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Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Makris, Dimitrios. "Learning an activity-based semantic scene model." Thesis, City University London, 2004. http://eprints.kingston.ac.uk/7781/.

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Georgette, Jeffrey Phillip. "Active Learning using Model-Eliciting Activities and Inquiry-Based Learning Activities in Dynamics." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/1117.

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This thesis focuses on a year-long project of implementing active learning in undergraduate dynamics courses at Cal Poly San Luis Obispo from 2012-2013. The purpose is to increase conceptual understanding of critical dynamics concepts and to repair misconceptions of the students. Conceptual understanding in Dynamics is vital to understanding the big picture, building upon previous knowledge, and better understanding the behavior of engineering systems. Through various hands-on activities, students make predictions, test their conceptions, and solve real world problems. These active learning me

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ALI, HASHIM. "Subject-dependent physical activity recognition using single sensor accelerometer." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2015. http://hdl.handle.net/10281/75865.

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Rapid advancement in the field of Artificial Intelligence, to be more specific in Machine Learning and Nanotechnology, strengthens hopes to better understand human mind. Ubiquitous Computing helped in the creation of intelligent environments pervaded by these visible and invisible devices, which are affecting and improving all aspects of human life. So, as a consequence, smart environments work on the behalf of humans for ease of comfort. The ultimate goal is to monitor humans without any awareness by them of computer interaction. The understanding of how humans will interact and make use of s

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Sim, Patrick Puay-I. "A Sociocultural Investigation of Learning and Transition in SFEC." Thesis, Linköping University, Department of Behavioural Sciences and Learning, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-14905.

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<p><sup>With the advent of globalisation driving the People.s Republic of China to embrace its future, </sup><sup>the local government has shown great enthusiasm promulgating one of the oldest industries. </sup><sup>Foreign higher educational providers that operate in China through the mode of joint venture </sup><sup>cooperatives between a Chinese and foreign institution of higher learning are becoming </sup><sup>increasingly .knowledgeable-hungry. public or private universities and colleges. Such </sup><sup>operations commonly known as Sino-foreign educational cooperatives </sup></p><p><sup>

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Gilja, Vikash. "Learning and applying model-based visual context." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/33139.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.<br>Includes bibliographical references (p. 53).<br>I believe that context's ability to reduce the ambiguity of an input signal makes it a vital constraint for understanding the real world. I specifically examine the role of context in vision and how a model-based approach can aid visual search and recognition. Through the implementation of a system capable of learning visual context models from an image database, I demonstrate the utility of the model-based approach. The system

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Bharti, Pratool. "Context-based Human Activity Recognition Using Multimodal Wearable Sensors." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/7000.

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In the past decade, Human Activity Recognition (HAR) has been an important part of the regular day to day life of many people. Activity recognition has wide applications in the field of health care, remote monitoring of elders, sports, biometric authentication, e-commerce and more. Each HAR application needs a unique approach to provide solutions driven by the context of the problem. In this dissertation, we are primarily discussing two application of HAR in different contexts. First, we design a novel approach for in-home, fine-grained activity rec

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Peker, Serhat. "A Novel User Activity Prediction Model For Context Aware Computing Systems." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613662/index.pdf.

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In the last decade, with the extensive use of mobile electronic and wireless communication devices, there is a growing need for context aware applications and many pervasive computing applications have become integral parts of our daily lives. Context aware recommender systems are one of the popular ones in this area. Such systems surround the users and integrate with the environment<br>hence, they are aware of the users&#039<br>context and use that information to deliver personalized recommendations about everyday tasks. In this manner, predicting user&rsquo<br>s next activity preferences wit

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Gönner, Lorenz, Julien Vitay, and Fred Hamker. "Predictive Place-Cell Sequences for Goal-Finding Emerge from Goal Memory and the Cognitive Map: A Computational Model." Universitätsbibliothek Chemnitz, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-230378.

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Hippocampal place-cell sequences observed during awake immobility often represent previous experience, suggesting a role in memory processes. However, recent reports of goals being overrepresented in sequential activity suggest a role in short-term planning, although a detailed understanding of the origins of hippocampal sequential activity and of its functional role is still lacking. In particular, it is unknown which mechanism could support efficient planning by generating place-cell sequences biased toward known goal locations, in an adaptive and constructive fashion. To address these quest

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Artchounin, Daniel. "Tuning of machine learning algorithms for automatic bug assignment." Thesis, Linköpings universitet, Programvara och system, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139230.

