Online Self-Regulated Learning Strategies in MOOCs: A Measurement Model

• Main Authors: Mohd Muslim Md Zalli, Hasniza Nordin, Rosna Awang Hashim
• Format: Article
• Language: English
• Published: Kassel University Press 2020-04-01
• Series: International Journal of Emerging Technologies in Learning (iJET)
• Subjects: self-regulated learning; online learning; measurement model; massive open online course; mooc
• Online Access: https://online-journals.org/index.php/i-jet/article/view/12401

Massive Open Online Course (MOOC) is among disruptive innovations in online learning environments that attract a significant interest among students. MOOCs require learners to be actively involved and to utilize an individual process of self-regulated individual learning. The development of a measurement model for online self-regulated learning (SRL) has been found to be lacking when compared with the traditional, face-to-face context. This research has the objective of developing a model for measuring online self-regulation strategies in Malaysian MOOCs. Data collection was carried out using a sample of 384 learners in three MOOCs operated under the openlearning.com platform. A confirmatory factor analysis was executed to indicate the goodness-of-fit and validate the measurement model. Findings have shown that the measurement model and the data have a good fit after performing model modification procedures. Thus, the model is suitable for measuring online SRL in the setting of MOOC learning. Further, this study recommends several suggestions regarding the applicability of the measurement model with other variables related to teaching and learning in MOOC.