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Quality assurance in online learning: The contribution of computational linguistics analysis to criterion referenced assessment
Citation
Goldberg, LR and Canty, A, Quality assurance in online learning: The contribution of computational linguistics analysis to criterion referenced assessment, eLearning Papers, (40) pp. 1-5. ISSN 1887-1542 (2015) [Refereed Article]
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Official URL: http://openeducationeuropa.eu/en/elearning_papers/...
Abstract
Asking students as a group what they have learned from an assessment and analysing their responses using computational linguistics software can provide a necessary and complementary perspective to criterion referenced assessment. This can ensure an assessment is meaningful, relevant, and designed to optimise learning and assure quality in online education.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | Quality assurance, online learning, computational linguistics analysis |
| Research Division: | Health Sciences |
| Research Group: | Public health |
| Research Field: | Health promotion |
| Objective Division: | Health |
| Objective Group: | Evaluation of health and support services |
| Objective Field: | Health education and promotion |
| UTAS Author: | Goldberg, LR (Associate Professor Lyn Goldberg) |
| UTAS Author: | Canty, A (Associate Professor Alison Canty) |
| ID Code: | 98176 |
| Year Published: | 2015 |
| Deposited By: | Wicking Dementia Research and Education Centre |
| Deposited On: | 2015-02-04 |
| Last Modified: | 2017-11-06 |
| Downloads: | 223 View Download Statistics |
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