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Dissertations / Theses on the topic 'Using Different Aspects in Learning'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Danker, Anton, and Wiklund Jacob Wirgård. "Using Transfer Learning to classify different stages of Alzheimer’s disease." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301784.

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The identification of Alzheimer’s disease through the application of various machine learning techniques on neuroimaging data of the likes of MRI is an area of study which has seen intense levels of research in recent years. While many machine learning techniques have existed for a long time, recent advances in Deep Learning and Computer Vision have allowed for better performing predictive models. In this report we present a Convolutional Neural Network & Transfer Learning based approach to classify various stages of Alzheimer’s disease with a high degree of accuracy. Furthermore we invest

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Saleh, Shahin. "Deep Active Learning for Image Classification using Different Sampling Strategies." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300056.

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Convolutional Neural Networks (CNNs) have been proved to deliver great results in the area of computer vision, however, one fundamental bottleneck with CNNs is the fact that it is heavily dependant on the ground truth, that is, labeled training data. A labeled dataset is a group of samples that have been tagged with one or more labels. In this degree project, we mitigate the data greedy behavior of CNNs by applying deep active learning with various kinds of sampling strategies. The main focus will be on the sampling strategies random sampling, least confidence sampling, margin sampling, entrop

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Roselli, Néstor. "Collaborative construction using chat in different tasks." Pontificia Universidad Católica del Perú, 2012. http://repositorio.pucp.edu.pe/index/handle/123456789/101459.

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The objective of this research was to characterize the chat collaborative interaction of two partners in six kinds of cognitive tasks. The central hypothesis was that the task nature determines a particular kind of collaborative interaction. The six tasks tested were: to solve a logical problem, to compose a story, to read a data table, to rank opinions, to bring a scientific explanation of a domestic situation, to interpret the signification of a literature text. The 11 dyads of the sample were formed by university students. Results show significant differences between the tasks concerning th

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White, Sherry A. (Sherry Anne). "Comparison of Remediation Methods in Different Hydrogeologic Settings Using Bioplume II." Thesis, University of North Texas, 1996. https://digital.library.unt.edu/ark:/67531/metadc278039/.

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A contaminant fate and transport computer model, Bioplume II, which allows simulation of bioremediation in ground water systems, was used to compare the effects of 11 remediation scenarios on a benzene plume. The plume was created in three different hydrogeologic settings from the simulation of an underground gasoline storage tank leak.

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Gutschmidt, Andrea. "Evaluation of anti-tuberculosis responses in humans using different complementary immunological techniques." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/79835.

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Thesis (MSc MedSc)--Stellenbosch University, 2013.<br>ENGLISH ABSTRACT: Background The QuantiFERON In-Tube (QFT IT) assay is an Interferon-gamma release assay (IGRA) which is currently used to detect Mycobacterium tuberculosis (M. tb) infection. It however cannot differentiate between latent infection and active tuberculosis (TB) disease. In an attempt to improve this tool to accurately diagnose active TB, the release of a variety of markers should be assessed in combination with Interferon gamma (IFN- γ). Luminex analysis was previously done on QFT plasma and promising candidates were

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Stouffer, Eric M. "The neurobiology of latent learning in the rat using salt appetite and its dissociation from conditioning /." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=102731.

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The brain areas required for latent learning in the rat are not currently understood. Previous tasks used to assess latent learning, defined as the acquisition of neutral information that does not immediately influence behavior, have shared characteristics that prevented their use to determine the neurobiology of latent learning. This thesis describes a new task called the Latent Cue Preference (LCP) task, derived from the Conditioned Cue Preference (CCP) task that has been successfully used to determine the brain areas required for conditioning in the rat and other animals. In the LCP task, w

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Lagula, Daniel, and Filip Karlsson. "Comparison of Two Different Methods of Generating Physics-Based Character Animation using Reinforcement Learning." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20227.

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In the area of Physics-Based Animation using Reinforcement Learning (RL), multiple games and virtual simulations have had it as an objective throughout the years because of the added realism it brings to motions of characters. It also brings a realistic and practical interaction between the characters and their environment. By using a physically simulated ragdoll and Reinforcement Learning, the ragdoll can learn how to walk and balance. This has the potential of bringing realistic and interactive real-time animations, of normally rigid animations, to life. No longer do animators have to animat

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Fonseca, Eduardo. "Training sound event classifiers using different types of supervision." Doctoral thesis, Universitat Pompeu Fabra, 2021. http://hdl.handle.net/10803/673067.

