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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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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:Medical and Health Sciences
Research Group:Public Health and Health Services
Research Field:Health Promotion
Objective Division:Health
Objective Group:Health and Support Services
Objective Field:Health Education and Promotion
Author:Goldberg, LR (Dr Lyn Goldberg)
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:146 View Download Statistics

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