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

Sujata Pardeshi1, Sushopti Gawade2, Palivela Hemant3

  • 1Department of Computer Science and Engineering, School of Technology, Sanjay Ghodawat University, Kolhapur, Maharashtra, India.

Social Sciences & Humanities Open
|March 21, 2022
PubMed
Summary
This summary is machine-generated.

This study investigated Indian students' learning habits during COVID-19 school closures. It found that understanding student learning time and the role of instructors is crucial for effective online education strategies.

Keywords:
COVID-19Educational systemsLinear programmingOfflineOnlineSimplex methodlearning habits

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Area of Science:

  • Education
  • Sociology
  • Public Health

Background:

  • The COVID-19 pandemic significantly disrupted traditional education systems globally.
  • Schools and colleges closed to mitigate virus transmission, necessitating rapid adaptation to remote learning.

Purpose of the Study:

  • To examine the learning habits of Indian students during the COVID-19 pandemic.
  • To understand the impact of school closures on student learning approaches and time allocation.

Main Methods:

  • A dataset was constructed using surveys distributed via Facebook and WhatsApp to students, teachers, and parents in Maharashtra, India.
  • The survey collected data on demographics, socioeconomic status, learning time, support systems, and self-learning effectiveness.
  • The Linear Programming (LP) model and Simplex method were applied to analyze instructor importance in online learning.

Main Results:

  • The study focused on analyzing student learning time during the pandemic.
  • Approximately 859 survey responses were collected and analyzed.
  • The LP model and Simplex method provided insights into the significance of instructors in the online learning environment.

Conclusions:

  • The COVID-19 pandemic necessitated a shift in educational delivery, highlighting the need to understand student learning behaviors.
  • Analyzing student learning time and the role of instructional support is vital for adapting education during crises.
  • This research provides data-driven insights into student learning habits during unprecedented educational disruptions.