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The automatic recognition of sound events has gained attention in the past few years, motivated by emerging applications in fields such as healthcare, smart homes, or urban planning. When the work for this thesis started, research on sound event classification was mainly focused on supervised learning using small datasets, often carefully annotated with vocabularies limited to specific domains (e.g., urban or domestic). However, such small datasets do not support training classifiers able to recognize hundreds of sound events occurring in our everyday environment, such as kettle whistles

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Cheltuitor, Alexandru, and Niklas Jones-Quartey. "Predicting Multimodal Rehabilitation Outcomes using Machine Learning." Thesis, Uppsala universitet, Institutionen för informatik och media, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-413568.

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Chronic pain is a complex health issue and a major cause of disability worldwide. Although multimodal rehabilitation (MMR) has been recognized as an effective form of treatment for chronic pain, some patients do not benefit from it. If treatment outcomes could be reliably predicted, then patients who would benefit more from MMR could be prioritized over others. Machine learning has been proven capable of accurately predicting outcomes in other healthcare related domains. Therefore, this study aims to investigate the use of it to predict outcomes of MMR, using data from the Swedish Quality Regi

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Williams, Kevin. "Using experiential learning to facilitate pharmacy students' understanding of patients' medication practice in chronic illness." Thesis, Rhodes University, 2006. http://hdl.handle.net/10962/d1003955.

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This study originates from experiences which led me to question the way pharmacists are equipped to advise and support the medicine-taking practice of patients using chronic medication. The study offers a critical theoretical consideration of underlying perspectives informing pharmacy education. I propose following a critical realist ontological perspective, a social realist understanding of social structure and human agency, and a sociocultural epistemology. Based on these perspectives, I consider a sociological critique of ‘health’, ‘disease’, ‘illness’ and ‘sickness’ perspectives on medicin

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Kothawade, Rohan Dilip. "Wine quality prediction model using machine learning techniques." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20009.

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The quality of a wine is important for the consumers as well as the wine industry. The traditional (expert) way of measuring wine quality is time-consuming. Nowadays, machine learning models are important tools to replace human tasks. In this case, there are several features to predict the wine quality but the entire features will not be relevant for better prediction. So, our thesis work is focusing on what wine features are important to get the promising result. For the purposeof classification model and evaluation of the relevant features, we used three algorithms namely support vector mach

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Fredlund, Tobias. "Using a Social Semiotic Perspective to Inform the Teaching and Learning of Physics." Doctoral thesis, Uppsala universitet, Fysikundervisningens didaktik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-247771.

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This thesis examines meaning-making in three different areas of undergraduate physics: the refraction of light; electric circuits; and, electric potential and electric potential energy. In order to do this, a social semiotic perspective was constituted for the thesis to facilitate the analysis of meaning-making in terms of the semiotic resources that are typically used in the teaching and learning of physics. These semiotic resources include, for example, spoken and written language, diagrams, graphs, mathematical equations, gestures, simulations, laboratory equipment and working practices. Th

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Hadjikakou, Eleni C. "Investigating aspects of using 'standard' information technology to help children with learning difficulties/specific learning difficulties in primary schools in Cyprus." Thesis, University of Reading, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286002.

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Cheng, Yuk-ching, and 鄭毓正. "Motivational aspects of using computer-assisted language learning program for learning English as a second language in a secondaryschool in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31962488.

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Hyne, Sally Patricia. "Using assessment data to support the learning of young pupils in four Kent primary schools." Thesis, University of Greenwich, 2007. http://gala.gre.ac.uk/6193/.

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This thesis discusses how assessment data are used to support the learning of pupils aged four to seven years in four Kent primary schools. The sample was 451 pupils in Reception, Year 1 and Year 2; the researcher collected and analysed quantitative data from pupil attainment on school entry – either as Baseline Assessment or the Foundation Stage Profile – and from results in reading, writing and mathematics at the end of KS1, both as SATs and Teacher Assessment. These data were triangulated with qualitative data collected from a semi-structured questionnaire, classroom observations and interv

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Kim, Backyoung. "Autonomous elementary English learning in Korea using mediated structures." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2449.

