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1.
Journal of Engineering Education Transformations ; 35(Special Issue 1):194-198, 2022.
Article in English | Scopus | ID: covidwho-1787369

ABSTRACT

The COVID-19 pandemic forced the worldwide and sudden transformations of conventional live teaching strategy to online ICT based format in engineering education. Cognitive engagement of students is the main challenge during online teaching-learning platform. Team-based learning (TBL) is a collaborative teaching-learning approach that allows students to follow a structured procedure to enrich student cognitive engagement in the online platform. This paper is focused on comparative studies of team based learning and non-team based learning for a course “Advance Database System” in computer science and engineering department. The hypothesis is considered that TBL is best learning approach to cognitive engagement of students in the online platform. T-test and Chi-square test is applied to analyse the result. The results exhibited that TBL is the superior learning method and the hypothesis was proved and accepted. © 2022, Rajarambapu Institute Of Technology. All rights reserved.

2.
Journal of Engineering Education Transformations ; 34(Special Issue):44-49, 2021.
Article in English | Scopus | ID: covidwho-1061462

ABSTRACT

Nowadays, the entire world is facing the problem of pandemic i.e. COVID-19. Hence it is a challenging task for educators to engage students during virtual classroom activity. Many online tools are available to take instant feedback from students to measure their involvement levels like Quizzes, Polls, Surveys, etc. Hence, in this paper, the use of two online tools like InterviewBit and Slido is being addressed. These online tools are used to ask the questions during online lecture delivery that may help in measuring the overall involvement of the students. The mentioned tools are described in detail along with its incorporation in teaching Data Structure and Algorithms course for second year B. Tech in Computer Engineering students (around 120 Students). Also, the learning of students before and after the usage of the Tools have been compared and analysed. It has been observed that there is approximately 20% improvement in the overall learning outcomes after the usage of the Tools. Also, the cognitive and affective learning domains are considered to measure the overall impact. © 2021, Rajarambapu Institute Of Technology. All rights reserved.

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