Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Computer Assisted Instruction | 2 |
| Data Analysis | 2 |
| Data Use | 2 |
| Computation | 1 |
| Computer Software | 1 |
| Correlation | 1 |
| Course Content | 1 |
| Differences | 1 |
| Educational Technology | 1 |
| Engineering | 1 |
| Instructional Design | 1 |
| More ▼ | |
Source
| IEEE Transactions on Learning… | 2 |
Author
| Brinton, Christopher G. | 1 |
| Cao, Da | 1 |
| Chen, Weiyu | 1 |
| Chiang, Mung | 1 |
| Lu, Charlton | 1 |
| Mason-Singh, Amanda | 1 |
| Pelanek, Radek | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Pelanek, Radek – IEEE Transactions on Learning Technologies, 2020
A measure of similarity of educational items has many applications in adaptive learning systems and can be useful also for teachers and content creators. We provide a thorough overview of approaches for measuring item similarity. We document the computation pipeline, explicitly highlighting many choices that have to be made in order to quantify…
Descriptors: Educational Technology, Instructional Materials, Measurement Techniques, Differences
Chen, Weiyu; Brinton, Christopher G.; Cao, Da; Mason-Singh, Amanda; Lu, Charlton; Chiang, Mung – IEEE Transactions on Learning Technologies, 2019
We study learning outcome prediction for online courses. Whereas prior work has focused on semester-long courses with frequent student assessments, we focus on short-courses that have single outcomes assigned by instructors at the end. The lack of performance data and generally small enrollments makes the behavior of learners, captured as they…
Descriptors: Online Courses, Outcomes of Education, Prediction, Course Content

Peer reviewed
Direct link
