Impact of using e-learning tools on Student’s Psychological Health during covid-19

COVID-19 is a disease generally caused by a virus called Coronavirus. The first corona case was reported in Wuhan, the City of China, whichspread worldwide and led to global health emergencies as a pandemic. Under this situation, like many countries, the Pakistan educational system implements an electronic learning (e-learning) mode due to lockdown all over the country. However, during the implementation, it has been observed that the sudden application of the e-learning mode significantly disturbs the psychological health of students. In order to address this problem, the current research work initially led an online survey through a google form to gather a novel dataset to study the psychological effect of electronic tools specifically on UMT students' goodness. A dataset of 735 responses was recorded to predict students' depression, sleeping habits, social interaction, and academic performance using e-learning tools. Further, the dataset was analyzed regarding each question's occurrences and proportions that were considered and tabulated. Secondly, multiple machine learning models such as Logistic regression, Naïve Bayes, k-Nearest Neighbours, and Support Vector Machine are considered to classify and deliberate the relationship between electronic learning and psychological illnesses. The experimental results showed that students' psychological health was significantly impacted due to the usage of e-learning tools during a pandemic. In future work, we will extend the scope of the proposed methodology to understand university students' emotional behaviour, psychological desires, and political inferring to improve electronic learning.