International Journal on Advanced Science, Engineering and Information Technology, Vol. 9 (2019) No. 1, List of accepted papers. , DOI:10.18517/ijaseit.9.1.7542

Visual Analytics: Design Study for Exploratory Analytics on Peer Profiles, Activity and Learning Performance for MOOC Forum Activity Assessment

Mohammad Fadhli Asli, Muzaffar Hamzah, Ag Asri Ag Ibrahim, Alter Jimat Embug

Abstract

The massively open online course (MOOC) has become the increasingly popular alternative to education due to open and free features. The platform allows enrolment on a massive scale and gained participation across the globe. The vast amount and variety of data generated pose challenges for the learning analytics community to analyse. Despite many research on learning analytics, there were few studies that specifically include user profiles within the analytical process factor, involves real-world scenarios and educational theories-driven. This design study aims to investigate and formulate a visual analytic design to facilitate enriched visual analysis towards assessing forum activity, particularly in pattern exploration from user diverse background and activities with the learning performance. This paper presents our review on visual learning analytics and current practice in Malaysia, our strategy and the proposed conceptual visual analytics design on visualizing forum activity data.

Keywords:

Visual analytics; visual data exploration; learning analytics; MOOC; design study.

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