webbaserade butiker, och därmed behöver företag genomföra marknadsanalyser över potentiella kunder och internet-marknaden för att kunna lansera starka marknadsföringskampanjer. I denna rapport föreslår vi användning av maskininlärning, ett verktyg som har fått mycket uppmärksamhet på senaste tiden för dess förmåga att hantera olika problem kring data och för att prognostisera framtida trender för e-handel i Sverige. Mer exakt kommer andelen användare av e-handel i framtiden prognostiseras, både generellt och för enskilda demografier. Vi kommer att implementera tre olika modeller, polynomisk regression, SVR och ARIMA. Resultaten från de konstruerade prognoserna visar att det finns tydliga skillnader mellan olika demografier av kunder och mellan grupper inom en viss demografi. Dessutom visade resultaten att prognoserna var mer exakta vid modellering av en viss demografi än över hela befolkningen. Företag kan därmed möjligtvis använda modellerna för att förutsäga beteendet hos vissa mindre segment av marknaden.
23
Koziel, Sylvie Evelyne. "From data collection to electric grid performance : How can data analytics support asset management decisions for an efficient transition toward smart grids?" Licentiate thesis, KTH, Elektroteknisk teori och konstruktion, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-292323.
Full textAbstract:
Physical asset management in the electric power sector encompasses the scheduling of the maintenance and replacement of grid components, as well as decisions about investments in new components. Data plays a crucial role in these decisions. The importance of data is increasing with the transformation of the power system and its evolution toward smart grids. This thesis deals with questions related to data management as a way to improve the performance of asset management decisions. Data management is defined as the collection, processing, and storage of data. Here, the focus is on the collection and processing of data. First, the influence of data on the decisions related to assets is explored. In particular, the impacts of data quality on the replacement time of a generic component (a line for example) are quantified using a scenario approach, and failure modeling. In fact, decisions based on data of poor quality are most likely not optimal. In this case, faulty data related to the age of the component leads to a non-optimal scheduling of component replacement. The corresponding costs are calculated for different levels of data quality. A framework has been developed to evaluate the amount of investment needed into data quality improvement, and its profitability. Then, the ways to use available data efficiently are investigated. Especially, the possibility to use machine learning algorithms on real-world datasets is examined. New approaches are developed to use only available data for component ranking and failure prediction, which are two important concepts often used to prioritize components and schedule maintenance and replacement. A large part of the scientific literature assumes that the future of smart grids lies in big data collection, and in developing algorithms to process huge amounts of data. On the contrary, this work contributes to show how automatization and machine learning techniques can actually be used to reduce the need to collect huge amount of data, by using the available data more efficiently. One major challenge is the trade-offs needed between precision of modeling results, and costs of data management.QC 20210330
24
Ahnesjö, Henrik. "Fault detection of planetary gearboxes in BLDC-motors using vibration and acoustic noise analysis." Thesis, Uppsala universitet, Institutionen för elektroteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-425966.
Full textAbstract:
This thesis aims to use vibration and acoustic noise analysis to help a production line of a certain motor type to ensure good quality. Noise from the gearbox is sometimes present and the way it is detected is with a human listening to it. This type of error detection is subjective, and it is possible for human error to be present. Therefore, an automatic test that pass or fail the produced Brush Less Direct Current (BLDC)-motors is wanted. Two measurement setups were used. One was based on an accelerometer which was used for vibration measurements, and the other based on a microphone for acoustic sound measurements. The acquisition and analysis of the measurements were implemented using the data acquisition device, compactDAQ NI 9171, and the graphical programming software, NI LabVIEW. Two methods, i.e., power spectrum analysis and machine learning, were used for the analyzing of vibration and acoustic signals, and identifying faults in the gearbox. The first method based on the Fast Fourier transform (FFT) was used to the recorded sound from the BLDC-motor with the integrated planetary gearbox to identify the peaks of the sound signals. The source of the acoustic sound is from a faulty planet gear, in which a flank of a tooth had an indentation. Which could be measured and analyzed. It sounded like noise, which can be used as the indications of faults in gears. The second method was based on the BLDC-motors vibration characteristics and uses supervised machine learning to separate healthy motors from the faulty ones. Support Vector Machine (SVM) is the suggested machine learning algorithm and 23 different features are used. The best performing model was a Coarse Gaussian SVM, with an overall accuracy of 92.25 % on the validation data.
