Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Behavior Change | 1 |
| Blended Learning | 1 |
| Business Schools | 1 |
| Feedback (Response) | 1 |
| Learning Analytics | 1 |
| Learning Motivation | 1 |
| Learning Strategies | 1 |
| Metacognition | 1 |
| Profiles | 1 |
| Questionnaires | 1 |
| Student Attitudes | 1 |
| More ▼ | |
Source
| Journal of Computer Assisted… | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Motivated Strategies for… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkEsnaashari, Shadi; Gardner, Lesley A.; Arthanari, Tiru S.; Rehm, Michael – Journal of Computer Assisted Learning, 2023
Background: It is vital to understand students' Self-Regulatory Learning (SRL) processes, especially in Blended Learning (BL), when students need to be more autonomous in their learning process. In studying SRL, most researchers have followed a variable-oriented approach. Moreover, little has been known about the unfolding process of students' SRL…
Descriptors: Metacognition, Student Attitudes, Learning Strategies, Questionnaires