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Kung, Shuk Mei. "Discipline and female subjects : an analysis of women's experience in the learning and using of female underwear." HKBU Institutional Repository, 2000. http://repository.hkbu.edu.hk/etd_ra/230.

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Cheng, Yuk-ching. "Motivational aspects of using computer-assisted language learning program for learning English as a second language in a secondary school in Hong Kong." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk/hkuto/record.jsp?B23500724.

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McAlpine, Iain. "Factors contributing to deep and surface learning using cal programs in the context of two different tertiary course units: An interpretive study." Thesis, Queensland University of Technology, 1998. https://eprints.qut.edu.au/36579/1/36579_Digitised%20Thesis.pdf.

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This thesis investigates a proposition that students learning from computer assisted learning (CAL) programs will be constrained to surface processing of information unless generative learning strategies are incorporated into the CAL program design. The specific generative learning recommended in the proposition include summarising, outlining, analysis of key ideas, and cognitive mapping. Studies of student learning in tertiary education reveal that surface learning is not conducive to academic success, and that deep learning is more effective. As very few CAL programs use generative learning

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Kayaoglu, Mustafa Naci. "An investigation of the learning strategies of Turkish EFL and ESL adult learners and the relationship between their beliefs about different aspects of language learning and their strategy use." Thesis, University of Bristol, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388024.

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Williams, Dorothy L. "Cluster analysis of learning disabled and brain damaged children and adolescents using psycho-educational, neuropsychological and behavioral variables." Virtual Press, 1990. http://liblink.bsu.edu/uhtbin/catkey/720167.

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In the past children and adolescents with emotional problems and/or documented evidence of brain damage have often been systematically omitted from samples used for research exploring the elusive topic of learning disabilities. Previous conceptualizations of LD and attempts to define the same may have been premature in forming these exclusionary criteria. The purpose of this study was to employ psycho-educational, neuropsychological and socio-behavioral (Conners Rating Scale) variables in determining if definable subtypes exist within a diverse population of LD and overtly brain-damaged subjec

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Brandt, Carl-Simon, Jonathan Kleivard, and Andreas Turesson. "Convolutional, adversarial and random forest-based DGA detection : Comparative study for DGA detection with different machine learning algorithms." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20103.

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Malware is becoming more intelligent as static methods for blocking communication with Command and Control (C&C) server are becoming obsolete. Domain Generation Algorithms (DGAs) are a common evasion technique that generates pseudo-random domain names to communicate with C&C servers in a difficult way to detect using handcrafted methods. Trying to detect DGAs by looking at the domain name is a broad and efficient approach to detect malware-infected hosts. This gives us the possibility of detecting a wider assortment of malware compared to other techniques, even without knowledge of the

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Katardjiev, Nikola. "High-variance multivariate time series forecasting using machine learning." Thesis, Uppsala universitet, Institutionen för informatik och media, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-353827.

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There are several tools and models found in machine learning that can be used to forecast a certain time series; however, it is not always clear which model is appropriate for selection, as different models are suited for different types of data, and domain-specific transformations and considerations are usually required. This research aims to examine the issue by modeling four types of machine- and deep learning algorithms - support vector machine, random forest, feed-forward neural network, and a LSTM neural network - on a high-variance, multivariate time series to forecast trend changes one

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Herbst, Hendrina Carolina. "Comparison of micronutrient-intake of lactating mothers from the Hlabisa district in KwaZulu-Natal using two different dietary intake methods." Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/1543.

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Thesis (MNutr (Interdisciplinary Health Sciences. Human Nutrition))--Stellenbosch University, 2008.<br>INTRODUCTION: The objective of this research study was to analyze previously collected dietary intake data using multiple 24-hour dietary recalls and semiquantitative food frequency questionnaires (FFQ’s) in a group of HIV-positive and HIV-negative breastfeeding women from a rural region in KwaZulu-Natal in order to compare the intake of selective micronutrients obtained with the two instruments. Identifying the pattern of food intake and the contribution of different foods to the micro

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Jewitt, Katharine Elizabeth. "Using virtual reality to enhance informal learning in small and medium enterprises." Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/8985/.

