Journal of Engineering Education Transformations

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Online Education and Its Repercussions On Engineering Students During COVID-19: A Survey


Affiliations
1 Department of Information Technology, RJIT, Tekanpur, India-475005., India
2 Department of Computer Science and Engineering, RJIT, Tekanpur, India-475005., India
3 Department of Mechanical Engineering, BIT, Sindri, Dhanbad, India-828123., India
4 Department of Mechanical Engineering, GEC, Raipur India-492001., India
     

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The spread of Coronavirus pandemic and the resulting lockdown has significantly disrupted every facet of human life including education. The education system has never thought of such an unprecedented situation and thus, it had caused a colossal disparity within it. More than 1.2 billion children were out of the classroom, in India almost 32 crore learners stopped going to educational institutions. In India the online learning has many concerns like awareness, its effectiveness, stable internet connectivity, electricity supply, required devices etc. In this study we are trying to address such queries, constraints and to analyse impacts of COVID-19 on the students by understanding their opinion, inclinations and their mental health via an online survey of 399 engineering students in two institutions of Raipur, Chhattisgarh, India. Our results revealed that smartphone is the most popular device since 88.97% used it whereas mobile GPRS is the first choice for the Internet connectivity since 75.18% respondents used it.

Keywords

COVID-19; Online Education; Perception; Repercussion, Engineering.
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  • Adnan, M., & Anwar, K. (2020). Online learning amid the COVID-19 pandemic: Students' perspectives. Journal of Pedagogical Sociology and Psychology, 2, 2–8.

  • AISHE, (2019). All India Survey on Higher Education (AISHE), (2019). Ministry of Human R es o u rce D e ve lo p m en t, N ew D e lh i : Government of India. http://aishe.nic.in/aishe/. Accessed 10th June 2021.

  • Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2).

  • Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ, 1986(23-28).

  • Bandura, A., Freeman, W. H., & Lightsey, R. (1999). Self-efficacy: The exercise of control. Journal of Cognitive Psychotherapy, 13(2), 158- 166. https://connect.springerpub.com/content/ sgrjcp/13/2/158

  • Barab, S. A., & Duffy, T. (2012). From practice fields to communities of practice. In Theoretical foundations of learning environments (pp. 29- 65). Routledge.

  • Bignoux, S., & Sund, K. J. (2018). Tutoring executives online: What drives perceived quality? Behaviour & Information Technology, 37(7), 703–713.

  • De Brouwer, E., Raimondi, D., & Moreau, Y. (2020). Modeling the COVID-19 outbreaks and the effectiveness of the containment measures adopted across countries. MedRxiv.

  • Chizmar, J. F., & Walbert, M. S. (1999). Webbased learning environments guided by principles of good teaching practice. The Journal of Economic Education, 30(3), 248–259.

  • Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS quarterly, 189-211.

  • Deci, E. L., & Ryan, R. M. (1985). Motivation and self-determination in human behavior. NY: Plenum Publishing Co.

  • DG-WHO, (2020). Director General's Opening Remarks. WHO Media Briefing on COVID-19. https://www.who.int/dg/speeches/detail/whodirector-general-s-opening-remarks-atthemedia-briefing-on-covid-19---11-march2020. Accessed 10th June 2021.

  • Eastin, M. A., & LaRose, R. (2000). Internet self-efficacy and the psychology of the digital divide. Journal of Computer-Mediated Communication, 6(1).

  • Fairchild, A. J., Jeanne Horst, S., Finney, S. J., & Barron, K. E. (2005). Evaluating existing and new validity evidence for the academic motivation scale. Contemporary Educational Psychology, 30(3), 331–358.

  • Golladay, R., Prybutok, V., & Huff, R. (2000). Critical success factors for the online learner. Journal of Computer Information Systems, 40(4), 69–71.

  • Gu, Z. (2002). Performance gaps between US and European casinos: A comparative study. UNLV Gaming Research & Review Journal, 6(2),53–62. https://digitalscholarship.unlv.edu/grrj/vol6/iss 2/5/

  • Hannafin, M. J. (1984). Guidelines for using locus of instructional control in the design of computer-assisted instruction. Journal of Instructional Development, 7(3), 6–10.