25
Alsouda, Yasser. "An IoT Solution for Urban Noise Identification in Smart Cities : Noise Measurement and Classification." Thesis, Linnéuniversitetet, Institutionen för fysik och elektroteknik (IFE), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-80858.
Full textAbstract:
Noise is defined as any undesired sound. Urban noise and its effect on citizens area significant environmental problem, and the increasing level of noise has become a critical problem in some cities. Fortunately, noise pollution can be mitigated by better planning of urban areas or controlled by administrative regulations. However, the execution of such actions requires well-established systems for noise monitoring. In this thesis, we present a solution for noise measurement and classification using a low-power and inexpensive IoT unit. To measure the noise level, we implement an algorithm for calculating the sound pressure level in dB. We achieve a measurement error of less than 1 dB. Our machine learning-based method for noise classification uses Mel-frequency cepstral coefficients for audio feature extraction and four supervised classification algorithms (that is, support vector machine, k-nearest neighbors, bootstrap aggregating, and random forest). We evaluate our approach experimentally with a dataset of about 3000 sound samples grouped in eight sound classes (such as car horn, jackhammer, or street music). We explore the parameter space of the four algorithms to estimate the optimal parameter values for the classification of sound samples in the dataset under study. We achieve noise classification accuracy in the range of 88% – 94%.
26
Herout, Lukáš. "Specifika elektronických studijních opor v systému řízeného samostudia." Doctoral thesis, 2015. http://www.nusl.cz/ntk/nusl-334649.
Full textAbstract:
This dissertation thesis deals with the exploration of the issue of electronic learning supports intended to boost controlled self-study within university environment. This paper proceeds from the presumption that electronic learning supports are a suitable tool with a didactic potential in education which will make university self-study more effective and which will help students to meet the demanded requirements even more effectively than with commonly used learning materials. The paper deals with the definition of conceptual constructs from the field of electronic learning supports and also with the analysis of their didactic capabilities, limits and ways of usage with added specification of functional and didactic aspects of audio-visual learning supports. The empiric part of the paper uses a pedagogic experiment to verify the influence of the electronic learning supports on the university student's results within the controlled self-study. The paper complexly develops the theory of electronic learning supports from the point of view of current didactic resource and its inclusion into current structures of pedagogy and didactics.
27
Meier, Scott Alan Kelly Steven N. "The effect of lecture support media on software skills learning." Diss., 2007. http://etd.lib.fsu.edu/theses/available/etd-11132007-153254/.
Full textAbstract:
Dissertation (Ph.D.) Florida State University, 2007.Advisor: Steven N. Kelly, Florida State University, College of Music. Title and description from dissertation home page (viewed 3-28-2008). Document formatted into pages; contains 136 pages. Includes biographical sketch. Includes bibliographical references.
28
Che-Hsu, Wu, and 吳哲旭. "A Study of Computer-based Simulation Learning System with Different Learning Support Strategies Using in Electronics." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/92867129476048279370.
