Year: 2024 | Month: December | Volume 15 | Issue 2
Learning Analytics of a MOOC under SWAYAM: A Case of a Teacher Education Course on ‘Assessment for Learning’
Niradhar Dey* and Vaishali
DOI:10.30954/2231-458X.02.2024.2
Abstract:
The study ‘Learning Analytics of a MOOC under SWAYAM: A Case of a Teacher Education Course on Assessment for Learning’ is a survey of three iterations of the online course Assessment for Learning under the SWAYAM platform. 161 students were selected purposively for the study who pursued the course in different sessions. A descriptive survey method has been used to conduct the study. A mixed form of questionnaire developed in Google Form has been used to gather information. Data has been analysed by using simple descriptive statistics like frequency count, percentage, and average scores. Both qualitative and quantitative modes of data analysis have been used in this study. The findings reflect that the course has successfully attracted a diverse, predominantly rural, and female learner base from teaching backgrounds and has received a strong overall quality rating from the learners enrolled in the course. The overall satisfaction of the learners was quite good in terms of different parameters in course components, like watching the video lessons, reading the text materials, participating in the discussion forums, and attending the assessment components. Apart from the course satisfaction, the study also highlights some critical challenges. Despite the continuous enrolment growth, the certification rates remained low, a reflection of the broader systemic challenge of MOOCs. The gap between enrolment and certification calls for immediate attention to personalised guidance, accessible offline content, focus on multilingual resources, an interactive discussion forum, and learner support mechanisms.
Print This Article Email This Article to Your Friend
