Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Algorithms | 2 |
Accuracy | 1 |
Artificial Intelligence | 1 |
At Risk Students | 1 |
College Environment | 1 |
College Students | 1 |
Computer Science Education | 1 |
Computer Software | 1 |
Guidelines | 1 |
Higher Education | 1 |
Identification | 1 |
More ▼ |
Source
Journal of Educational… | 2 |
Author
Chun Yan Enoch Sit | 1 |
Dawyndt, Peter | 1 |
De Wever, Bram | 1 |
Deconinck, Louise | 1 |
Dhoedt, Bart | 1 |
Maertens, Rien | 1 |
Mesuere, Bart | 1 |
Mourisse, Dieter | 1 |
Siu-Cheung Kong | 1 |
Strijbol, Niko | 1 |
Van Petegem, Charlotte | 1 |
More ▼ |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Education Level
Higher Education | 2 |
Postsecondary Education | 2 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Chun Yan Enoch Sit; Siu-Cheung Kong – Journal of Educational Computing Research, 2024
Educational process mining aims (EPM) to help teachers understand the overall learning process of their students. Although deep learning models have shown promising results in many domains, the event log dataset in many online courses may not be large enough for deep learning models to approximate the probability distribution of students' learning…
Descriptors: Learning Processes, Learning Analytics, Algorithms, Guidelines
Van Petegem, Charlotte; Deconinck, Louise; Mourisse, Dieter; Maertens, Rien; Strijbol, Niko; Dhoedt, Bart; De Wever, Bram; Dawyndt, Peter; Mesuere, Bart – Journal of Educational Computing Research, 2023
We present a privacy-friendly early-detection framework to identify students at risk of failing in introductory programming courses at university. The framework was validated for two different courses with annual editions taken by higher education students (N = 2 080) and was found to be highly accurate and robust against variation in course…
Descriptors: Pass Fail Grading, At Risk Students, Introductory Courses, Programming