Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Educational Technology | 3 |
| Learning Analytics | 3 |
| Prior Learning | 3 |
| College Freshmen | 2 |
| Self Management | 2 |
| Academic Achievement | 1 |
| At Risk Students | 1 |
| Biology | 1 |
| College Science | 1 |
| Computer Assisted Instruction | 1 |
| Computer Literacy | 1 |
| More ▼ | |
Author
| Bernacki, Matthew L. | 1 |
| Cogliano, MeganClaire | 1 |
| Gülbahar, Yasemin | 1 |
| Han, Hou | 1 |
| Hilpert, Jonathan C. | 1 |
| Strong, Christy L. | 1 |
| Wang, Dongqing | 1 |
| Yildirim, Denizer | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
Audience
Location
| Turkey | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkYildirim, Denizer; Gülbahar, Yasemin – Technology, Knowledge and Learning, 2022
This study aims to determine indicators that affect students' final performance in an online learning environment using predictive learning analytics in an ICT course and Turkey context. The study takes place within a large state university in an online computer literacy course (14 weeks in one semester) delivered to freshmen students (n = 1209).…
Descriptors: Electronic Learning, Foreign Countries, Computer Literacy, College Freshmen
Wang, Dongqing; Han, Hou – Journal of Computer Assisted Learning, 2021
With the development of a technology-supported environment, it is plausible to provide rich process-oriented feedback in a timely manner. In this paper, we developed a learning analytics dashboard (LAD) based on process-oriented feedback in iTutor to offer learners their final scores, sub-scale reports, and corresponding suggestions on further…
Descriptors: Learning Analytics, Educational Technology, Feedback (Response), Intelligent Tutoring Systems
Cogliano, MeganClaire; Bernacki, Matthew L.; Hilpert, Jonathan C.; Strong, Christy L. – Journal of Educational Psychology, 2022
We investigated the effects of a learning analytics-driven prediction modeling platform and a brief digital self-regulated learning skill training program targeted to support undergraduate biology students identified as likely to perform poorly in the course. A prediction model comprising prior knowledge scores and learning management system log…
Descriptors: Learning Analytics, College Science, Undergraduate Students, Biology
