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Showing 1 to 15 of 38 results Save | Export
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Keiichi Kobayashi – Educational Psychology Review, 2024
This study was conducted to meta-analytically investigate the influence of teaching vs. no teaching expectancy on the learning effects of teaching after preparatory learning. A meta-analysis of 39 studies revealed that a weighted mean effect size for the effect of teaching after studying with or without teaching expectancy vs. merely studying…
Descriptors: Learning Processes, Expectation, Prior Learning, Teacher Role
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George Veletsianos; Shandell Houlden; Nicole Johnson – TechTrends: Linking Research and Practice to Improve Learning, 2024
Much of the literature on artificial intelligence (AI) in education imagines AI as a tool in the service of teaching and learning. Is such a one-way relationship all that exists between AI and learners? In this paper we report on a thematic analysis of 92 participant responses to a story completion exercise which asked them to describe a classroom…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Interaction
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Di Sun; Gang Cheng; Heng Luo – Interactive Learning Environments, 2024
Recently, researchers have proposed to leverage technology-supported data (log files) to investigate temporal and sequential patterns of interaction behaviors in learning processes. There are two major challenges to be addressed: clarifying the positioning of interaction levels and identifying the evolution of the interaction action patterns in…
Descriptors: Foreign Countries, Undergraduate Students, Computer Science, MOOCs
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Changqin Huang; Jianhui Yu; Fei Wu; Yi Wang; Nian-Shing Chen – Journal of Computer Assisted Learning, 2024
Background: Investigating emotion sequence patterns in the posts of discussion forums in massive open online courses (MOOCs) holds a vital role in shaping online interactions and impacting learning achievement. While the majority of research focuses on the relationship between emotions and interactions in MOOC forum discussions, research on…
Descriptors: MOOCs, Discussion Groups, Computer Mediated Communication, Learning Processes
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Yun-Qi Bai; Ya-Qian Xu; Jian-Jun Xiao – Interactive Learning Environments, 2024
This study takes the value-based adoption model and CIE model of the learning process as the theoretical basis and combines them to explore the influencing factors and mechanisms of learners' online interaction and perceived value. Based on the questionnaire survey data of 81 learners' potential factors and their 45,166 real-time behavior data on…
Descriptors: MOOCs, Interaction, Student Behavior, Learning Processes
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Robin Samuelsson – Journal of Mixed Methods Research, 2025
Video has become a widespread tool for capturing naturalistic behavioral data. While mixed methods show great potential in understanding the active nature of children's interaction, only a few studies have developed mixed methods for video-based interaction research. This paper presents a mixed methods embodied interaction model appropriate for…
Descriptors: Video Technology, Data Collection, Child Behavior, Interaction
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Min Lee; Tan Roy Jun Yi; Chen Der-Thanq; Huang Jun Song; Hung Wei Loong David – Education and Information Technologies, 2025
A noticeable surge in students' widespread adoption of ChatGPT in the past year brought attention to the need for a deeper understanding of their interactions with this new technology. While attempts at theorising learner-ChatGPT interactions have been made, few studies offer empirical accounts of the interactions between learners and ChatGPT.…
Descriptors: Interaction, Man Machine Systems, Artificial Intelligence, Technology Uses in Education
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Birgit Brucker; Georg Pardi; Fabienne Uehlin; Laura Moosmann; Martin Lachmair; Marc Halfmann; Peter Gerjets – Educational Psychology Review, 2024
Virtual reality (VR) applications are developing rapidly, becoming more and more affordable, and offer various advantages for learning contexts. Dynamic visualizations are generally suitable for depicting continuous processes (e.g., different movement patterns), and particularly dynamic virtual 3D-objects can provide different perspectives on the…
Descriptors: Visual Perception, Spatial Ability, Motion, Computers
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Ruben Schlag; Karsten Stegmann; Maximilian Sailer – European Educational Researcher, 2024
The flipped classroom approach has increasingly been implemented in higher education and has shown promise for enhancing learning processes across many domains. In this instructional method, learners use certain learning materials to prepare for in-class lessons focusing on a deeper understanding and application of knowledge. Feedback and peer…
Descriptors: Flipped Classroom, Peer Relationship, Interaction, Feedback (Response)
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Oona Piipponen; Liisa Karlsson; Ritva Kantelinen – Journal of Multilingual and Multicultural Development, 2024
This paper describes the process of developing classroom culture that promotes reciprocal intercultural encountering in the primary school. Storycrafting, an oral storytelling method used for democratic encounters between participants, was used to connect classes in Scotland, Finland and Belgium over three cycles of design-based research.…
Descriptors: Classroom Environment, Intercultural Communication, Story Telling, Elementary School Students
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Lisa A. Giacumo – TechTrends: Linking Research and Practice to Improve Learning, 2024
The purpose of this article is to investigate how to use a strengths-based lens that is highly contextualized, in an ecology (i.e., online graduate course) that shows the value of the socio-emotional interactions or climate. I used an autoethnographic approach to problematize myself so that I could ask contemplative questions as a result of…
Descriptors: Introductory Courses, Instructional Design, Graduate Study, Ethnography
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Ünal Çakiroglu; Seval Bilgi – Interactive Learning Environments, 2024
The aim of this explanatory study is to identify the causes of intrinsic cognitive load in programming process. For this purpose, a method based on two dimensions; programming knowledge types (syntactic, semantic, and strategic) and programming constructs was proposed. The proposed method was tested with high school students enrolled in Computer…
Descriptors: Cognitive Processes, Difficulty Level, Programming, Interaction
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Christopher Jadallah; Heidi Ballard; Ryan McLaren Meyer; Cynthia Carter Ching; Alexis Patterson Williams – Journal of the Learning Sciences, 2024
Background: Community-based monitoring provides a forum for diverse stakeholders to co-construct knowledge relevant to building social-ecological resilience. However, power asymmetries between these actors can privilege the perspectives of dominant groups, while preventing non-dominant perspectives from informing conservation science. Methods:…
Descriptors: Power Structure, Youth, Professional Personnel, Workshops
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Jessica M. Karch; Nicolette M. Maggiore; Jennifer R. Pierre-Louis; Destiny Strange; Vesal Dini; Ira Caspari-Gnann – Science Education, 2024
Small group interactions and interactions with near-peer instructors such as learning assistants serve as fertile opportunities for student learning in undergraduate active learning classrooms. To understand what students take away from these interactions, we need to understand how and what they learn during the moment of their interaction. This…
Descriptors: Teaching Assistants, Interaction, Active Learning, Electronic Learning
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Shuoqiu Yang; Xu Du; Hengtao Tang; Jui-Long Hung; Yeye Tang – Education and Information Technologies, 2024
Collaborative Problem Solving (CPS) has received increasing attention for its role in promoting learners' cognitive and social development in STEM education. However, little is known about how learners interact dynamically within a group at different time granularities. This gap mainly resulted from overlooking the time dimension of interactions,…
Descriptors: Cooperative Learning, Problem Solving, Group Dynamics, Time Factors (Learning)
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