Full textAbstract:
碩士國立臺灣師範大學
工業科技教育學系
96
This study presents an approach for learning electronics in a computer-based simulation learning system, collocate with different kinds of learning support mechanisms, to help students avert studying adrift and blindly, and also help students to make up a deficiency of prerequisite knowledge and study motivation. The purposes of this research are to design three modules of physical characteristic of the semiconductor unit for college’s electronics course. There are: (1) computer-based simulation learning module; (2) adaptive guiding module in a computer-based simulation learning environment; and (3) self-regulated learning module in a computer-based simulation learning environment, and then, to compare students’ learning achievement with these there kinds of learning support strategies. The methods in this study consist of the literature review of studies and quasi-experimental design. The analysis of studies were for the purposes to construct the 「Computer-based Simulation Learning Module」、the「Adaptive Guiding Module in a Computer-based Simulation Learning Environment」and the「Self-regulated Learning Module in a Computer-based Simulation Learning Environment」. The participants of the quasi-experimental design were 92 of the forth-grade college students in Taipei County, who were divided into three groups randomly, the experimental group 1, the experimental group2, and the control group, to deal with three kinds learning support strategies. Furthermore, each group was divided into two parts - high level and low level, according to their study motivation in order to discuss further about what kinds of strategies will influence more to students’ study motivation in the Computer-based Simulation Learning environments. There are three research instruments in this study; the Basic Electricity Test was used as a pretest to understand the students’ prerequisite knowledge; the Scale of Electronics Learning Motivation and the Electronics Achievement Test were used as the pretest-posttest to read the students’ variations after the experiment. Then the results and data are examined by t-test, one-way Analysis of Covariance (ANCOVA), and two-way ANCOVA. Additionally, qualitative observation results were discussed. The main findings of this study are as follows: 1.In the Computer-based Simulation Electronics Learning System, the students’ learning achievements in the experiment groups were both significantly better than those in the control group. 2.There was no significant difference in students’ learning achievement for the high-level motivation students in each group. 3.In the Computer-based Simulation learning environment, the Adaptive Guiding support strategy was significantly better than those in the other group for low-level motivation students. 4.The students divided by prerequisite knowledge and learning motivation will be influenced to their study pattern and simulation operation behavior in the different learning support strategies in the computer-based simulation learning environment, because of the levels of students’ motivation and the sufficiency of prerequisite knowledge.
29
Nova, Bruno Miguel Barroso da. "Tool to Support Computer Architecture Teaching and Learning." Dissertação, 2013. https://repositorio-aberto.up.pt/handle/10216/68509.
Full textAbstract:
A arquitectura de computadores é uma disciplina importante dos cursos de engenharia informática e electrotécnica, onde os estudantes ficam a conhecer como um CPU funciona internamente.No entanto, os estudantes demonstram algumas dificuldades nesta disciplina.Isto deve-se à ausência de ferramentas educativas versáteis que simulem o funcionamento de um processador de forma intuitiva, integrada, gráfica e configurável.Uma das arquitecturas de processadores mais usadas para o ensino de arquitectura de computadores é o MIPS.A arquitectura tem algumas versões diferentes, mas as mais usadas no ensino são as versões uniciclo e pipeline de 5 etapas.Nesta dissertação, um simulador educativo do MIPS, DrMIPS, é descrito.Esta ferramenta simula a execução de um programa em assembly no CPU, passo-a-passo, e mostra o estado do caminho de dados graficamente.Registos, memória de dados e código assemblado também são mostrados, e um "modo de desempenho" para análise de latências e caminho crítico é fornecido.Ambas as implementações uniciclo e pipeline são suportadas e os CPUs e seus conjuntos de instruções são configuráveis. A implementação pipeline inclui detecção e resolução completa de conflitos.A ferramenta pretende ajudar os estudantes a entender tópicos como a composição e funcionamento de um caminho de dados, pipelining, codificação de instruções e desempenho de processadores.Está disponível não só para PCs mas também para tablets Android. Nenhuma das outras ferramentas existentes tem uma versão para Android e esta é uma plataforma que está a ganhar bastante popularidade.A ferramenta suporta vários idiomas e é bastante intuitiva e versátil em ambas as plataformas.Computer architecture is an important subject for informatics and electrical engineering courses, where students get to know how a CPU works internally.However, the students exhibit some difficulties in this subject.This is due to the lack of versatile educational tools that simulate the operation of a processor in an intuitive, integrated, graphical and configurable way.One of the most used processor architectures for teaching computer architecture is MIPS.The architecture has a few different versions, but the most used for teaching are the unicycle and the 5-stage pipeline.In this dissertation, an educational MIPS simulator, DrMIPS, is described.This tool simulates the execution of an assembly program on the CPU, step-by-step, and displays the status of the datapath graphically.Registers, data memory and assembled code are also displayed, and a "performance mode" for latencies and critical path analysis is also provided.Both unicycle and pipeline implementations are supported and the CPUs and their instruction sets are configurable. The pipeline implementation includes complete hazard detection and resolution.The tool seeks to help students to understand topics like the composition and operation of a datapath, pipelining, instruction encoding and processor measuring.It is available not only for PCs but also for Android tablets. None of the other existing tools have a version for Android and this is a platform that is becoming very popular.The tool supports multiple languages and is fairly intuitive and versatile on both platforms.
