Impact of Covid-19 on Teaching-Learning Perception of Faculties and Students of Higher Education in Indian Purview

Abstract

The education system has been brought to a halt due to pandemics around the globe. This study outlines the effect of Covid-19 on the teaching-learning perception of faculties and students of higher education in India. The recent pandemic has provided an impetus for the improvements in teaching and implementation of virtual education. Given the lack of information about how long the pandemic will go on, the demand for the current crisis is a steady move to e-education. The authority has introduced several e-platforms with online shops, e-contents, and other online material. Combining conventional technology (radio, TV, landline phone) with mobile/web technologies would improve connectivity and versatility with all tools. The paper employed a quantitative method to examine the perceptions of teachers and students’ perceptions of e-teaching and e-learning methods. It underlined the application practice of online teaching-learning modes by considering 500 respondents. This study aims to give a holistic view of the ongoing online teaching-learning activities during the pandemic lockdown. The study also found no considerable difference between teacher/learner satisfaction during this academic disruption. Soil recommendations, managerial implications, future scope and conclusion can also be helpful for policymakers, academics, and content analytics to draw a plan of action for e-learning.

Students’ academic engagement during COVID-19 times: a mixed-methods study into relatedness and loneliness during the pandemic

“…To answer the main question, a convergent mixed-methods approach was applied (Creswell, 2014). This particular method has also been used in the context of COVID-19 related studies (LoGiudice and Bartos, 2021).…”

“…In this study, higher education students' academic engagement during COVID-19 times was addressed and related to experiences of loneliness and relatedness (in life and in school social study context), applying a mixed-methods approach. Previous research showed that higher education struggled to keep students on task in the mandated virtual classrooms during social distancing as mandated due to COVID-19 (Kiltz et al, 2023), that students felt (more) lonely (Benke et al, 2020;DUWO and Youngworks, 2020;Marchini et al, 2020;Labrague et al, 2021;Rania et al, 2022;Kiltz et al, 2023), and that mental health problems among students increased during the lockdown (Dadhich et al, 2022;Rania et al, 2022;Kiltz et al, 2023).…”

“…Most of these studies focus so far on whether this situation makes students feel (more) lonely and in general, these studies indicate that this is the case (Benke et al, 2020;DUWO and Youngworks, 2020;Marchini et al, 2020;Labrague et al, 2021). Also, studies on effects of the lockdown and social distancing on students' mental health were conducted indicating an increase in mental health problems (Sher, 2020;Raj and Bajaj, 2021;Dadhich et al, 2022;Rania et al, 2022). However, in contrast to the amount of these studies, at the start of the pandemic, little research has been done regarding the connection between the use of mandated virtual classrooms and students' academic engagement (Müller et al, 2021).…”

The Distinction between R-CNN and Fast R-CNN in Image Analysis: A Performance Comparison

“…We stated in the previous section that the image contains an object, whether a human or something, to determine the area of the object more accurately, using a region-based convolutional neural network algorithm [69][70][71][72][73][74][75][76]. The central concept of this algorithm is area proposals.…”

The Impact of AI on Teaching and Learning in Higher Education Technology

“…For example, if a student is at risk, a teacher may intervene or provide feedback and instructional content to help them improve. Machine learning, data visualisation, learning sciences, and semantics all play a role in its development (M. Dadhich et al, 2022;Nankani et al, 2022). Competency learning powered by AI can, for example, help institutions anticipate the skills their students will need in the future.…”