Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 3 |
Descriptor
| Cognitive Ability | 3 |
| Graphs | 3 |
| Academic Achievement | 1 |
| Academic Failure | 1 |
| Astronomy | 1 |
| At Risk Students | 1 |
| Audiences | 1 |
| Benchmarking | 1 |
| Cognitive Processes | 1 |
| College Faculty | 1 |
| College Freshmen | 1 |
| More ▼ | |
Author
| Khong, Andy W. H. | 1 |
| Klein, Pascal | 1 |
| Langendorf, Ronja | 1 |
| Li, Jiawei | 1 |
| Prevodnik, Katja | 1 |
| Qiu, Wei | 1 |
| Schneider, Susanne | 1 |
| Supraja, S. | 1 |
| Vehovar, Vasja | 1 |
Publication Type
| Reports - Research | 3 |
| Journal Articles | 2 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
Audience
Location
| Germany | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Prevodnik, Katja; Vehovar, Vasja – Sociological Methods & Research, 2023
When comparing social science phenomena through a time perspective, absolute and relative difference (RD) are the two typical presentation formats used to communicate interpretations to the audience, while time distance (TD) is the least frequently used of such formats. This article argues that the chosen presentation format is extremely important…
Descriptors: Comparative Analysis, Social Science Research, Public Agencies, College Faculty
Li, Jiawei; Supraja, S.; Qiu, Wei; Khong, Andy W. H. – International Educational Data Mining Society, 2022
Academic grades in assessments are predicted to determine if a student is at risk of failing a course. Sequential models or graph neural networks that have been employed for grade prediction do not consider relationships between course descriptions. We propose the use of text mining to extract semantic, syntactic, and frequency-based features from…
Descriptors: Course Descriptions, Learning Analytics, Academic Achievement, Prediction
Langendorf, Ronja; Schneider, Susanne; Klein, Pascal – Physical Review Physics Education Research, 2022
The Hertzsprung-Russell diagram (HRD) is a fundamental representation in stellar physics. It contains information about key properties of stars and allows inferences about stellar evolution. The use of the HRD is an important disciplinary activity in astrophysics. For example, it is particularly important to have a graphical understanding of the…
Descriptors: Physics, Science Instruction, Visual Aids, Benchmarking

Peer reviewed
Direct link