30
Nova, Bruno Miguel Barroso da. "Tool to Support Computer Architecture Teaching and Learning." Master's thesis, 2013. https://repositorio-aberto.up.pt/handle/10216/68509.
Full textAbstract:
A arquitectura de computadores é uma disciplina importante dos cursos de engenharia informática e electrotécnica, onde os estudantes ficam a conhecer como um CPU funciona internamente.No entanto, os estudantes demonstram algumas dificuldades nesta disciplina.Isto deve-se à ausência de ferramentas educativas versáteis que simulem o funcionamento de um processador de forma intuitiva, integrada, gráfica e configurável.Uma das arquitecturas de processadores mais usadas para o ensino de arquitectura de computadores é o MIPS.A arquitectura tem algumas versões diferentes, mas as mais usadas no ensino são as versões uniciclo e pipeline de 5 etapas.Nesta dissertação, um simulador educativo do MIPS, DrMIPS, é descrito.Esta ferramenta simula a execução de um programa em assembly no CPU, passo-a-passo, e mostra o estado do caminho de dados graficamente.Registos, memória de dados e código assemblado também são mostrados, e um "modo de desempenho" para análise de latências e caminho crítico é fornecido.Ambas as implementações uniciclo e pipeline são suportadas e os CPUs e seus conjuntos de instruções são configuráveis. A implementação pipeline inclui detecção e resolução completa de conflitos.A ferramenta pretende ajudar os estudantes a entender tópicos como a composição e funcionamento de um caminho de dados, pipelining, codificação de instruções e desempenho de processadores.Está disponível não só para PCs mas também para tablets Android. Nenhuma das outras ferramentas existentes tem uma versão para Android e esta é uma plataforma que está a ganhar bastante popularidade.A ferramenta suporta vários idiomas e é bastante intuitiva e versátil em ambas as plataformas.Computer architecture is an important subject for informatics and electrical engineering courses, where students get to know how a CPU works internally.However, the students exhibit some difficulties in this subject.This is due to the lack of versatile educational tools that simulate the operation of a processor in an intuitive, integrated, graphical and configurable way.One of the most used processor architectures for teaching computer architecture is MIPS.The architecture has a few different versions, but the most used for teaching are the unicycle and the 5-stage pipeline.In this dissertation, an educational MIPS simulator, DrMIPS, is described.This tool simulates the execution of an assembly program on the CPU, step-by-step, and displays the status of the datapath graphically.Registers, data memory and assembled code are also displayed, and a "performance mode" for latencies and critical path analysis is also provided.Both unicycle and pipeline implementations are supported and the CPUs and their instruction sets are configurable. The pipeline implementation includes complete hazard detection and resolution.The tool seeks to help students to understand topics like the composition and operation of a datapath, pipelining, instruction encoding and processor measuring.It is available not only for PCs but also for Android tablets. None of the other existing tools have a version for Android and this is a platform that is becoming very popular.The tool supports multiple languages and is fairly intuitive and versatile on both platforms.
31
Mota, Maria Dulce Fernandes. "A model for teaching-learning techniques recommendation to support teaching-learning activities design." Tese, 2018. https://repositorio-aberto.up.pt/handle/10216/113819.
Full text
32
Mota, Maria Dulce Fernandes. "A model for teaching-learning techniques recommendation to support teaching-learning activities design." Doctoral thesis, 2018. https://repositorio-aberto.up.pt/handle/10216/113819.
Full text
33
Klein, Theresa J. "Using reinforcement learning to control advanced life support systems." Thesis, 2005. http://hdl.handle.net/1911/17794.
Full textAbstract:
This thesis deals with the application of reinforcement learning techniques to the control of a closed life support system simulator, such as could be used on a long duration space mission. We apply reinforcement learning to two different aspects of the simulator, control of recycling subsystems, and control of crop planting schedules. Comparisons are made between distributed and centralized controllers, generalized and non-generalized RL, and between different approaches to the construction of the state table and the design of reward functions. Distributed controllers prove to be superior to centralized controllers both in terms of speed and performance of the controller. Generalization helps to speed convergence, but the performance of the policy derived is dependent on the shape of the reward function.
34
Bernardino, João Miguel Neves. "Bio-Measurements Estimation and Support in Knee Recovery through Machine Learning." Dissertação, 2018. https://repositorio-aberto.up.pt/handle/10216/114085.