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In software development projects, bug triage consists mainly of assigning bug reports to software developers or teams (depending on the project). The partial or total automation of this task would have a positive economic impact on many software projects. This thesis introduces a systematic four-step method to find some of the best configurations of several machine learning algorithms intending to solve the automatic bug assignment problem. These four steps are respectively used to select a combination of pre-processing techniques, a bug report representation, a potential feature selection tec

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Nuttall, Christopher. "A Self-Regulated Learning Inventory Based on a Six-Dimensional Model of SRL." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6581.

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This report discusses a study undertaken to develop, pilot, and tentatively validate a self- regulated learning (SRL) inventory for L2 contexts. This inventory was specifically designed to measure learners' ability to self-regulate their learning. Although there have been a few SRL inventories developed to measure this ability, they do not conform to the six-dimensional SRL model proposed by educational psychologists and backed by extensive research. This warranted the development of a new SRL inventory. The primary focus of this study was that of taking initial steps to develop such an invent

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Cigdemoglu, Ceyhan. "Effectiveness Of Context-based Approach Through 5e Learning Cycle Model On Students&#039." Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614466/index.pdf.

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The aim of study was to investigate the effect of context-based approach (CBA) through 5E learning cycle (LC) model over traditional instruction on students&rsquo<br>understanding, achievement, and chemical literacy on chemical reactions and energy concepts. The effect of instruction on students&rsquo<br>motivation to learn chemistry and the factors of motivation questionnaire were also explored. Additionally, the effect of gender difference was investigated. Six eleventh grade classes with 187 students taught by three teachers from two public Anatolian high schools of Ankara in 2011-2012 fall

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Gardini, Erika. "Human Activity Recognition in the context of Health Smart Home by using Machine Learning Classification Models." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/16228/.

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Dal 2050, la percentuale di persone con età superiore a 65 anni sarà più del triplo. Di conseguenza, le persone affette da patologie legate all’età aumenteranno. Il tema di ricerca di questa tesi riguarda il riconoscimento di attività svolte dalle persone anziane nella propria abitazione (Human Activity Recognition – HAR) al fine di diagnosticare possibili patologie il prima possibile e di identificare situazioni anomale. Due datasets esistenti e liberamente accessibili sono stati utilizzati a tal scopo. In particolare, questi dataset contengono informazioni riguardanti le attività eseguite d

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Suutala, J. (Jaakko). "Learning discriminative models from structured multi-sensor data for human context recognition." Doctoral thesis, Oulun yliopisto, 2012. http://urn.fi/urn:isbn:9789514298493.

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Abstract In this work, statistical machine learning and pattern recognition methods were developed and applied to sensor-based human context recognition. More precisely, we concentrated on an effective discriminative learning framework, where input-output mapping is learned directly from a labeled dataset. Non-parametric discriminative classification and regression models based on kernel methods were applied. They include support vector machines (SVM) and Gaussian processes (GP), which play a central role in modern statistical machine learning. Based on these established models, we propose var

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Kotevska, Olivera. "Learning based event model for knowledge extraction and prediction system in the context of Smart City." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAM005/document.

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Des milliards de «choses» connectées à l’internet constituent les réseaux symbiotiques de périphériques de communication (par exemple, les téléphones, les tablettes, les ordinateurs portables), les appareils intelligents, les objets (par exemple, la maison intelligente, le réfrigérateur, etc.) et des réseaux de personnes comme les réseaux sociaux. La notion de réseaux traditionnels se développe et, à l'avenir, elle ira au-delà, y compris plus d'entités et d'informations. Ces réseaux et ces dispositifs détectent, surveillent et génèrent constamment une grande uantité de données sur tous les asp

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Zhang, Bingxue. "Design and implementation of WoBaLearn - a work-based context-aware mobile learning system." Thesis, Ecully, Ecole centrale de Lyon, 2014. http://www.theses.fr/2014ECDL0032/document.

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Un intérêt accru a été élevé sur les systèmes d'apprentissage mobiles contextualisé. Ces systèmes visent à fournir les supports d'apprentissage via des appareils mobiles et de les adapter aux besoins spécifiques de l'éducation, les caractéristiques personnelles et les circonstances particulières d'un apprenant ou un groupe d'apprenants interconnectés. L'apprentissage en milieu de travail est une approche essentielle pour promouvoir l'efficacité de travail et d'apprentissage des professionnels. Il est besoin ciblé, personnalisé, juste-à-temps et basé sur la localisation. Ces caractéristiques pr

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Sun, Feng-Tso. "Nonparametric Discovery of Human Behavior Patterns from Multimodal Data." Research Showcase @ CMU, 2014. http://repository.cmu.edu/dissertations/359.

