Publication Date
| In 2026 | 0 |
| Since 2025 | 3 |
| Since 2022 (last 5 years) | 5 |
| Since 2017 (last 10 years) | 5 |
| Since 2007 (last 20 years) | 5 |
Descriptor
| Academic Achievement | 5 |
| Cognitive Processes | 5 |
| Learning Analytics | 5 |
| Artificial Intelligence | 2 |
| Difficulty Level | 2 |
| Feedback (Response) | 2 |
| Learning Management Systems | 2 |
| Learning Strategies | 2 |
| MOOCs | 2 |
| Access to Internet | 1 |
| Barriers | 1 |
| More ▼ | |
Author
| Ahmad Faza | 1 |
| Atsushi Shimada | 1 |
| Di Zhang | 1 |
| Ilyana Agri Lestari | 1 |
| Jia-hua Zhang | 1 |
| Jianwen Sun | 1 |
| Li Chen | 1 |
| Liu, Gi-Zen | 1 |
| Masanori Yamada | 1 |
| Min Lan | 1 |
| Min Lu | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 5 |
| Reports - Research | 5 |
| Information Analyses | 1 |
Education Level
| Higher Education | 4 |
| Postsecondary Education | 4 |
Audience
Location
| Japan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Shiqi Liu; Sannyuya Liu; Xian Peng; Jianwen Sun; Zhi Liu – Journal of Educational Computing Research, 2025
Forum discussions in Massive Open Online Courses (MOOCs) play a crucial role in promoting learning engagement and academic achievement. In particular, discussion topics significantly influence learners' emotional and cognitive engagement. However, the complex interrelationships among these factors remain underexplored. This study introduces an…
Descriptors: MOOCs, Difficulty Level, Learner Engagement, Academic Achievement
Wen-shuang Fu; Jia-hua Zhang; Di Zhang; Tian-tian Li; Min Lan; Na-na Liu – Journal of Educational Computing Research, 2025
Cognitive ability is closely associated with the acquisition of programming skills, and enhancing learners' cognitive ability is a crucial factor in improving the efficacy of programming education. Adaptive feedback strategies can provide learners with personalized support based on their learning context, which helps to stimulate their interest…
Descriptors: Feedback (Response), Cognitive Ability, Programming, Computer Science Education
Zhao, Fuzheng; Liu, Gi-Zen; Zhou, Juan; Yin, Chengjiu – Educational Technology & Society, 2023
Big data in education promotes access to the analysis of learning behavior, yielding many valuable analysis results. However, with obscure and insufficient guidelines commonly followed when applying the analysis results, it is difficult to translate information knowledge into actionable strategies for educational practices. This study aimed to…
Descriptors: Learning Analytics, Man Machine Systems, Artificial Intelligence, Learning Strategies
Li Chen; Xuewang Geng; Min Lu; Atsushi Shimada; Masanori Yamada – SAGE Open, 2023
Developed to maximize learning performance, learning analytics dashboards (LAD) are becoming increasingly commonplace in education. An LAD's effectiveness depends on how it is used and varies according to users' academic levels. In this study, two LADs and a learning support system were used in a higher education course to support students'…
Descriptors: Learning Analytics, Learning Management Systems, Cognitive Processes, Learning Strategies
Ahmad Faza; Ilyana Agri Lestari – International Review of Research in Open and Distributed Learning, 2025
When students enter higher education, self-regulated learning (SRL) involving goal setting, planning, monitoring, and reflection is crucial for academic success. This study systematically reviews SRL strategies, supporting technologies, and their impacts, especially with the shift to online learning due to the COVID-19 pandemic. Following…
Descriptors: Metacognition, Educational Benefits, Learning Management Systems, Goal Orientation

Peer reviewed
Direct link