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My original contribution to knowledge is the use of computer generated, three-dimensional (3D) virtual worlds using Second Life® as a three-way sustained engagement and a mechanism for a genuinely productive dialogue between Further Education (FE) colleges, employers, employees and apprentices. This thesis shows how the use of virtual worlds creates meaningful employer engagement where Small and Medium Enterprises (SMEs) are involved in planning and contributing to learning (Healey et al, 2014). A radical rethink is taking place about the way we should learn. That is that most learning is info

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Blaschek, Michael [Verfasser]. "Digital soil mapping at different spatial scales using machine learning algorithms and multivariate geostatistics in a Mediterranean basin / Michael Blaschek." Kiel : Universitätsbibliothek Kiel, 2015. http://d-nb.info/107826127X/34.

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He, Jeannie. "Automatic Diagnosis of Parkinson’s Disease Using Machine Learning : A Comparative Study of Different Feature Selection Algorithms, Classifiers and Sampling Methods." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301616.

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Over the past few years, several studies have been published to propose algorithms for the automated diagnosis of Parkinson’s Disease using simple exams such as drawing and voice exams. However, at the same time as all classifiers appear to have been outperformed by another classifier in at least one study, there appear to lack a study on how well different classifiers work with a certain feature selection algorithm and sampling method. More importantly, there appear to lack a study that compares the proposed feature selection algorithm and/or sampling method with a baseline that does not invo

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Redfearn, Howard Daniel. "Rainfall-runoff changes due to urbanization: a comparison of different spatial resolutions for lumped surface water hydrology models using HEC-HMS." Thesis, University of North Texas, 2005. https://digital.library.unt.edu/ark:/67531/metadc4939/.

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Hydrologic models were used to examine the effects of land cover change on the flow regime of a watershed located in North-Central Texas. Additionally, the effect of spatial resolution was examined by conducting the simulations using sub-watersheds of different sizes to account for the watershed. Using the Army Corps of Engineers, Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS), two different modeling methods were evaluated at the different sub-watershed resolutions for four rainfall events. Calibration results indicate using the smaller spatial resolutions improves the mode

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Strauss, Ilse. "Typically developing 4-year-old children with AAC systems using different language organization techniques." Diss., Pretoria : [s.n.], 2007. http://upetd.up.ac.za/thesis/available/etd-08042008-174658.

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Kuai, Wenming. "Neural networks constructed using families of dense subsets of L[subscript]2(R) functions and their capabilities in efficient and flexible training." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/29587.

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Altun, Halis. "Evaluation of neural learning in a MLP NN for an acoustic-to-articulatory mapping problem using different training pattern vector characteristics." Thesis, University of Nottingham, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263405.

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Tekin, Ibrahim. "A comparison of LightGBM and perceptron for classifying the cause of salary differences between workgroups : Comparative study for classifying the reason for salary difference with different machine learning algorithms." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20195.

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Machine learning is part of what is called AI. It is defined as the application of an algorithm to improve a result through learning. In Sweden, the law requires large companies and organizations to revise their salaries every year to ensure there is no wage disparity between men and women. This could be used as an assisting tool if machine learning is applied to the analysis process. By training two different models and test them against the same test dataset different metrics can be obtained and analyzed to see how they perform in comparison to each other. The results show a slightly improve

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Dahlin, Frida. "Multilingualism in the English classroom - Positive and challenging aspects of using students first language as a tool in foreign language education." Thesis, Örebro universitet, Institutionen för humaniora, utbildnings- och samhällsvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-75539.

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Due to an increasing number of students in the Swedish schools who has another first language than Swedish, multilingualism is now a feature all teachers must consider – and language teachers in particular. While multilingualism previously was believed to cause intellectual disabilities, more current research has showed the benefits of being proficient in several languages. Pedagogical strategies such as translanguaging, in which a students’ entire linguistic repertoire is recognized, has been developed, and studies have shown that this has increased students’ metalinguistic awareness. Despite

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Heald, Jennifer Margaret. "Using self-directed learning strategies and affective factors in educating adult English learners." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2461.

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The content of this project will serve to demonstrate that ample research connects self-directed learning to more healthy psychological dynamics in language acquisition. It will also show that self-directed learning strategies are practical and effective in teaching a second language.

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Agamy, Ibrahim. "Social networking software in higher education : investigating the influence of using different interaction levels on learners’ achievement and satisfaction." Phd thesis, Universität Potsdam, 2012. http://opus.kobv.de/ubp/volltexte/2012/6188/.

