Student learning time analysis during COVID-19 using linear programming - Simplex method

Covid-19 has made a significant impact on the lives of people. The education sector is also impacted by it. The unwarranted change was difficult to handle at first, but slowly got mitigated. The schools and colleges closed to avoid mass gatherings and communication. To help the education system cope with this virus, there was a need to understand how students would accept the change and what could be the impact of students' learning approaches due to Covid-19. This research focuses on examining students' learning habits during the pandemic. A dataset was constructed to examine Indian (Maharashtra) Students' learning habits during the time schools, and colleges were suspended due to the novel coronavirus- SARS-CoV-2 (COVID-19). In response to understanding the potential effects of the coronavirus pandemic, the questionnaires were spread over a network of educational communities on Facebook and Whatsapp from September 30 to October 20, 2020. Researchers delivered the given survey to teachers and parents to collect information. In order to live the influence of students' socioeconomic status and occupational aspirations on their learning habits of students during school closures, the survey included three significant information concerns: (A) Individual demographics, including family socioeconomic status(B) Student's learning time spent during COVID-19, Support system as teachers and parents guidance; and (C) Importance of Self-learning and Effectiveness of it. But this research focuses on the Student's learning time spent during COVID-19. Around 859 responses were received through the survey. With the effective aid of the LP model and the Simplex method, the importance of instructors during online learning can be analyzed. This paper presents results with the applied approach.