Abstract:

Quality is absolutely important for MOOC platform in order to maintain learner’s motivation, provider’s productivity and institution’s reputation. Since MOOCs has faced a lot of criticisms on its content weaknesses, the quality model for MOOC web content which based on Conole’s 7C’s model and PDCA for continuity has been proposed. The model consists of nine categories and 54 factors which derived from meta-analysis process involving literatures revision, factors combination and categorization. The proposed model has been validated by content providers and experts to provide systematic evidence of construct validity. The process involved two methodologies which are content validity test and survey on acceptability, analyzed using Rasch Measurement Model. In order to double-validate the model acceptance especially towards content providers, this paper proposed subsequent phase to measure the level of acceptance among content providers in a controlled-environment case study. In order to materialize this objective, the tool which automate the analysis and evaluation the MOOC content quality based on the quality model is developed. This article discussed each process in the development of the MOOC Content Quality Assessment Tool (MOCQAT) in detail. The technology acceptance test based on Technology Acceptance Model (TAM) is conducted among MOOC content providers in a higher learning institution to measure the acceptance among them not only to the tool, but also the quality factors in the model. The implementation of MOCQAT have potential to improve the quality of MOOC content through efforts at quality assessment and control level to meet stakeholders satisfaction.

Keywords:

Web Content, Quality Model, Rasch Model, Technology Acceptance Test, Case Study.