Consequential factors influencing student’s learning experience in online team teaching of computer programming courses

Abstract

This study aims to explore the factors impacting how students learn in online pro gramming courses at the undergraduate level in Bangladeshi universities. In the semester of Summer 2022, an online questionnaire to evaluate online learning was handed out to the students of Computer Science and Engineering at BRAC Uni versity. The questionnaire consisted of a total of 47 questions with a mix of both numerical and categorical and multiple-choice questions. This paper adopts multiple data science approaches to find the measure of reliability between the survey items. Twelve factors under five dimensions were examined to analyze the influence of on line learning on the students in computer programming courses at the university. A total of 740 responses were collected from the students and 694 valid responses were kept after cleaning the data. Necessary data pre-processing was applied and classification algorithms to select the important features such as CART Classifica tion Feature Importance, Random Forest Classifier, and K-neighbour Classifier were implemented. From the findings, the five most critical factors influencing the stu dent’s learning experience in these courses were Effectiveness of Assessment, Digital Content Quality, Adequacy of the Curriculum, Relationship of Lab Assignments with Theory Content, and Theory Instructor’s Effort. The dimensions that were most noteworthy for students’ evaluation of online learning experience were also ranked according to their significance. Coordination was ranked as the most signif icant dimension, followed by Lab Works, Course, Faculty, and finally, Technology, which has been found to be the least significant dimension. Finally, the findings of the analysis have been represented in a form of suggestions for adapting effective learning experiences for the students.