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An In-Depth Survey on Massive Open Online Course Outcome Prediction

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Cybernetics, Cognition and Machine Learning Applications

Abstract

Due to many reasons’ students discontinued their education and opted for jobs to fulfill their financial needs. For such students, open online courses are acting as a boon where students can select open online courses of their interest and can fulfill their dream of becoming graduated. In India, many reputed Universities and Institutes are running open online courses like Indian Institutes of Technology (IITs) and Indian Institute of Science (IISc). The main advantage of the open online course is that it drastically reduces the geographical and periodical barrier from the students’ life. Most of the open courses allow students to give the exams in easy to go environment that too in flexible timings. The most astonishing thing is that even though having so many flexibilities in the open online courses the course completion rate is too low. This paper analyzes the existing research area based on student behavior, student engagement, student browsing behavior, linguistic reflection of student engagement, and many more. This paper presents important future research directions.

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Gaurav, Kaur, G., Agrawal, P. (2020). An In-Depth Survey on Massive Open Online Course Outcome Prediction. In: Gunjan, V., Suganthan, P., Haase, J., Kumar, A., Raman, B. (eds) Cybernetics, Cognition and Machine Learning Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-1632-0_2

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