Publication Date
In 2025 | 4 |
Since 2024 | 12 |
Descriptor
Source
Author
Antony Fute | 1 |
Audrey Raynault | 1 |
Curtis J. Bonk | 1 |
Daniel F. O. Onah | 1 |
Daniel Kangwa | 1 |
Doreen Prasse | 1 |
Dragan Gaševic | 1 |
Elaine L. L. Pang | 1 |
Emma C. Burns | 1 |
Franziska Aeschlimann | 1 |
Guillaume Decormeille | 1 |
More ▼ |
Publication Type
Journal Articles | 12 |
Reports - Research | 10 |
Information Analyses | 2 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 5 |
Postsecondary Education | 5 |
Adult Education | 1 |
Elementary Education | 1 |
Audience
Practitioners | 1 |
Researchers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Doreen Prasse; Mary Webb; Michelle Deschênes; Séverine Parent; Franziska Aeschlimann; Yoshiko Goda; Masanori Yamada; Audrey Raynault – Technology, Knowledge and Learning, 2024
Supporting learners' self-regulated learning (SRL) processes and skills is crucial for effective learning, especially in online learning environments. In recent years, research on SRL and how it can be supported by technology has proliferated, resulting in many systematic reviews. The aims of this umbrella review are to provide orientation in a…
Descriptors: Self Management, Online Courses, Educational Technology, Barriers
Jodie Torrington; Matt Bower; Emma C. Burns – British Journal of Educational Technology, 2024
It is well-established that being a self-regulated learner is beneficial academically, motivationally and is considered essential for productive life-long learning. Despite this, there is limited evidence examining how different measures of self-regulation for learning (SRL) relate to task performance for young students learning in digital…
Descriptors: Elementary School Students, Elementary Education, Electronic Learning, Independent Study
Daniel F. O. Onah; Elaine L. L. Pang; Jane E. Sinclair – Journal of Computing in Higher Education, 2024
Despite the proliferation of massive open online courses (MOOCs) and the impressive levels of enrolment they attract, many participants do not complete these courses. High drop-out has been identified as one of the major problems with existing MOOC formats. Our work addresses two factors relating to non-completion. Firstly, MOOCs require a high…
Descriptors: MOOCs, Self Management, Independent Study, Educational Technology
Yizhou Fan; Luzhen Tang; Huixiao Le; Kejie Shen; Shufang Tan; Yueying Zhao; Yuan Shen; Xinyu Li; Dragan Gaševic – British Journal of Educational Technology, 2025
With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generative artificial intelligence such as ChatGPT. In particular, there has been a surge of academic interest in human-AI collaboration and…
Descriptors: College Students, Writing Achievement, Writing Exercises, Artificial Intelligence
Zixi Li; Curtis J. Bonk – Computer Assisted Language Learning, 2025
The research study explored online language learners' self-directed language learning (SDLL) experiences, benefits, motivations, and challenges when employing educational tools like Duolingo in an out of classroom context. To gain insights into SDLL, in-depth and semi-structured interviews with 10 Duolingo users were conducted. Study results…
Descriptors: Computer Software, Independent Study, Second Language Learning, Second Language Instruction
Ruzhang Cheng – Journal of Educational Computing Research, 2025
This research examines the impact of online help-seeking strategies--both adaptive and peer-based--on promoting self-regulated and collaborative learning skills, as well as language learning outcomes, among Chinese EFL learners in computer-assisted language learning (CALL) environments. Employing a mixed-methods approach, the study triangulates…
Descriptors: Help Seeking, English (Second Language), Second Language Learning, Electronic Learning
Muhammad Ayub Buzdar; Hamid Ikram – Online Learning, 2024
The effects of COVID-19 remained significant on university students' social and academic well-being. The pandemic raised various mental and psychological challenges for the students, and had the potential to deteriorate their academic engagement and performance in online learning environments. The emotion regulation theory hypothesizes that…
Descriptors: COVID-19, Pandemics, Stress Variables, Cognitive Processes
Guillaume Decormeille; Thomas Geeraerts; Médéric Descoins; Nathalie Huet – Applied Cognitive Psychology, 2025
Screen-based simulation (SBS) can complement traditional nursing courses. We compared the effect of innovative virtual environments not widespread in French nursing schools on self-efficacy, quiz performance, and self-regulated learning behaviors. This quasi-experimental study involved 1183 student nurses. Participants were divided into an…
Descriptors: Foreign Countries, Nursing Education, Nursing Students, Computer Simulation
HaeJin Lee; Nigel Bosch – International Journal of STEM Education, 2024
Self-regulated learning (SRL) strategies can be domain specific. However, it remains unclear whether this specificity extends to different subtopics within a single subject domain. In this study, we collected data from 210 college students engaged in a computer-based learning environment to examine the heterogeneous manifestations of learning…
Descriptors: Computer Assisted Instruction, Self Management, Intellectual Disciplines, College Students
Daniel Kangwa; Mgambi Msambwa Msafiri; Xiulan Wan; Antony Fute – Social Psychology of Education: An International Journal, 2024
Online and computer-assisted learning have become widespread in the rapidly evolving education landscape. However, these learning modalities uniquely challenge academic integrity, escalating the potential for academic cheating. This systematic review used thematic and narrative syntheses to examine the relationships and the effects of self-doubt…
Descriptors: Self Esteem, Self Concept, Self Management, Influences
Jianhua Zhang; Lawrence Jun Zhang – Computer Assisted Language Learning, 2024
This study mainly explored the effects of teacher feedback, peer feedback and automated feedback on the use of metacognitive strategies in EFL writing. Ninety-seven participants were recruited and divided into three groups, who received two months of feedback from teachers, peers and an automatic writing evaluation system, respectively, and then…
Descriptors: Feedback (Response), Metacognition, English (Second Language), Second Language Learning
Long Li; Mira Kim – Australasian Journal of Educational Technology, 2024
This paper explores international students' engagement with educational technology for self-regulated English learning at an Australian university. Despite the increased use of automated feedback systems (AFSs) for language assessment, students' critical engagement with them for independent learning remains under-researched. The study primarily…
Descriptors: Feedback (Response), Automation, English Language Learners, English (Second Language)