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Recent advances in sensor technologies and the growing interest in context- aware applications, such as targeted advertising and location-based services, have led to a demand for understanding human behavior patterns from sensor data. People engage in routine behaviors. Automatic routine discovery goes beyond low-level activity recognition such as sitting or standing and analyzes human behaviors at a higher level (e.g., commuting to work). The goal of the research presented in this thesis is to automatically discover high-level semantic human routines from low-level sensor streams. One recent

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Cappella, Matteo. "Studio e valutazione di tecniche di training per il riconoscimento automatico di attività attraverso dispositivi mobili." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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L'utilizzo degli smartphone è cresciuto rapidamente nel corso dell'ultimo decennio. Questi dispositivi oltre ad avere ottime capacità comunicative, di memoria e di calcolo, sono equipaggiati con numerosi sensori. Quest'ultimi permettono ai ricercatori di raccogliere numerose informazioni riguardanti le persone e il contesto che le circonda. Un aspetto molto importante che è possibile analizzare tramite la raccolta delle informazioni provenienti dai sensori è sicuramente quello del riconoscimento delle modalità di trasporto (Transportation Mode Detection), che consiste, appunto, nell'individuar

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18

Baturay, Meltem Huri. "Effects Of Web-based Multimedia Annotated Vocabulary Learning In Context Model On Foreign Language Vocabulary Retention Of Intermediate Level English Langauge Learners." Phd thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/3/12608905/index.pdf.

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The aim of this study was to investigate the effects web-based multimedia annotated vocabulary learning in context model and in spaced repetitions on vocabulary retention of intermediate level English language learners. The research study encompassed two main faces which was related to development of the material and implementation of it. In WEBVOCLE, which stands for web-based vocabulary learning material, the contextual presentation of vocabulary were enriched with audible online dictionary, pictures and animations<br>target words were repeated by the learners with interactive exercises, suc

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Roitberg, Alina [Verfasser], and R. [Akademischer Betreuer] Stiefelhagen. "Uncertainty-aware Models for Deep Learning-based Human Activity Recognition and Applications in Intelligent Vehicles / Alina Roitberg ; Betreuer: R. Stiefelhagen." Karlsruhe : KIT-Bibliothek, 2021. http://nbn-resolving.de/urn:nbn:de:101:1-2021092904591022267143.

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Cheng, Heng-Tze. "Learning and Recognizing The Hierarchical and Sequential Structure of Human Activities." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/293.

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The mission of the research presented in this thesis is to give computers the power to sense and react to human activities. Without the ability to sense the surroundings and understand what humans are doing, computers will not be able to provide active, timely, appropriate, and considerate services to the humans. To accomplish this mission, the work stands on the shoulders of two giants: Machine learning and ubiquitous computing. Because of the ubiquity of sensor-enabled mobile and wearable devices, there has been an emerging opportunity to sense, learn, and infer human activities from the sen

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Mvula-Jamela, Lungiswa Gwen. "Development of a school environmental policy to enable active learning in the context of the National Curriculum Statement." Thesis, Rhodes University, 2007. http://hdl.handle.net/10962/d1008376.

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The transformation processes occurring in the South African curriculum context has highlighted a need for improving ways of interpreting and implementing curriculum requirements, in ways that are relevant to the context of learners and their experiences. Outcomes Based Education (OBE) encourages teachers to develop learner centred and active learning approaches. In this research I explore the development of how a School Environmental Policy can contribute to active learning in the context of the National Curriculum Statement for Grades R-9 (NCS R-9). I employed a participatory action research

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Hobart, Leigh. "The current context of Queensland primary teacher engagement with professional learning through professional associations." Thesis, Queensland University of Technology, 2009. https://eprints.qut.edu.au/46122/1/Leigh_Hobart_Thesis.pdf.

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Engaging Queensland primary teachers in professional associations can be a challenge, particularly for subject-specific associations. Professional associations are recognised providers of professional learning. By not being involved in professional associations primary teachers are missing potential quality professional learning opportunities that can impact the results of their students. The purpose of the research is twofold: Firstly, to provide a thorough understanding of the current context in order to assist professional associations who wish to change from their current level of primary

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Lin, Yi-Chen, and 林奕辰. "Intelligent Model Construction of Human Activity Recognition Based on Machine Learning and Association Rule." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/38941165551476338380.

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碩士<br>國立中興大學<br>資訊管理學系所<br>104<br>Human Activity Recognition has been a very important issue since image recognition to automatic identification, with the IOT and Cloud computing services accompany with technology miniaturization, wearable devices has a rapid importance growth in activity recognition. According to IDC statistics, wearable devices will have an annual growth of twenty three percent in the last five years. With such a wide degree of usage, the way using these wearable devices to assist human in their task more efficiently and convenient is the most important goal of Human Activit

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Chun-YenHuang and 黃鈞彥. "Developing an Activity System-based Process Model in Augmented Reality-based Blended Learning for Natural Science Course in Elementary School." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/x9eg85.

