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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
Zi-Gang Ge; Qing Li – Education and Information Technologies, 2025
The present study explores the impact of different levels of competition involved in gamified learning on adult e-learners' intrinsic motivation, learning engagement, and language learning performance. One hundred and twenty participants were evenly and randomly assigned to two groups. A gamified learning procedure with a higher level of…
Descriptors: Gamification, Adult Students, Adult Learning, Electronic Learning
Fa Zhang; Yuyan Xia; Yu Wang; Jinglu Liu; Jie Xia; Chin-Chih Chen – Education and Information Technologies, 2025
Open universities can improve learning outcomes and overall satisfaction among adult learners by addressing and enhancing online learning motivation. By applying latent profile analysis (N = 494) and adult learner interviews (n = 16), this mixed methods study aimed to better understand adult learners' motivation profiles in online learning…
Descriptors: Adult Students, Adult Learning, Electronic Learning, Learning Motivation
Jiahui Du; Khe Foon Hew; Long Zhang – Education and Information Technologies, 2025
Self-regulated learning (SRL) is a prerequisite for successful learning. However, studies have reported that many students struggle with self-regulation in online learning, indicating the need to provide students with additional support for SRL. This study adopted a design-based research methodology to iteratively design, implement, and evaluate…
Descriptors: Independent Study, Artificial Intelligence, Electronic Learning, Graduate Students
Jinhee Kim; Rita Detrick; Seongryeong Yu; Yukyeong Song; Linda Bol; Na Li – Education and Information Technologies, 2025
Supporting learners in achieving high-level socially shared regulation of learning (SSRL) in the online collaborative learning (OCL) context presents challenges that the utilization of artificial intelligence (AI) technologies may help solve. However, the effective uses of AI to support multifaceted areas (cognition, metacognition, and motivation)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Electronic Learning, Cooperative Learning
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)
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)
Juiching Chiang – Education and Information Technologies, 2025
The purpose of this study was to implement an effective online learning environment based on self-determination theory (SDT) and to develop eighteen main elements of the conceptual environment. The significant difference between SDT and other motivation theories is that SDT emphasizes on how to internalize motivation, and it explores the…
Descriptors: Self Determination, Electronic Learning, Need Gratification, Personal Autonomy
Sri Wilda Albeta; Jimmi Copriady; Yustina; Radjawali Usman Rery – Education and Information Technologies, 2025
The present study aims to explore the factors influencing learning satisfaction in blended learning implementation. The two variables are attitude and motivation. In addition, this study aims to explain the difference between students' attitudes, motivation, and learning satisfaction based on gender and the scientific field. A number of 488…
Descriptors: Learning Motivation, Blended Learning, Student Attitudes, Student Satisfaction
Yusuf Yildirim; Gökhan Alptekin; Hakan Altinpulluk; Hakan Kilinc; Onur Yumurtaci – Education and Information Technologies, 2024
This study aims to determine the relationship between the loneliness levels and intrinsic motivation levels felt by distance learners in a virtual environment. To this end, predictive design was used as a quantitative research method. The results obtained from 330 distance learner participants revealed a medium level negative statistically…
Descriptors: Social Isolation, Learning Motivation, Distance Education, Electronic Learning
Yuxiao Xie; Ziyi Xie; Siyu Chen; Lei Shen; Zhizhuang Duan – Education and Information Technologies, 2025
The National College English Test Band 4 (CET-4) is a key test to assess the English language ability of Chinese university students, and the success rate of the test is important to improve the quality of their English learning. Artificial intelligence technology can be used to predict and explore the factors influencing the success rate. This…
Descriptors: Language Tests, English (Second Language), Second Language Learning, Second Language Instruction
Yumeng Zhu; Caifeng Zhu; Tao Wu; Shulei Wang; Yiyun Zhou; Jingyuan Chen; Fei Wu; Yan Li – Education and Information Technologies, 2025
With the prevalence of Large Language Model-based chatbots, middle school students are increasingly likely to engage with these tools to complete their assignments, raising concerns about its potential to harm students' learning motivation and learning outcomes. However, we know little about its real impact. Through quasi-experiment research with…
Descriptors: Artificial Intelligence, Assignments, Middle School Students, Influence of Technology
Wei Chen; Lijia Lin; Weiguo Pang – Education and Information Technologies, 2025
A video lesson with generative learning activities has the potential to improve learning by engaging learners. However, existing literature regarding designing and implementing an interactive video lesson is insufficient. In the present study, we aimed to investigate: a) whether the use of the summarizing strategy would benefit learning via video…
Descriptors: Learning Processes, Video Technology, Learning Activities, Writing Skills
Yu-Teng Jang; I-Ting Chiang – Education and Information Technologies, 2024
The study aims to probe the roles of learning desire and persistence in influencing Gen Z learners' continuance intention of using YouTube for learning in digital learning context. Building upon prior research, a research framework with 10 hypotheses was proposed and empirically tested by using Partial Least Squares Structure Equation Modelling…
Descriptors: Age Groups, Learning Management Systems, Teaching Methods, Academic Persistence
Ayse Eliüsük Bülbül; Serap Yilmaz Özelçi – Education and Information Technologies, 2025
This study is significant as it seeks to establish the connection between the digital literacy levels of pre-service teachers and their teacher identities while also examining the mediating role of mobile learning in this relationship. Additionally, it explores the impact of pre-service teachers' digital literacy and learning motivations on their…
Descriptors: Mediation Theory, Electronic Learning, Learning Motivation, Preservice Teachers