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ISSN: 1549-3636 (Print)
ISSN: 1552-6607 (Online)
Research Article Open Access

An Analytical Survey of Difficulty Faced in an Online Lecture During COVID-19 Pandemic Using CRISP-DM

Manmohan Singh1, Vinod Patidar2, Shaheen Ayyub3, Anita Soni4, Monika Vyas5, Dharmendra Sharma6 and Amol Ranadive 7
  • 1 Departmentof Computer Science and Engineering, IES College of Technology, Bhopal, India
  • 2 Department of Computer Science and Engineering, Bansal College of Engineering, Mandideep Bhopal, India
  • 3 Department of Computer Science and Engineering, Technocrats Institute of Technology, Bhopal, India
  • 4 Department of Computer Science and Engineering, IES University, Bhopal, India
  • 5 Department of Civil Engineering, IES College of Technology, Bhopal, India
  • 6 Department of School of Technology Management Institute NMIMS University Indore Campus, India
  • 7 Department of School of Business and Law Navrachana University Gujarat, India

Abstract

COVID-19 has greatly disturbed life in many ways and has changed the way we live. Various surveys have been conducted in different fields, and the teaching-learning process has been affected to a great extent. During this pandemic, various online tools and technologies have been available for guiding students without attending school. Many governments, corporations, and research fields have officially ordered to use of online media for the teaching-learning process. Platforms such as Google Meet, Microsoft Team, and Web-e-X have allowed and arranged for online video conferencing mediums to achieve the goal of the teaching-learning process. However, as mentioned above, there are some serious issues with the online teaching-learning process. These include problems with continuous network bandwidth during sessions, physical and mental presence in the class, difficulties handling mathematics classes, and the potential for non-sense activities that may disturb the entire class. In order to discover knowledge, I am using a new approach to data mining technology called CRISP-DM. This study addresses the effectiveness of online teaching mode and learning and the challenges faced by students and teachers who are taking online classes during COVID-19. According to this study, 88.2% of students did not have proper internet or technology facilities, 58.30% of students were not satisfied with online learning, 85.3% of students complained about eyesight issues from taking online classes on devices, and 50.01% of students were unable to manage university affairs.

Journal of Computer Science
Volume 19 No. 2, 2023, 242-250

DOI: https://doi.org/10.3844/jcssp.2023.242.250

Submitted On: 10 September 2022 Published On: 28 January 2023

How to Cite: Singh, M., Patidar, V., Ayyub, S., Soni, A., Vyas, M., Sharma, D. & Ranadive , A. (2023). An Analytical Survey of Difficulty Faced in an Online Lecture During COVID-19 Pandemic Using CRISP-DM. Journal of Computer Science, 19(2), 242-250. https://doi.org/10.3844/jcssp.2023.242.250

Open AccessCopyright: © 2023 Manmohan Singh, Vinod Patidar, Shaheen Ayyub, Anita Soni, Monika Vyas, Dharmendra Sharma and Amol Ranadive . This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • COVID-19
  • Online Teaching Learning
  • Data Mining
  • Data Warehouse
  • Big Data Analysis
  • CRISP-DM