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Chen, Yu-Han, and 陳郁涵. "The Effects of STEM-based Hands-on Learning Activity with 6E Learning by DesignTM Model in Developing Junior High School Students’ Attitudes toward Technology and Technological Capability." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/82443981747815194897.

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碩士<br>國立臺灣師範大學<br>科技應用與人力資源發展學系<br>104<br>This research aimed to discuss the effects of STEM-based hands-on activity with 6E Learning by DesignTM Model in developing junior high school students’ attitudes toward technology, ability of technology inquiry and ability of theory-based design; under the conduct of nonequivalent quasi-experimental research, and 212 junior high subjects participated the assigned groups over ten courses of ten weeks. Respectively, applied the 6E Learning by DesignTM Model and Problem Solving methods to the assigned groups by means of “technology attitude scale,” “tech

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Lu, Chien-Heng (Chris). "Story decorated context-awareness role playing learning activity generation." 2012. http://hdl.handle.net/10791/13.

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In this research, a context-aware mobile role playing game is developed to provide users with a series of story decorated quests and allows them to interact with specific real and virtual objects in the real world. The game is designed based on multi-agent architecture, which allows reusable and modular agents and makes the game much more flexible and scalable. The usefulness of the CAM-RPG is evaluated with a comprehensive experiment. The interesting findings are: (1) generated story in CAM-RPG positively influences users' attitude toward game use and increases users' perceived game usefulnes

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Lu, Ying-Kai, and 盧英楷. "SVM-Based learning models for activity recognition in smart home." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/3w6572.

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碩士<br>義守大學<br>電子工程學系<br>107<br>Due to the aging society and the long-term work of the younger generation, the elders have great opportunities to stay alone at home for a long time. Once an accident occurs, it often leads to regrets when the elders living alone. With the popularity of smart homes, we can also use this to strengthen the application of smart homes. Therefore, this paper would establish a activity recognition program designed for the elderly living alone. This paper will collect user data living in smart homes, such as infrared sensor, temperature sensor, etc. The user will first

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Al, Huthali Mohammed. "Meaning-Making in an Engineering Problem-Based Learning Classroom: an Analysis of Activity and Multimodality." Thesis, 2014. https://vuir.vu.edu.au/25849/.

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Problem-based learning (PBL) is a pedagogic approach now widely used across higher education. Its goal is to encourage student-centred learning supported by the provision of information and the active support of a facilitator. PBL can be seen as a process of meaning making, and, in this research, this meaning making occurs in the context of an academic subject in the first year of an engineering degree and a particular PBL module within that degree. The overarching goal of the research is to contribute to a greater and deeper understanding of the process of students’ meaning making in the cou

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Chih-HsiangHu and 胡智翔. "Phenomenological Research on AR-Guided Context-Aware Ubiquitous Learning (CAUL): An AR-Guided CAUL Design Model Based on Focused Learning Theories and Sources of CAUL Effectiveness." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/m4b8z4.

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碩士<br>國立成功大學<br>外國語文學系<br>107<br>Context-aware ubiquitous learning (CAUL) is the latest e-learning paradigm that utilizes a synergy of mobile, wireless communication, and sensor technologies to facilitate the learning with contextual and interpersonal information. In recent years, augmented reality (AR) has been widely-incorporated in CAUL designs to enrich and guide learners’ contextual and interpersonal interactions with its powerful capacity to overlay virtual information on physical environments. Therefore, the adoption of the new technology, AR, is bound to propel an evolution of CAUL des

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Zhang, shao-chen, and 張韶宸. "Development and application of a repertory grid-based peer assessment approach in a context-aware u-learning activity in natural science field – The case for learning of butterfly ecology garden in elementary schools." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/50379835595305725290.

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碩士<br>東吳大學<br>資訊管理學系<br>100<br>Recent developments in mobiles and wireless communication technologies have enabled the mobile and ubiquitous learning approach; which provides the students a learning environment that combines the real-world and digital-world learning resources. Although such an approach seems to be innovative and interesting, several problems have been revealed when applying it to practical learning activities. One of the major problems is that the researchers need to develop learning guidance mechanisms or tools for assisting students to learn in such a complex learning scenar

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Botha, Petro. "A life coaching programme for the support of social work students within an open and distance learning context." Thesis, 2014. http://hdl.handle.net/10500/13675.

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Compared to other South African universities, the Department of Social Work at the UNISA has the highest intake of social work students but also the lowest throughput. Through post-graduate research, the Department of Social Work became aware of the often impeding influence of the personal, social and learning contexts of social work students on their performance, and identified a need for social work-specific student support. The following central research question was formulated: What would a life coaching programme to support social work students within an ODL context comprise of? To explo

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