  • Hara, N., & Kling, R. (1999). Students' frustrations with a web-based distance education course. First Monday, 4(12).

  • Hung, M. L., Chou, C., Chen, C. H., & Own, Z. Y. (2010). Learner readiness for online learning: Scale development and student perceptions. Computers & Education, 55(3), 1080–1090.

  • Jena, P. K. (2020). Impact of Pandemic COVID-19 on Education in India. International Journal of Research in Commerce and Management, 5(10),7–11. https://doi.org/10.24941/ijcr.39209.07.2020

  • Jonassen, D. H. (2002). Engaging and supporting problem solving in online learning. Quarterly Review of Distance Education, 3(1), 1–13.

  • Kapasia, N., Paul, P., Roy, A., Saha, J., Zaveri, A., Mallick, R., ... & Chouhan, P. (2020). Impact of lockdown on learning status of undergraduate and postgraduate students during COVID-19 pandemic in West Bengal, India. Children and youth services review, 116, 105194.

  • Khachfe, H. H., Chahrour, M. A., Sammouri, J., Salhab, H. A., Eldeen Makki, B., & Fares, M. Y. An epidemiological study on COVID-19: a rapidly spreading disease. Cureus. 12, e7313 (2020).

  • Khattar, A., Jain, P. R., & Quadri, S. M. K. (2020, May). Effects of the disastrous pandemic COVID 19 on learning styles, activities and mental health of young Indian students-a machine learning approach. In 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp.1190-1195).IEEE. https://doi.org/10.1109/ICICCS48265.2020.91 20955

  • Kim, K. J., Liu, S., & Bonk, C. J. (2005). Online MBA students' perceptions of online learning: Benefits, challenges, and suggestions. The Internet and Higher Education, 8(4), 335–344.

  • Laine, L. (2003). Is e-learning effective for IT training? T+D, 57(6), 55–60.

  • Lim, D. H., Morris, M. L., & Kupritz, V. W. (2007). Online vs blended learning: Differences in instructional outcomes and learner satisfaction. Journal of Asynchronous Learning Networks, 11(2), 27–42.

  • Mc Call, D. E. (2002). Factors influencing participation and perseverance in online distance learning courses: A case study in continuing professional education. The Florida State University.

  • McVay, M. (2000). Developing a web-based distance student orientation to enhance student success in an online bachelor's degree completion program. Unpublished practicum report presented to the Ed. D. Program, Nova Southeastern University, Florida.

  • McVay, M. (2001). How to be a successful distance learning student: Learning on the Internet. NY: Prentice Hall.

  • Muilenburg, L. Y., & Berge, Z. L. (2005). Student barriers to online learning: A factor analytic study. Distance education, 26(1), 29-48.

  • Muilenburg, L. Y., & Berge, Z. L. (2005). Student barriers to online learning: A factor analytic study. Distance education, 26(1), 29-48.

  • Nguyen, T. (2015). The effectiveness of online learning: Beyond no significant difference and future horizons. MERLOT Journal of Online Learning and Teaching, 11(2), 309-319.

  • Palloff, R. M., & Pratt, K. (1999). Building learning communities in cyberspace: Effective strategies for the online classroom. San Francisco: Jossey-Bass.

  • Petrides, L. A. (2002). Web-based technologies for distributed (or distance) learning: Creating learning-centered educational experiences in the higher education classroom. International Journal of Instructional Media, 29(1), 69–77.

  • Piccoli, G., Ahmad, R., & Ives, B. (2001). Webbased virtual learning environments: A research framework and a preliminary assessment of effectiveness in basic IT skills training. MIS Quarterly, 401–426.

  • Piccoli, G., Ahmad, R., & Ives, B. (2001). Webbased virtual learning environments: A research framework and a preliminary assessment of effectiveness in basic IT skills training. MIS Quarterly, 401–426.

  • Sharma K., (2020). In India, over 32 crore students hit by Covid-19 as schools and colleges are shut:UNESCO. https://theprint.in/india/education/in-indiaover-32-crore-students-hit-by-covid-19-asschools-and-colleges-are-shut-unesco/402889/. Accessed 15th June 2021.

