Journal of Engineering Education Transformations
DOI: 10.16920/jeet/2022/v35is1/22035
Year: 2022, Volume: 35, Issue: Special Issue 1, Pages: 243-248
Original Article
1Seyed M.Buhari, 2R. Suganya and 3S. Rajaram
1Associate Professor, Department of IT, King Abdulaziz University, Jeddah, Saudi Arabia
[email protected]
2Associate Professor, Department of IT, Thiagarajar College of Engineering, Madurai, Tamilnadu, India,
[email protected]
3Registrar and Professor, Department of ECE, Thiagarajar College of Engineering, Madurai, Tamilnadu, India [email protected]
Online based education was enforced during the COVID-19 pandemic to minimize interruption in the pedagogy of teaching. Impact of transition from face-to-face to online based education on students’ learning needs to be studied. This research aims to compare the continuous assessment performance of students in both gmeet-based online and traditional offline classroom methods. Data required for this study was obtained from an academic institution (TCE-Madurai). Three core courses namely Database Management System (IV semester), Web Programming (V semester), and Theory of Computation (III semester) in the Department of Information Technology for both online (2018-2022 batch and 2019-2023 batch) and offline (2017-2021 batch) approach has been compared while considering the same cohort. Each course is designed with Course Outcomes (COs). We did Extrapolative analysis, Descriptive analysis, Correlation analysis, Regression analysis, ANOVA, and MANOVA analysis to find the relationship between internal assessments and terminal examination. The dataset has been collected from 337 students’ from the 2018-22 batch and 134 students from 2017-21 batch in the B.Tech program. Internal assessment includes three continuous assessment tests (CATs) and three assignments marks mapped with respect to corresponding COs. Terminal exam marks were also considered in the study. The dataset contains various features like scores of individual students in both internal assessments and terminal exams. Regression analysis helped to derive the relationship between final exam score which includes a specific course, a specific student, and a specific mode of delivery - Online / Offline. It explained the relationship between final exam score and internal assessment marks. It is observed that the students in online mode had significantly higher scores for the majority of the CourseOutcomes, mainly at the Knowledge level. It is difficult to measure certain areas like students’ skills and attitude level such as students’ peer Engagement, Human Interaction, Communication/Preparation, Critical thinking, and Team skills in online mode.
Keywords—Regression analysis, ANOVA, MANOVA, Online Vs Offline, Core courses, Performance, Internal test, Terminal exam,
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