Analysing the Changing Trends among Students in the Post-Pandemic Phase

Abstract: It has been widely observed and researched that the Personality of the students to a large extent influences their academic and non-academic performance. In recent years the students have gone through the phase of covid-19 pandemic. They got to experience variations in academic environment at educational institutes and at home.  They faced changes in their physical, behavioral, and mental health patterns. There were a lot of lifestyle changes caused by the pandemic. There is a remarkable difference in their learning preferences, attitudes, approaches and academic and non-academic parameters. The research paper aims to capture the gradual changes that were introduced with the outbreak of the pandemic. These changes occurred in both the teaching and learning styles. It is interesting to find out these variations and analyze their behavior in the post pandemic phase. A survey has been carried out to understand these factors.

Covid-19 pandemic, mental health, assignment submission, gadgets

1. Lahak Bhalla, Nita A Reji, Riya, “A Study of Behavior of Students in Post Covid Period”, Amity International Journal of Teacher Education (AIJTE), Volume 9, No.1. April 2023 [Google Scholar] [Crossref]

2. Beatta Zarowski , Demetrios Giokaris , OlgaGreen, “Effects of the COVID-19 Pandemic on University Students' Mental Health: A Literature Review”, Cureus, February 2024, DOI:10.7759/cureus.54032. [Google Scholar] [Crossref]

3. Na-Hye Kim, Jung-Min Lee, Eunhye Yoo, How the COVID-19 Pandemic Has Changed Adolescent Health: Physical Activity, Sleep, Obesity, and Mental Health, July 2022 doi: 10.3390/ijerph19159224 [Google Scholar] [Crossref]

4. I A Magomedov, M S-U Khaliev, S M Khubolov “The negative and positive impact of the pandemic on education”, Journal of Physics: Conference Series, doi:10.1088/1742-6596/1691/1/012134 [Google Scholar] [Crossref]

5. Luiela Magdalena Csorba a, Dan-Cristian Dabija, “The impact of the COVID-19 pandemic on students’ future online education behavior”, Heliyon, https://doi.org/10.1016/j.heliyon.2024.e39560 [Google Scholar] [Crossref]

• Topology Optimization for Low-Power-Wide-Area Networks (LPWANs) within Internet of Things (IOT)
• Detecting Misinformation Using Multimodal AI Models on Social Media Platforms
• Enhanced Face Detection Using Haar Cascade with Histogram Equalization, Sharpening, and Denoising for Real-Time Applications
• The Evolution of Data Analytics and Its Future Implication
• Utilizing AI Approaches for Generating Code Automatically