Abstract
Self-regulated learning with massive open online course (MOOC) for the fundamentals of data structure course: A descriptive analysis
Highlights
self-regulated learning (SRL) is generally defined as an assortment of learning attributes that enable the learners to be active, constructive, and highly motivated
Acknowledging the beneficial impact of SRL on Massive Open Online Course (MOOC) platforms, it was anticipated that the approach could be very beneficial for students who learn difficult subjects such as programming and data structure
This article aims to present the preliminary insight of the MOOC learning platform and its effect on the SRL attributes
Summary
SRL is generally defined as an assortment of learning attributes that enable the learners to be active, constructive, and highly motivated. Acknowledging the beneficial impact of SRL on MOOC platforms, it was anticipated that the approach could be very beneficial for students who learn difficult subjects such as programming and data structure. In the computer science field, the introductory data structures course provides students with topics related to the fundamental concepts and programming skills. The data structures theory and concepts are somehow difficult to be imagined as it requires an essential understanding on many processing aspects of computer hardware and software, including computer memory, compiler, data management, and programming. Due to the difficulties faced by students, motivating their interest in the learning of data structure is a challenging task for the lecturer, and it has been a common problem until recently (Budiman et al, 2017; Dicheva et al, 2019; Lawrence, 2004)
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