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Helliyatul Matlubah – International Education Journal: Comparative Perspectives, 2023
This study explores the instructional practices implemented by two Muslim homeschooling mothers living in Australia. These mothers have homeschooled their primary-aged children for at least one year. The research aims to understand Muslim homeschooling parents' pedagogical practices to apply learner-centred teaching (LCT) to cater for students'…
Descriptors: Foreign Countries, Muslims, Home Schooling, Mothers
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Grundgeiger, Tobias; Ertle, Franz; Diethei, Daniel; Mengelkamp, Christoph; Held, Volker – Advances in Health Sciences Education, 2023
In the context of medical device training, e-Learning can address problems like unstandardized content and different learning paces. However, staff and students value hands-on activities during medical device training. In a blended learning approach, we examined whether using a syringe pump while conducting an e-Learning program improves the…
Descriptors: Equipment, Medicine, Training, Electronic Learning
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Hills, Melissa – Biochemistry and Molecular Biology Education, 2023
Team-Based Learning (TBL) can be easily applied to different learning outcomes in various courses. This approach builds community and provides peer support for students in both in-person and online learning environments. When used for formative assessment, it can promote student learning while reducing the quantity of grading for instructors. Five…
Descriptors: Cooperative Learning, COVID-19, Pandemics, Curriculum Development
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Razali, Murni Zarina Mohamed; Jamil, Rossilah – SAGE Open, 2023
Employee learning plays a vital role in corporate sustainability strategy. Past attempts to map sustainability learning (SL) in organizations have fallen short in explaining the interactions between key learning approaches and the dynamics within the learning environment. This paper is based on a study conducted to explore how employees learned…
Descriptors: Sustainability, Employees, Context Effect, Organizational Climate
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Mao, Shun; Zhan, Jieyu; Wang, Yizhao; Jiang, Yuncheng – IEEE Transactions on Learning Technologies, 2023
For offering adaptive learning to learners in intelligent tutoring systems, one of the fundamental tasks is knowledge tracing (KT), which aims to assess learners' learning states and make prediction for future performance. However, there are two crucial issues in deep learning-based KT models. First, the knowledge concepts are used to predict…
Descriptors: Intelligent Tutoring Systems, Learning Processes, Prediction, Prior Learning
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Hayward, David; Smith, Heidi A.; Moltow, David – Journal of Outdoor and Environmental Education, 2023
Emotion plays a significant role in the human experience. Nevertheless, emotion (as an attribute of the affective domain), is often side-lined in formal learning environments (including Higher Education) in favour of a focus on the cognitive. This paper shares findings of a research project involving pre-service outdoor education teachers as they…
Descriptors: Preservice Teachers, Psychological Patterns, Affective Behavior, Emotional Response
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Hsu, Ting-Chia; Chen, Wen-Li; Hwang, Gwo-Jen – Interactive Learning Environments, 2023
In this study, a peer assessment-based mobile learning approach was implemented and evaluated in a vocational design certification course. A quasi-experiment was conducted to explore the impact of the proposed approach on the learning achievements and motivations of the students with active and reflective styles. It was found that the students…
Descriptors: Peer Evaluation, Cognitive Style, Electronic Learning, Academic Achievement
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Melro, Ana; Tarling, Georgie; Fujita, Taro; Kleine Staarman, Judith – Journal of Educational Computing Research, 2023
Underpinning the teaching of coding with Computational Thinking has proved relevant for diverse learners, particularly given the increasing demand in upskilling for today's labour market. While literature on computing education is vast, it remains unexplored how existing CT conceptualisations relate to the learning opportunities needed for a…
Descriptors: Coding, Computation, Thinking Skills, Learning Processes
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Yildiz Durak, Hatice; Atman Uslu, Nilüfer – Educational Technology Research and Development, 2023
The main purpose of Computer-Supported Collaborative Learning (CSCL) is to improve academic performance through collaborative systems design. To increase the quantity and quality of interactions in CSCL and to reduce feelings of loneliness and burnout during online learning, learner group regulation should be supported. According to the…
Descriptors: Learning Strategies, Group Dynamics, Cooperative Learning, Computer Assisted Instruction
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Hadyaoui, Asma; Cheniti-Belcadhi, Lilia – Smart Learning Environments, 2023
This article introduces an ontology-based framework for group assessment analytics that investigates the impact of intra-group interactions on group performance within the context of project-based collaborative learning (PBCL). Additionally, it aims to predict learners' performance based on these interactions. The study involved 312 first-degree…
Descriptors: Learning Analytics, Academic Achievement, Prediction, Student Projects
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Ariel, Nana; Millikovsky-Ayalon, Maaian; Kimchi-Feldhorn, Omri – Education and Information Technologies, 2023
Digital learning, and MOOCs specifically, increasingly benefit from learning-science-based design. In this study we present the redesign process that produces a new academic version (in Hebrew and Arabic) of the successful MOOC "Learning How to Learn." During the design-based research we examined practices that implement evidence-based…
Descriptors: Electronic Learning, MOOCs, Evidence Based Practice, Learning Processes
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Zheng, Lanqin; Zhong, Lu; Fan, Yunchao – Education and Information Technologies, 2023
Online collaborative learning (OCL) has been a mainstream pedagogy in the field of higher education. However, learners often produce off-topic information and engage less during online collaborative learning compared to other approaches. In addition, learners often cannot converge in knowledge, and they often do not know how to coregulate with…
Descriptors: Electronic Learning, Cooperative Learning, Undergraduate Students, Learning Analytics
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An, Shan – Studies in Applied Linguistics & TESOL, 2023
Adopting Complex Dynamic Systems Theory (CDST) in Second Language Acquisition (SLA) is a testament to the revolutionary and evolutionary advancement in theory and empirical practice in the field. CDST is revolutionary for the fact that it warrants systems thinking of SLA phenomena that breaks the chain of dichotomous conceptualization on vital…
Descriptors: Learning Theories, Second Language Learning, Second Language Instruction, Systems Approach
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Gunnlaugson, Olen; Cueto de Souza, Renata; Zhao, Steven; Yee, Allen; Scott, Charles; Bai, Heesoon – Journal of Transformative Education, 2023
We are interested in the transformative potentials of intersubjectivity as it is enacted through second-person contemplative approaches. Our work here focuses on contemplative practice as a pedagogy that reveals and enacts intersubjectivity within postsecondary education. How might contemplative higher education practice as a pedagogy enable…
Descriptors: Transformative Learning, Teaching Methods, Graduate Students, Inquiry
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Acton, Renae – Higher Education: The International Journal of Higher Education Research, 2023
International education scholars often theorise alternative models of knowledge work in the university. These imagine the transformation of teaching and learning and a more inclusive society. This article presents the case of a university in Denmark, where problem-oriented, interdisciplinary, collaborative project work has been the pedagogic norm…
Descriptors: Problem Based Learning, Student Projects, College Students, Foreign Countries
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