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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
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)
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
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
Karahasanovic, Amela; Culén, Alma Leora – Interactive Technology and Smart Education, 2023
Purpose: This study aims to propose a service-dominant logic (S-DL)-informed framework for teaching innovation in the context of human--computer interaction (HCI) education involving large industrial projects. Design/methodology/approach: This study combines S-DL from the field of marketing with experiential and constructivist learning to enable…
Descriptors: Student Projects, Active Learning, Man Machine Systems, Interaction
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
Gang Wang; Xie Qing – Interactive Learning Environments, 2024
This study is intended to analyze the impact of online and offline mixed teaching methods for university students due to COVID-19. The study was conducted when the government relaxed the restrictions imposed during the COVID-19 period. So, the questionnaire was created using Google Forms and then 550 Questionnaires were distributed via email. On…
Descriptors: Electronic Learning, In Person Learning, Teaching Methods, COVID-19
Siribhorn Bhuranahirunn – Shanlax International Journal of Education, 2024
This research aimed to (1) study the interaction between groups of people in the community in the collaborative learning of people with different ages, (2) create a model for promoting lifelong learning of people of different ages based on community lifestyle, and (3) experiment the lifelong learning model of people with different ages based on…
Descriptors: Cooperative Learning, Age Differences, Lifelong Learning, Interaction
Liu Liu – Education and Information Technologies, 2025
The study examines the impact of artificial intelligence (AI)-enhanced gamification on learning outcomes and motivation in English as a Foreign Language (EFL) contexts. A mixed-methods approach and quasi-experimental design were employed to compare the effectiveness of three instructional strategies: adaptive learning paths, conversational agents,…
Descriptors: Technology Uses in Education, Artificial Intelligence, Gamification, Second Language Learning