Full text
35
Bernardino, João Miguel Neves. "Bio-Measurements Estimation and Support in Knee Recovery through Machine Learning." Master's thesis, 2018. https://repositorio-aberto.up.pt/handle/10216/114085.
Full text
36
Stewart, Rosanne. "A support environment for the teaching of programming." Thesis, 1996. http://hdl.handle.net/10413/5705.
Full textAbstract:
This thesis examines the effectiveness of a specially constructed computer based support
environment for the teaching of computer programming to novice programmers. In order
to achieve this, the following distinct activities were pursued. Firstly, an in-depth
investigation of programming misconceptions and techniques used for overcoming them
was carried out. Secondly, the educational principles gained from this investigation were
used to design and implement a computer based environment to support novice
programmers learning the Pascal language. Finally, several statistical methods were used
to compare students who made use of the support environment to those who did not and
the results are discussed.Thesis (M.Sc.)-University of Natal, Pietermaritzburg, 1996.
37
Kuo-ChihLiao and 廖國智. "The Study of Relationships among Organizational Learning, Organizational Support and Innovative Capabilities – Based on Taiwan Electronic Connector Industry." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/26596146812918413337.
Full text
38
Cook, Antoinette. "The experiences of adult learners in distance education of SMS technology as a learning support tool." Diss., 2006. http://hdl.handle.net/2263/28353.
Full textAbstract:
The purpose of my study was to explain how adult learners in distance education experienced short message service (SMS) technology as a learning support tool. The study focused on a single unit of analysis, namely a SMS for academic purposes that was implemented in the final module, Practical Experience, of the Advanced Certificate in Education: Special Needs Education. This course is one of three in-service teacher training programmes offered by the Unit for Distance Education at the University of Pretoria (UP). The theoretical framework and literature review were operationalised by the development of a questionnaire. A record of the text message response schedules, and telephonic interviews comprised the other two data collection instruments. These data were integrated to provide an explanation of how learners experienced SMS technology as a learning support tool. Participants who were able to utilise and access the SMS said that it seemed to: motivate them, help them focus on their work and set goals. They could check on their progress and found the creation of flexible learning environments an additional benefit. Interactive learning environments that enabled them to construct new knowledge by actively engaging in the learning process benefited the participants. Constructivist principles of teaching and learning are inherent in this. The SMS did not seem to facilitate the development of interactive learning environments characterised by two-way communication channels for all the participants, as it also establishes one-way communication channels focused on delivering course content. Although participants indicated that this was helpful in giving them more information, they also expressed a need for more contact with their lecturers and with other learners for learning support purposes. Barriers to communication included faulty cellular phones, the cost of the SMS, and the lateness of text messages in relation to the due dates for assignments and projects. An overriding barrier was the difficulty participants seemed to have in understanding the instructions in the text messages. Recommendations are therefore made to improve future short message services in order to overcome this.Dissertation (MEd (Educational Psychology))--University of Pretoria, 2007.
Educational Psychology
MEd
unrestricted
39
Carvalho, Piedade Barros López de. "Electronic Performance Support Systems (EPSS) : factores que influenciam a sua adopção e uso nas organizações." Doctoral thesis, 2011. http://hdl.handle.net/1822/13900.
