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Showing 1 to 15 of 68 results Save | Export
Yingbo Ma – ProQuest LLC, 2023
Collaborative learning provides learners with significant opportunities to collaborate on solving problems and creating better products. There has been a growing utilization of adaptive and intelligent systems to support productive learning while promoting collaborative practices. One of the core capabilities of these adaptive and intelligent…
Descriptors: Cooperative Learning, Models, Interaction, Behavior
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Osipenko, Maria – Education and Information Technologies, 2022
A data-driven model where individual learning behavior is a linear combination of certain stylized learning patterns scaled by learners' affinities is proposed. The absorption of stylized behavior through the affinities constitutes "building blocks" in the model. Non-negative matrix factorization is employed to extract common learning…
Descriptors: Behavior Patterns, Models, Undergraduate Students, Preferences
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Lachner, Andreas; Hoogerheide, Vincent; van Gog, Tamara; Renkl, Alexander – Educational Psychology Review, 2022
Teaching the contents of study materials by providing explanations to fellow students can be a beneficial instructional activity. A learning-by-teaching effect can also occur when students provide explanations to a real, remote, or even fictitious audience that cannot be interacted with. It is unclear, however, which underlying mechanisms drive…
Descriptors: Instruction, Instructional Effectiveness, Models, Educational Practices
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Xia, Xiaona – SAGE Open, 2022
Mining problems and exploring rules are the key problems in the learning process, and also the difficulties in education big data. Therefore, taking learning behavior as the research objective, this study demonstrates the collaborative training method of multi view learning interaction process driven by big data, so as to realize the tendency…
Descriptors: Learning Analytics, Learning Processes, Cooperative Learning, Training Methods
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Xia, Xiaona; Qi, Wanxue – Education and Information Technologies, 2023
Interactive learning is a two-way learning method of learners independently by using computer and network technology. In the interactive relationships, interactive learning plays a role for learners to achieve the learning purpose, interactive learning has become an important effect of online learning, but it also has many problems that need to be…
Descriptors: Foreign Countries, Identification, Interaction, Learning Processes
Laewoo Leo Kang – ProQuest LLC, 2022
My dissertation elucidates how art practice can be a useful and helpful model for learning, teaching, and conducting research for HCI and the broader STEM fields. It focuses on "improvisation", a fundamental strategy and skill often used in the broader genres of arts, including cool jazz and the avant-garde. To achieve this goal, this…
Descriptors: Man Machine Systems, Interaction, Models, Creative Activities
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Hong, Seungkyun; Jo, Yein; Kang, Youna; Lee, Hyun-Kyung – Journal of Museum Education, 2023
As museums evolve and shift toward interactive exhibitions by utilizing cutting-edge technologies, there has been a gap in research that distinguishes interactive exhibit experiences from static exhibit experiences. Therefore, using the grounded theory method [Corbin, Juliet, and Anselm Strauss. "Basics of Qualitative Research: Techniques and…
Descriptors: Museums, Teaching Methods, Exhibits, Information Technology
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Sonderegger, Stefan – International Association for Development of the Information Society, 2022
The use of social robots in education is a growing area of research and the potential future applications are various. However, the conversational models behind current social robots and chatbot systems often rely on rule-based and retrieval-based methods. This limits the social robot to predefined responses and topics, thus hindering it from…
Descriptors: Robotics, Teaching Methods, Learning Processes, Models
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Zhou, Yuhao; Li, Xihua; Cao, Yunbo; Zhao, Xuemin; Ye, Qing; Lv, Jiancheng – International Educational Data Mining Society, 2021
In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…
Descriptors: Online Courses, Computer Assisted Instruction, Networks, Learning Analytics
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Morland, Kate V.; Breslin, Dermot; Stevenson, Fionn – Learning Organization, 2019
Purpose: This paper aims to examine multiple learning cycles across a UK housebuilder organization following changes made to their quality management routine at the organizational level, through to subsequent understanding and enactment at the level of the individuals involved. Design/methodology/approach: This study uses a qualitative case study…
Descriptors: Foreign Countries, Models, Learning, Feedback (Response)
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Wang, Xueyu; Wang, Jian – Interactive Learning Environments, 2023
The newborn MTI (Master of Translation and Interpreting) program in China is a new platform that induces abundant opportunities for translator training, meanwhile poses methodological and professional challenges. Thus, an interactive teaching and learning model is proposed. This study is devoted to finding out whether the interactive model…
Descriptors: Masters Programs, Translation, Teaching Methods, Language Tests
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Charlotte N. Gunawardena; Yan Chen; Nick Flor; Damien Sánchez – Online Learning, 2023
Gunawardena et al.'s (1997) Interaction Analysis Model (IAM) is one of the most frequently employed frameworks to guide the qualitative analysis of social construction of knowledge online. However, qualitative analysis is time consuming, and precludes immediate feedback to revise online courses while being delivered. To expedite analysis with a…
Descriptors: Models, Learning Processes, Knowledge Level, Online Courses
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Wang, Zhijun; Anderson, Terry; Chen, Li; Barbera, Elena – British Journal of Educational Technology, 2017
Connectivist learning is interaction-centered learning. A framework describing interaction and cognitive engagement in connectivist learning was constructed using logical reasoning techniques. The framework and analysis was designed to help researchers and learning designers understand and adapt the characteristics and principles of interaction in…
Descriptors: Online Courses, Learning Processes, Interaction, Social Media
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Dwyer, Christopher P.; Hogan, Michael J.; Harney, Owen M.; Kavanagh, Caroline – Educational Technology Research and Development, 2017
Critical thinking (CT) is a metacognitive process, consisting of a number of sub-skills and dispositions that, when used appropriately, increases the chances of producing a logical conclusion to an argument or solution to a problem. Though the CT literature argues that dispositions are as important to CT as is the ability to perform CT skills, the…
Descriptors: Critical Thinking, Metacognition, Interaction, Personality Traits
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Broström, Stig – International Journal of Early Years Education, 2017
In early childhood education and care, Nordic social pedagogy approach is challenged by a learning orientation that often results in unproductive "either/or" thinking. Therefore, based on the two approaches and by analysing several dimensions of Froebel's ideas and prevailing social-historical activity (play) theory, the author deduces…
Descriptors: Active Learning, Student Participation, Learning Activities, Creative Activities
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