Open AccessUnderstanding Learner Behaviour in Online Courses through Learning Analytics
Author(s) -
D. Thammi Raju,
G. R. K. Murthy,
Shrikant Bhimrao Khade,
B. Padmaja,
B. S. Yashavanth,
Swapna Kumar,
S. K. Soam,
Ch. Srinivasarao
Publication year - 2021
Publication title -
asian journal of agricultural extension, economics and sociology
Language(s) - English
Resource type - Journals
ISSN - 2320-7027
DOI - 10.9734/ajaees/2021/v39i1030705
Subject(s) - learning analytics , analytics , online learning , computer science , learning management , online course , quality (philosophy) , massive open online course , world wide web , multimedia , data science , mathematics education , psychology , philosophy , epistemology
Building an effective online course requires an understanding of learning analytics. The study assumes significance in the COVID 19 pandemic situation as there is a sudden surge in online courses. Analysis of the online course using the data generated from the Moodle Learning Management System (LMS), Google Forms and Google Analytics was carried out to understand the tenants of an effective online course. About 515 learners participated in the initial pre-training needs & expectations’ survey and 472 learners gave feedback at the end, apart from the real-time data generated from LMS and Google Analytics during the course period. This case study analysed online learning behaviour and the supporting learning environment and suggest critical factors to be at the centre stage in the design and development of online courses; leads to the improved online learning experience and thus the quality of education. User needs, quality of resources and effectiveness of online courses are equally important in taking further online courses.