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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
Xiu-Yi Wu – Education and Information Technologies, 2025
Blended collaborative learning has emerged as an effective pedagogical model that integrates face-to-face and online learning environments, offering a dynamic platform for deep learning--characterized by critical thinking, knowledge synthesis, and application. However, existing research offers mixed findings on how blended collaborative learning…
Descriptors: Blended Learning, Cooperative Learning, Learning Processes, Structural Equation Models
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
Asma A. Sayed; Terry Lucas – Educational Process: International Journal, 2025
Background/purpose: This study explores the development and implementation of interactive animated e-books as a transformative digital learning tool. It analyzes their pedagogical and cognitive effects on learner participation and understanding. The study is oriented towards how multimedia integration, interactive storytelling, and adaptive…
Descriptors: Material Development, Electronic Publishing, Books, Animation
Joel Weijia Lai; Wei Qiu; Maung Thway; Lei Zhang; Nurabidah Binti Jamil; Chit Lin Su; Samuel S. H. Ng; Fun Siong Lim – Journal of Learning Analytics, 2025
The growing use of generative AI (GenAI) has sparked discussions regarding integrating these tools into educational settings to enrich the learning experience of teachers and students. Self-regulated learning (SRL) research is pivotal in addressing this inquiry. One prevalent manifestation of GenAI is the large-language model (LLM) chatbot,…
Descriptors: Artificial Intelligence, Computer Software, Learning Analytics, Introductory Courses
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
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)
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
Gungadeen, Anuradha; Rajnee, Lobind – International Journal on E-Learning, 2023
With the current shift in educational settings to blended and flipped classroom and the introduction of learning management systems (LMS) such as Moodle, it is no surprise big data has found its place in education and is predicted to be extensively implemented in institutions of higher education (Johnson et al., 2013). In a flipped classroom…
Descriptors: Learning Analytics, Teacher Student Relationship, Peer Relationship, 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
Frank Wehrmann; Raphael Zender – Journal of Computer Assisted Learning, 2025
Background: The role of virtual reality (VR) in education is increasing, which raises questions about VR learning in multi-user settings. While collaborative VR learning, characterised by shared goals and low division of labour, is well-researched, cooperative VR learning, which emphasises role differentiation and task interdependence, remains…
Descriptors: Cooperative Learning, Computer Simulation, Learning Processes, Individualized Instruction
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
Al Mamun, Md Abdullah; Lawrie, Gwendolyn – Smart Learning Environments, 2023
Technological innovations and changing learning environments are influencing student engagement more than ever before. These changing learning environments are affecting the constructs of student behavioural engagement in the online environment and require scrutiny to determine how to facilitate better student learning outcomes. Specifically,…
Descriptors: Instructional Design, Student Behavior, Inquiry, Learner Engagement
Annica Gullberg; Kristina Andersson; Jenny Ivarsson; Henni Söderberg – Journal of Technology Education, 2025
Practical activities are at the core of learning in both engineering and science education programs. Hence, such activities are included as important practical learning experiences in each of these fields. During such learning experiences students are confronted by many different entities, from simple equipment to advanced instrumentation, all of…
Descriptors: Engineering Education, Learning Activities, Psychological Patterns, Learning Processes
Milena Kovacevic; Nevena Ivanovic; Ana Protic; Danijela Milenkovic; Zoran Mandinic; Dragana Puzovic; Miloš Bajcetic; Dušan Popadic; Jelena Parojcic; Andelija Malenovic – European Journal of Education, 2024
Digital transformation in education and relevant calls for action are recognised global priorities aimed to support education and training in the digital age. The experiences from the emergency remote teaching during the COVID-19 pandemic and recent research findings reveal relevant advantages, challenges, as well as different students and…
Descriptors: Health Sciences, Electronic Learning, Student Attitudes, COVID-19

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