Full textAbstract:
Tese de doutoramento em Tecnologias e Sistemas de Informação (área de Conhecimento de Engenharia e Gestão de Sistemas de Informação)O presente estudo pretende identificar os factores que de per si constituam os melhores indicadores relacionados com a adopção e uso de Electronic Performance Support Systems (EPSS) nas organizações. Concretamente, seguindo os modelos e teorias de adopção de TI disponibilizados pelas Teorias de Aceitação bem como estudos efectuados no domínio de EPSS, os quais apontam a existência de diversos factores capazes de influenciar a sua utilização e sucesso, este estudo pretende avaliar eventuais mudanças nesses factores considerando a ideia de alguns autores que assumem existirem diferenças por tipo de TI. A estratégia de investigação adoptada baseou-se em estudos de caso com recurso às percepções dos participantes na utilização de três tipos de EPSS. Um EPSS extrínseco o qual foca o suporte informático disponibilizado aos alunos no seu processo de aprendizagem e gestão do conhecimento numa instituição do ensino superior. Um EPSS intrínseco o qual foca o suporte informático proporcionado a profissionais de saúde oral em tarefas multifacetadas do seu trabalho clínico. Um EPSS externo o qual foca o suporte informático proporcionado a funcionários de agências de viagens e turismo em tarefas multifacetadas do seu trabalho organizacional. Durante os estudos de caso optou-se por utilizar o método Delphi, conjuntamente com a técnica Q-Sort, no sentido de extrapolar os factores chave a considerar quando se pretende avançar para a intervenção de um destes tipos de EPSS. Este método foi submetido a cada um dos painéis de participantes criteriosamente seleccionados para cada caso. Da aplicabilidade deste método resultaram os factores chave relacionados com o uso e adopção para cada um dos três tipos de EPSS correspondente ao consenso dos factores no qual os participantes se reviam. Os resultados chave incluem: Factores que fortemente influenciam a intenção de utilização e bem assim a utilização efectiva de um EPSS extrínseco: valor acrescentado, demonstrabilidade dos resultados, qualidade do sistema, utilidade percebida, atitude em relação à TI e monitorização da tarefa. Factores que fortemente influenciam a intenção de utilização e bem assim a utilização efectiva de um EPSS intrínseco: utilidade percebida, atitude em relação às TI, experiências de adopção, treino e suporte técnico, qualidade do sistema, facilidade de utilização percebida, monitorização da tarefa, demonstrabilidade dos resultados e qualidade da infra-estrutura de comunicações. Factores que fortemente influenciam a intenção de utilização e bem assim a utilização efectiva de um EPSS externo: qualidade do sistema, qualidade da infra-estrutura de comunicações, treino e suporte técnico, atitude em relação à TI, conhecimentos de TI, utilidade percebida, autoconfiança, facilidade percebida, valor acrescentado, satisfação, conhecimentos da tarefa, características da tarefa, experiências de adopção e demonstrabilidade dos resultados. Porquanto os resultados de um trabalho envolvendo casos têm uma generalização limitada, os resultados podem ser considerados predominantemente válidos nos domínios abordados. A reunião da linha de casos estudada teve várias características diferentes. Por outro lado, os resultados revelaram-se ainda mais fascinantes na medida em que indicaram possibilidades interessantes para futuros trabalhos.
This study aims to identify the factors that are the best indicators related with the adoption and use of Electronic Performance Support Systems (EPSS) in the organizations. Actually, following the IT adoption models and theories disposed by the Acceptance Theories as well as studies performed in the EPSS domain, which aim the existence of diverse capable factors influencing its utilization and success, this study is going to evaluate eventual changes in those factors considering some authors idea that assume differences by kind of IT. The research strategy adopted was based on case studies using the participants' perceptions on the use of three types of EPSS. An extrinsic EPSS focused on the high school student’s technological support in their learning and knowledge management process. An intrinsic EPSS focused on the dental health workers technological support in their clinical tasks. An external EPSS focused on tourism agency employees’ technological support in their organizational tasks. During the case studies, it was chosen the Delphi method associated to Q-Sort technique, in order to extrapolate witch key factors are more relevant to be considered when trying to advance to the intervention of one type of EPSS. This method where submitted to each case study qualified members panel. From this method resulted the key factors to be considered when implementing and/or adopting each EPSS type, accordingly the recognized consence in witch the panel were renowned. The key findings include: Factors that are best predictors of EPSS adoption and usage, witch determine the intention to use, and consequently determines the actual use of the extrinsic EPSS: enhanced value, result demonstrability, system quality, perceived usefulness, attitude towards IT and task monitoring. Factors that are best predictors of EPSS adoption and usage, witch determine the intention to use, and consequently determines the actual use of the intrinsic EPSS: perceived usefulness, attitude towards IT, adoption experiences, train and technical support, system quality, perceived ease of use, task monitoring, result demonstrability and communications infrastructure quality. Factors that are best predictors of EPSS adoption and usage, witch determine the intention to use, and consequently determines the actual use of the external EPSS: system quality, communications infrastructure quality, train and technical support, attitude towards IT, IT knowledge, perceived usefulness, self-confidence, perceived ease of use, enhanced value, satisfaction, task knowledge, task culture, adoption experiences and result demonstrability. While the results of a study consisting of case studies have limited generability, the results can be considered mostly valid in the domain of performance studied. The assembly line cases studied had several dissimilar key characteristics. On the other hand, even those findings were most fascinating and indicate interesting possibilities for further research.