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Education in knowledge society is challenged with a lot of problems in particular the interaction between the teacher and learner in social networking software as a key factor affects the learners’ learning and satisfaction (Prammanee, 2005) where “to teach is to communicate, to communicate is to interact, to interact is to learn” (Hefzallah, 2004, p. 48). Analyzing the relation between teacher-learner interaction from a side and learning outcome and learners’ satisfaction from the other side, some basic problems regarding a new learning culture using social networking software are discussed.

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Bredthauer, Jennifer Lyn Johnston James M. "The assessment of preference for qualitatively different reinforcers in persons with developmental and learning disabilities a comparison of value using behavioral economic and standard preference assessment procedures /." Auburn, Ala, 2009. http://hdl.handle.net/10415/1809.

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Albert, Kimberly Joy. "Using music therapy and visuals to facilitate language in exceptional preschoolers." CSUSB ScholarWorks, 2007. https://scholarworks.lib.csusb.edu/etd-project/3245.

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The purpose of this project is to explore the effectiveness of combining music and visual supports as a means of facilitating communication in exceptional preschoolers. The results indicate that music and visual supports have some merit for increasing verbal responses.

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Kennedy, Carrie M. "The Role of Information in Agricultural Marketing Decisions: Using Virginia's Soft Red Winter Wheat, Grain Sorghum and Barley, and Cotton Markets to Illustrate Three Different Aspects." Thesis, Virginia Tech, 1997. http://hdl.handle.net/10919/36894.

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Participants in the agricultural marketing system include commodity producers, grain elevators, feed processors, flour millers, bakers, exporters, and retail outlets. Every firm in the marketing system is concerned with creating expectations regarding supply, demand, quality, and price in the physical market. The role of market information plays in the agricultural marketing system is considered in the three chapters of this thesis. Chapters 1 and 2 were completed with financial support from the Virginia Small Grains Board and the Virginia Agricultural Council. The futures market is used

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Ntsame, Affane Armelle Lyvane. "Impact of environmental factors on the metabolic profiles of Kefir produced using different Kefir grains and subsequent enrichment of Kefir prepared with mass cultured grains." Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/20395.

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Thesis (PhD Food Sc)--Stellenbosch University, 2012.<br>ENGLISH ABSTRACT: The fermentation of milk has been known for millennia and leads to nutritious and prolonged shelf-life dairy products. In Southern Africa, traditional fermented dairy products have the same value as local staple foods and are consumed as a part of or as a whole meal. However, the retail price and the technology make many commercialised fermented dairy products unaffordable to the majority of the population. There is thus a need for a healthy nutritious low-cost easily prepared fermented dairy product. A product that

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Renaux, Charlotte. "Study of associative learning with a sensory preconditioning task using an eye-tracking system with different conditioning variables and testing the role of verbal strategies." Thesis, Lille 3, 2019. http://www.theses.fr/2019LIL3H047.

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Ce projet de thèse visait à étudier un phénomène particulier du conditionnement d’ordre supérieur par l’utilisation du paradigme du pré-conditionnement sensoriel (PCS, Brogden, 1939). Dans une première phase, deux stimuli conditionnés (SCs) ont été associés l’un à l’autre un certain nombre de fois (Phase 1, SC2-SC1), avant que l’un (SC1) soit associé à un stimulus inconditionné (SI) provoquant ainsi une réponse conditionnée (RC) de l’organisme (Phase 2 : SC1-SI). On parle de SPC lorsque le stimulus conditionné SC2, qui n’avait jamais été associé directement au stimulus inconditionné, provoque

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Yang, Yu-lin, and 楊玉麟. "Evaluating the Learning Effectiveness for Using Different E-learning Strategies." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/c7quf4.

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碩士<br>國立中央大學<br>資訊管理學系碩士在職專班<br>94<br>This study is an experimental observation attempting to know the learning effectiveness on computer related courses for senior high school students when using different learning strategies, and it is also trying to find out the factor which is related to students’ learning performance by collecting their learning records on the e-learning system. This study can be adopted as a reference for those who intend to design their teaching programs or e-learning activities. There are three learning strategies designed in this study---conventional computer classro

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SINGH, SAMEEKSHA. "SOLAR POWER FORECASTING USING DIFFERENT MACHINE LEARNING TECHNIQUES." Thesis, 2022. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19247.

