Date of Award

5-2025

Document Type

Project

Degree Name

Master of Science in Information Systems and Technology

Department

Information and Decision Sciences

First Reader/Committee Chair

Dorota Huizinga

Abstract

Online leaning platforms play an important role in this modern education world by providing flexible and diverse learning opportunities. This study investigates the most engaged online learning platform and the pattern by which the students are mostly attracted to a particular platform by focusing on enrollments, duration, price and completion rate of each course across different platforms. The research questions asked in this paper are: (Q1) What are the most engaged online learning platforms by students? (Q2) What are emerging patterns of engagement of students in online learning platforms? The dataset which is used for answering these questions is being collected from the Kaggle website.

The research questions were analyzed through quantitative analysis and comparative analysis of each platform. These analyses are done by using Tableau. The findings and conclusions for each question are: (Q1) After comparing the engagement ratio of students across each platform, edX had the highest engagement ratio, which means students are more likely completing their courses in this platform compared to others. (Q2) After comparing the average of prices and duration of each course with engagement ratio, results state that, students are preferring the platforms which offer the courses at lowest price and lowest duration for each course. Furthermore, the areas for further studies that appeared in this paper are focusing on personalized learning platforms and their impact on student engagement patterns towards the online learning platforms and focusing on the most attracted and highly enrolled online courses, which can help various platforms to improve their course offerings.

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