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Sebastian Straub; Isis Tunnigkeit; Julia Eberle; Arlind Avdullahu; Nikol Rummel – International Journal of Computer-Supported Collaborative Learning, 2025
A key challenge in CSCL research is to find ways to support learners in becoming effective collaborators. While the effectiveness of external collaboration scripts is well established, there is a need for research into support that acknowledges learners' autonomy during collaboration. In the present study, we compare an external collaboration…
Descriptors: Cooperative Learning, Interaction, Scripts, Computer Assisted Instruction
Zhennan Sun; Mingyong Pang; Yi Zhang – Education and Information Technologies, 2025
The evolution of individual and global learning preferences is influenced by correlation factors. This study introduces a novel evolutionary modeling approach to observe and analyze factors that affect the evolution of learning preferences. The influencing factors considered in this study are closely interwoven with the underlying personality of…
Descriptors: Learning Analytics, Learning Processes, Preferences, Student Characteristics
Jill DeTemple; Harriett E. Hayes; Jennifer Ellis West – Routledge, Taylor & Francis Group, 2025
"The Dialogic Classroom in Higher Education" is a step-by-step guide to leveraging Reflective Structured Dialogue as a pivotal pedagogical tool to boost student curiosity, engagement, and content acquisition. Learning environments where students are engaged--with instructors, with each other, and with course content--are carefully…
Descriptors: Higher Education, Classroom Environment, Classroom Communication, Dialogs (Language)
Baerheim, Anders; Ødegaard, Elin E.; Ness, Ingunn Johanne – Policy Futures in Education, 2023
In interprofessional (IP) workplace education, course and project leaders need a deeper understanding of how students learn. Basically, in IP workplace learning students learn from each other, from the affected agents (patients, clients, children, youth, or elderly), from the staff, and from using multitudes of artifacts. Most of these…
Descriptors: Interprofessional Relationship, Teamwork, Group Unity, Learning Processes
Maria Berge; Per Anderhag – Science & Education, 2025
Talking science is based on the premise of being serious and dignified. Still, both teachers and students use humour when they communicate. However, little is known about the mechanisms of how learning science is constituted when teachers and students are using spontaneous humour in science classroom activities. In this study, we acknowledge this…
Descriptors: Science Education, Humor, Class Activities, Physics
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
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
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
Ulrich Kortenkamp; Silke Ladel; Kevin Larkin – Digital Experiences in Mathematics Education, 2025
In this article, we investigate the effects of the app "Fingu" on a child's understanding of the part-whole concept. Using the Artifact Centric Activity Theory framework, we initially analyse the internalisation and externalisation processes that appear to occur during one child's use of the app. Based on the learning from this process,…
Descriptors: Technology Uses in Education, Computer Oriented Programs, Mathematical Concepts, Educational Games
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
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
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
Martha, Ati Suci Dian; Santoso, Harry B.; Junus, Kasiyah; Suhartanto, Heru – IEEE Transactions on Learning Technologies, 2023
Nowadays, online learning has become commonplace in higher education. Various factors influence the success of online learning. Factors such as low self-regulation and co-regulation of learning skills can affect student engagement and motivation in online learning activities. Therefore, it is essential to provide external support in the online…
Descriptors: Metacognition, Motivation, Scaffolding (Teaching Technique), Self Management
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
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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