PRODEP III – Medida 5 – Acção 5.3 – Formação Avançada de Docentes do Ensino Superior, integrada no Eixo 3, Sociedade de Aprendizagem da intervenção Operacional da Educação do Ministério da Ciência e Ensino Superior
40
Wickremasuriya, Boosabaduge Achintha Hiruwan. "Development of a laboratory facility and experiments to support learning IEC 61850 based substation automation." 2016. http://hdl.handle.net/1993/30992.
Full textAbstract:
IEC 61850 is rapidly becoming the internationally recognized standard for substation automation systems making it an indispensable element in power system protection and automation education. In order to facilitate teaching this very practical subject, a laboratory setup was developed to demonstrate IEC 61850 station bus inter Intelligent Electronic Device (IED) communication. In this setup, an electrical substation was implemented in a real time digital simulator (RTDS) and protection schemes were implemented in IEC 61850 station bus compliant IEDs from different vendors. Trip signals and breaker statuses were exchanged between RTDS and IEDs using GOOSE (Generic Object Oriented Substation Event) messages. Several protection applications including a novel backup bus protection scheme were developed based on the setup to demonstrate the use of GOOSE messages in time critical applications. The developed test setup along with the designed laboratory exercises will undoubtedly enhance teaching, training and research in this important field.February 2016
41
Conradie, Martha Maria. "Towards electronic assessment of web-based textual responses." Diss., 2003. http://hdl.handle.net/10500/2463.
Full textAbstract:
Web-based learning should move away from static transmission of instruction to dynamic pages
for effective interactive learning. Furthermore, automated assessment of learning should move
beyond rigid quizzes or multiple-choice questions.
This study describes the design, development, implementation, testing and evaluation of two
prototypes of an electronic assessment tool to enhance the effectiveness of automated
assessment. The tool was developed in the context of a distance-learning organisation and
was built according to a development research model entailing a cyclic design-intervention-outcomes
process.
The first variant, E-Grader, was developed to test an algorithm for assigning marks to open-ended
textual responses. The second variant, Web-Grader, was an interactive web-based
extension of E-Grader. It provided immediate interactive support to students as they responded
textually to content-based questions.
This multi-disciplinary study incorporates principles and techniques from software engineering,
formal computer science, database development and instructional design in the quest towards
electronic assessment of web-based textual inputs.Computing
M.Sc. (Information Systems)
42
Alves, Cláudia Martins. "Signal processing and automatic classification tools in the development of a new opto-electronic nose." Master's thesis, 2018. http://hdl.handle.net/10362/51666.
Full textAbstract:
Bacterial infections are a worldwide concern due to the increasing microbial resistance
to antibiotics. Therefore, a need to create fast diagnose methods has risen.
Electronic noses are devices that try to mimic the olfactory system. These systems
became popular due to their fast response time and portability, and for that reason, they
are seen as a possible diagnose method.
In the Biomolecular Engineering laboratory, a project involving an electronic nose is
being developed, in which the final goal is the diagnosis of bacterial infections.
The objective of the present dissertation was to develop an analysis tools to complement
the system that is being developed.
First, some preprocessing methods were chosen and applied to the acquired data, then
a classification tool was developed. Machine learning algorithms were used: a recursive
feature selection method was applied to select the best features to characterize the signals
and a Support Vector Machine classifier trained to distinguish eleven volatile classes.
Five experiments were analysed and three different sensor formulations tested. Since
the device is yet not fully developed, samples which were used were not from bacteria.
Instead, simple volatile organic compounds were used.
The results showed that it was possible to efficiently distinguish all compounds with
the proposed methods. Moreover, important conclusions related with the current state
of the project where drawn. Namely, sensor stability is possible during long, continuous
periods of time, but limitations in the reproducibility of the production method may
influence the performance of the classifier.
43
Mays, Tony John. "Utilising open educational resources in support of curriculum transformation at Africa Nazarene University : a participatory action research approach." Thesis, 2017. http://hdl.handle.net/10500/22619.
