Diagnostic Evaluation of MOOCs
Published: 31 December 2019| Version 1 | DOI: 10.17632/fp7vktdjfx.1
Contributors:
, Heng Luo, Description
This study proposes a diagnostic MOOC evaluation (DME) method that combines the Analytic Hierarchy Process algorithm and learner review mining to integrate expert opinions, standardized rubrics, and learner feedback into the evaluation process. For this purpose, 30 MOOCs from the Coursera website were purposively selected and evaluated using the DME method and the results compared with expert evaluation and learner rating scores. The preliminary findings, in general, support the feasibility, accuracy, and diagnostic utility of the DME method and its suitability as a low-cost, sophisticated, and accurate method for MOOC evaluation.
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Categories
Design Evaluation, Massive Open Online Course