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The Sun is an ultimate source of energy for all the objects living on Earth and solar radiation estimation is utmost important as this radiation serves as a primary energy source of conversion for the photovoltaic panels and the solar thermal power plants. This solar radiation is not constant in every region but it depends on various climatological parameters like temperature, wind-speed and many more, so there is intermittency in its behavior which results in changes in the electrical energy production. The above few statements reveal the necessity of predicting solar radiation. P

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VINOD, B. "DETECTION OF DIFFERENT TYPES OF CANCER USING DEEP LEARNING." Thesis, 2022. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19209.

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We provide an application of deep learning for cancer detection. We firstly provide what is a cancer, statistics of it and if not detected and diagnosed early can lead to death and then we proposed different models like CNN and how it can helps to detect or classify a cancer wheather a diagnosing person has cancer or not from a medical image(dataset). Image processing techniques have lately been popular in a number of medical sectors for image improvement at early diagnostic and treatment stages, especially in cancer tumours like lung cancer and breast cancer, where the time factor is

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Zhang, Ziyue. "Person ReID in Different Environment Settings Using Deep Learning Methods." Thesis, 2022. http://hdl.handle.net/10453/162278.

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University of Technology Sydney. Faculty of Engineering and Information Technology.<br>Person Re-identification (Person ReID) is an essential research area in vision-based human image retrieval. It is a technology where the system can automatically identify the same person appearing in different camera views. Most existing works in this area focus on settings where the environment is either kept the same or has tiny fluctuation. However, it is well-known that no matter how small, the degree of environment changes may affect the robustness of a ReID algorithm significantly. Many real-world app

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Hui, Chen Ming, and 陳明慧. "Effects of Using the WebQuest Instructional Model on Students’ Science Learning with Different Learning Styles." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/80736184235948279238.

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碩士<br>國立彰化師範大學<br>科學教育研究所<br>97<br>The WebQuest is one of science inquiry teaching model which is suggested by science educator in the information learning era. The aim of this study was to investigate effects of a WebQuest instruction on different learning styles students’ science outcomes, which include learning achievement, inquiry abilities of science and student attitude toward the WebQuest Environment. Three cycle of action research is adopted in the study. The participants, including four classes (137 7th grade students in total) are randomly assigned into two groups. The experiment gro

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Gao, Jun. "Using Different Instructional Supports to Help Students Learn Emergent Processes." Thesis, 2020. https://doi.org/10.7916/d8-gz6x-wn77.

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Emergence is a fundamental concept in many modern scientific theories, but emergent processes are difficult for science learners to understand. This dissertation investigated the following research questions. First, which type of instructional support is more effective in learning emergent processes while using computer simulation: receiving explanations directly (condition RE), or self-explaining (condition SE) simulation behavior. Second, can students form emergent schema without being explicitly told? Third, do students’ misconceptions about emergent processes come from a lack of the emerge

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Lin, Yu-Ru, and 林郁如. "Using 4MAT Instruction Action Research to Improve Elementary Students’ with Different Learning Style Their Motivation of Learning Science in Different Learning Style Students of Elementary School." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/68124347193189458116.

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碩士<br>國立彰化師範大學<br>科學教育研究所<br>94<br>Using 4MAT Instruction to Improve Elementary Students with Different Learning Style Their Motivation toward Science Learning: An Action Research Approach. Yu-Ru Lin Abstract The purpose of this study was to use action research to implement 4MAT instruction to one 4th graders' elementary science class to improve student with different learning styles their motivation toward science learning. One class, thirty four students in grade 4 were identified their learning style (Hermann, 1991) and different motivation(Students' motivation toward science learning, SMTS

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Ku, Yang-Ming, and 古洋明. "The Design of A Learning Environment Using Different Game Factors to Improve Learning Motivation--Using Structural Content as An Example." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/59138765548522575870.

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碩士<br>國立中央大學<br>網路學習科技研究所<br>92<br>In the research of this thesis，I design and implement a game-based learning environment. Many researchers have had researched on stimulating learning motivation through games. There are also many studies on the integral motivation. However, not many people deeply investigate that excepts for using games to stimulate learning motivation, if it is possible for us to use some game factors to influence motivation of learners during the process of completing their task. In order to achieve the purpose, I implement a game-based learning system that can be added dif

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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.

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碩士<br>國立臺灣師範大學<br>工業科技教育學系<br>96<br>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-base

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Luberoff, Robin F. "Weed suppression and nitrogen availability using different green manure crops /." 1998. https://scholarworks.umass.edu/theses/3472.

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