Full textAbstract:
This thesis, Utilising Open Educational Resources in support of curriculum transformation at Africa Nazarene University: A participatory action research approach, derives from a multi-year project implemented by OER Africa, and funded by the Hewlett Foundation, to explore the potential of Open Educational Resources (OER) in support of pedagogic transformation in African universities. The project involves four institutions: Africa Nazarene University (ANU) in Kenya, the Open University of Tanzania (OUT), and the Universities of Pretoria and the Free State (UP and UFS) in South Africa. This study centred on ANU only in the period 2013 to 2016, with a focus on the period 2015-2016, and was timed to inform ANU’s new strategic planning process from 2017.
The wider project adopted a participatory action research process in its engagement with the four core institutions. Within this over-arching project methodology, this study made use of an analytical autoethnographic approach to capture and analyse data and to make recommendations, to acknowledge the researcher’s dual role as both a co-participant and an institutional project lead. The approach was informed primarily by hermeneutics and systems thinking and involved multiple in-country engagements with ANU and the triangulation of information derived from document review, observation and iterative focus group discussions and individual interviews. An OER Maturity Index and Planning Tool was also developed and used to inform planning and reflection and to provide a barometer of changing attitudes and activities regarding engagement with OER.
Initially the engagement focused on developing a supportive policy and capacity-building environment for individuals to integrate OER into specific Open, Distance and e-Learning (ODeL) courses and to publish revised course materials under an open licence. However, as the initiative progressed, it became apparent that there was need to revisit the institution’s overall business model considering increased competition, new regulatory requirements and a growing demand from students for more flexible forms of provision. In fact, the key finding of this study is the suggestion that engagement with OER is unlikely to move from being an individual to an institutional focus unless such engagement is aligned with the overall vision, mission and business model of the university.Curriculum and Instructional Studies
D. Ed. (Curriculum Studies)
44
Yehe, Nala. "Automatic Patent Classification." Thesis, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-49594.
Full textAbstract:
Patents have a great research value and it is also beneficial to the community of industrial, commercial, legal and policymaking. Effective analysis of patent literature can reveal important technical details and relationships, and it can also explain business trends, propose novel industrial solutions, and make crucial investment decisions. Therefore, we should carefully analyze patent documents and use the value of patents. Generally, patent analysts need to have a certain degree of expertise in various research fields, including information retrieval, data processing, text mining, field-specific technology, and business intelligence. In real life, it is difficult to find and nurture such an analyst in a relatively short period of time, enabling him or her to meet the requirement of multiple disciplines. Patent classification is also crucial in processing patent applications because it will empower people with the ability to manage and maintain patent texts better and more flexible. In recent years, the number of patents worldwide has increased dramatically, which makes it very important to design an automatic patent classification system. This system can replace the time-consuming manual classification, thus providing patent analysis managers with an effective method of managing patent texts. This paper designs a patent classification system based on data mining methods and machine learning techniques and use KNIME software to conduct a comparative analysis. This paper will research by using different machine learning methods and different parts of a patent. The purpose of this thesis is to use text data processing methods and machine learning techniques to classify patents automatically. It mainly includes two parts, the first is data preprocessing and the second is the application of machine learning techniques. The research questions include: Which part of a patent as input data performs best in relation to automatic classification? And which of the implemented machine learning algorithms performs best regarding the classification of IPC keywords? This thesis will use design science research as a method to research and analyze this topic. It will use the KNIME platform to apply the machine learning techniques, which include decision tree, XGBoost linear, XGBoost tree, SVM, and random forest. The implementation part includes collection data, preprocessing data, feature word extraction, and applying classification techniques. The patent document consists of many parts such as description, abstract, and claims. In this thesis, we will feed separately these three group input data to our models. Then, we will compare the performance of those three different parts. Based on the results obtained from these three experiments and making the comparison, we suggest using the description part data in the classification system because it shows the best performance in English patent text classification. The abstract can be as the auxiliary standard for classification. However, the classification based on the claims part proposed by some scholars has not achieved good performance in our research. Besides, the BoW and TFIDF methods can be used together to extract efficiently the features words in our research. In addition, we found that the SVM and XGBoost techniques have better performance in the automatic patent classification system in our research.