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Xing, Wanli; Zhu, Gaoxia; Arslan, Okan; Shim, Jaesub; Popov, Vitaliy – Journal of Computing in Higher Education, 2023
Engagement is critical in learning, including computer-supported collaborative learning (CSCL). Previous studies have mainly measured engagement using students' self-reports which usually do not capture the learning process or the interactions between group members. Therefore, researchers advocated developing new and innovative engagement…
Descriptors: Learning Analytics, Cooperative Learning, Learner Engagement, Learning Motivation
Xingsu Wu; Chunyang Xu – Education and Information Technologies, 2025
This study, anchored in the empirical domain of student learning experiences, employs the Chaoxing Fanya network teaching platform to delineate a comprehensive model of factors that influence student learning experiences within the framework of blended collaborative learning. Through a rigorous synthesis of extant literature and qualitative…
Descriptors: Learning Experience, Blended Learning, Cooperative Learning, College Students
Zhongling Pi; Huixin Chai; La Li; Xinru Zhang; Xiying Li – Journal of Computer Assisted Learning, 2024
Background: Learning from video lectures with peers, that is, co-viewing video lectures, is a common mode of learning across a wide range of ages and topics in the information age. Objectives: The present study tested the effects of learners' motivation on co-viewing video lectures in terms of learning performance, mental effort, and interpersonal…
Descriptors: Learning Motivation, Cooperative Learning, Video Technology, Lecture Method
Chia-Ju Lin; Hsin-Yu Lee; Wei-Sheng Wang; Yueh-Min Huang; Ting-Ting Wu – Education and Information Technologies, 2025
In STEM hands-on learning activities, collaboration with group members can be a significant motivator for students' engagement. This research is based on the 6E Learning by DeSIGN™ model and explores the impact of incorporating reflective strategies on students' learning performance, motivation, and participation in collaborative STEM learning…
Descriptors: STEM Education, Reflection, Assistive Technology, Recognition (Psychology)
Henry Egbezien Inegbedion – Education and Information Technologies, 2024
Collaboration is critical to the student-centred learning approach and this is a characteristic feature of the online learning system, as collaborative learning happens to be a major attraction of the online education system. This study investigated innovation in education technology and peer learning outcomes with the mediation of learners'…
Descriptors: Foreign Countries, College Students, Educational Technology, Learning Motivation
Shasha Qi; Ali Derakhshan – Education and Information Technologies, 2025
This study explores the relationship between technology-based collaborative learning and learners' social regulation, academic emotions, and academic presentation. The researchers invited 695 English as a Foreign Language (EFL) students of different ages and learning backgrounds to participate in the research by questionnaire. The validated…
Descriptors: Technology Uses in Education, Cooperative Learning, Second Language Learning, English (Second Language)
Chinanan Polklang; Yannapat Seehamongkon – Journal of Education and Learning, 2025
This research developed academic achievements to attain a pass rate of 70% and assessed student motivation in studying mathematics. The target group consisted of 40 Grade 10 students during the second term of the 2023 academic year at Sarakham Pittayakhom School under the Mahasarakham Secondary Educational Service Area Office. The tools used in…
Descriptors: Academic Achievement, Learning Motivation, Mathematics Achievement, Mathematics Education
Oliveira, Wilk; Hamari, Juho; Joaquim, Sivaldo; Toda, Armando M.; Palomino, Paula T.; Vassileva, Julita; Isotani, Seiji – Smart Learning Environments, 2022
Gamification refers to the attempt to transform different kinds of systems to be able to better invoke positive experiences such as the flow state. However, the ability of such intervention to invoke flow state is commonly believed to depend on several moderating factors including the user's traits. Currently, there is a dearth of research on the…
Descriptors: Game Based Learning, Learner Engagement, Learning Motivation, Personality Traits
Yan Lin; Hongjian Liao; Suxian Weng; Wanqi Dong – Education and Information Technologies, 2024
Children's preschool years are crucial for the development of computational thinking (CT) skills. However, debate continues regarding whether CT should be developed through plugged-in or unplugged activities. This study investigated the similarities and differences between plugged-in and unplugged activities with similar learning content and…
Descriptors: Learning Activities, Computer Science Education, Teaching Methods, Thinking Skills
Yang Tiantian; Abu Bakar Razali; Nurul N. Zulkifli; Joanna J. Jeyaraj – Journal of Pedagogical Research, 2024
Recognizing the roles that English vocabulary, social interaction, academic performance, and learning motivation play in language learning can be useful in chiefly enhancing EFL language acquisition. This research explores the challenges that the pre-college EFL students encounter while expanding their word learning knowledge, communicating in the…
Descriptors: Cooperative Learning, Telecommunications, Handheld Devices, Learning Motivation
Duran, Rodrigo; Zavgorodniaia, Albina; Sorva, Juha – ACM Transactions on Computing Education, 2022
One of the most commonly cited theories in computing education research is cognitive load theory (CLT), which explains how learning is affected by the bottleneck of human working memory and how teaching may work around that limitation. The theory has evolved over a number of decades, addressing shortcomings in earlier versions; other issues remain…
Descriptors: Cognitive Ability, Computer Science Education, Teaching Methods, Learning Theories
Kerimbayev, Nurassyl; Nurym, Nurdaulet; Akramova, Aliya; Abdykarimova, Saule – Education and Information Technologies, 2023
In the previous study the work experience on organization of teaching Robotics to secondary school students at school lessons and in study groups was introduced. This study which was conducted within 2019 and 2021 covered the period of distant learning caused by COVID-19 pandemic and even post-pandemic period, when a part of school students…
Descriptors: Educational Technology, Technology Uses in Education, Computation, Thinking Skills
Bernadette F. van Heel; Riyan J. G. van den Born; Noelle Aarts – Environmental Education Research, 2025
Dutch nature organisations developed the Green Traineeship, combining out-of-the-classroom learning with voluntary work in nature for young adults, with the aim of supporting them to towards future action for nature. To better understand how young adults' engagement with nature can be strengthened and facilitated, we studied perceived knowledge…
Descriptors: Foreign Countries, Young Adults, Conservation (Environment), Volunteers
Gulsah Basol – European Journal of Education (EJED), 2024
The purpose of the study is to present the Beehive Interactive Learning Model (BILM) and to provide an example of its application in an undergraduate statistics course. The model is developed by the researcher, who is a professor in Educational Measurement and Evaluation area in Turkey with over 15 years of teaching experience. The model is based…
Descriptors: Teaching Methods, Statistics Education, Active Learning, Undergraduate Students
Ching-Yi Chang; Intan Setiani; Jie Chi Yang – Journal of Educational Computing Research, 2025
Traditional teaching methods often limit interactive learning, negatively impacting students' motivation and learning achievement. Moreover, fostering collaborative awareness and problem-solving skills is crucial for developing the core competencies of future nursing professionals. To address these challenges, this study proposed an escape…
Descriptors: Educational Games, Puzzles, Computer Assisted Instruction, Electronic Learning