فهرست نشریات علمی دسترسی آزاد ایران

In this research, we introduce a comprehensive framework designed to assess the influence of remote learning during the COVID-19 pandemic on the sleep habits, interpersonal competencies, mental health, digital technology, and academic performance of engineering students. Additionally, we examine how these factors relate to the student's Grade Point Average (GPA). To achieve this, we conducted a web-based questionnaire survey involving 500 participants. The collected responses were subjected to various statistical analyses, including the Best-Worst Method, One-Sample Wilcoxon Signed Ranked Test, Spearman's Rank Correlation, Multilayer Perceptron, and K-nearest neighbors. The study outcomes revealed statistically significant impacts of online classes during the COVID-19 pandemic on several aspects, including delayed sleep time, sleep quality, emotional intelligence, critical thinking, stress levels, social isolation, distraction, social life, theoretical understanding, practical understanding, and course grades among students. Interestingly, no statistically significant differences were observed in irregular sleep schedules, communication, depression, and entertainment within the surveyed sample. Furthermore, the results indicated a significant gender-based difference in delayed sleep time and stress levels, with notable variations between male and female participants. Additionally, we leveraged machine learning algorithms to establish a quantitative framework for predicting students' GPAs in online classes. Since the situation of COVID-19 is still unstable in Iran and online education is still used in the education system, the insights from this research can aid educational leaders in devising effective strategies to maintain a positive learning experience for students.