  • Reeves, T. C. (1993). Pseudoscience in computer-based instruction: The case of lecturer control research. Journal of Computer-Based Instruction, 20(2), 39–46.

  • Roper, A. R. (2007). How students develop online learning skills. Educause Quarterly, 30(1), 62–64.

  • Ryan, R. M., & Deci, E. L. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25(1), 5.

  • Ryan, S. (2001). Is online learning right for you? American Agent and Broker, 73(6), 54–58.

  • Saha, J., Barman, B., & Chouhan, P. (2020). Lockdown for COVID-19 and its impact on community mobility in India: An analysis of the COVID-19 Community Mobility Reports, 2020. Children and Youth Services Review, 116, Article 105160. Available online : https://doi. org/10.1016/ j.childyouth.2020.105160

  • Serwatka, J. (2003). Assessment in on-line CIS courses. Journal of Computer Information Systems, 43(3), 16–20.

  • Shyu, H. Y., & Brown, S. W. (1992). Learner control versus program control in interactive videodisc instruction: What are the effects in procedural learning? International Journal of Instructional Media, 19(2), 85–95.

  • Soo, K. S., & Bonk, C. J. (1998). Interaction: What Does it mean in online distance education? 8p. In ED-MEDIA/ED-TELECOM 98 world conference on educational multimedia and hypermedia & world conference on educational telecommunications. Proceedings (10th, freiburg, Germany, June 20-25, 1998).

  • Swan, K., Shea, P., Fredericksen, E., Pickett, A., Pelz, W., & Maher, G. (2000). Building knowledge building communities: Consistency, contact and communication in the virtual classroom. Journal of Educational Computing Research, 23(4), 359–383.

  • Trautwein, U., Lüdtke, O., Kastens, C., & Koller, O. (2006). Effort on homework in grades 5–9: Development, motivational antecedents, and the association with effort on classwork. Child Development, 77(4), 1094–1111.

  • Tsai, C. C., & Lin, C. C. (2004). Taiwanese adolescents' perceptions and attitudes regarding the internet: Exploring gender differences. Adolescence, 39(156), 725–734.

  • Tsai, M. J., & Tsai, C. C. (2003). Information searching strategies in web-based science learning: The role of internet self-efficacy. Innovations in Education & Teaching International, 40(1), 43–50.

  • UNESCO (2021), Institute for Statistic. http://uis.unesco.org/en/country/in. Accessed on 15th June 2021.

  • UNESCO. (2020). COVID-19 Educational disruption and response. https://en.unesco.org/themes/educationemergen cies/coronavirus-school-closures. Accessed 15th June 2021.

  • Vonderwell, S. (2003). An examination of asynchronous communication experiences and perspectives of students in an online course: A case study. The Internet and higher education, 6(1), 77–90.

  • Wagner, R., Werner, J., & Schramm, R. (2002, August). An evaluation of student satisfaction with distance learning courses. In Annual conference on distance learning. Whitewater, WI: University of Wisconsin.

  • Warner, D., Christie, G., & Choy, S. (1998). Readiness of VET clients for flexible delivery including on-line learning. Brisbane: Australian National Training Authority.

  • Wise, A., Chang, J., Duffy, T., & Del Valle, R. (2004). The effects of teacher social presence on student satisfaction, engagement, and learning. Journal of Educational Computing Research, 31(3), 247–271.

  • Woods, R. H., Jr. (2002). How much communication is enough in online courses? –exploring the relationship between frequency of instructor-initiated personal email and learners' perceptions of and participation in online learning. International Journal of Instructional Media, 29(4), 377.


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  • Online Education and Its Repercussions On Engineering Students During COVID-19: A Survey

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Authors

Anand Jha
Department of Information Technology, RJIT, Tekanpur, India-475005., India
Kirti Raj Bhatele
Department of Computer Science and Engineering, RJIT, Tekanpur, India-475005., India
Chaitanya Sharma
Department of Mechanical Engineering, BIT, Sindri, Dhanbad, India-828123., India
Ajay Tripathi
Department of Mechanical Engineering, GEC, Raipur India-492001., India

Abstract


The spread of Coronavirus pandemic and the resulting lockdown has significantly disrupted every facet of human life including education. The education system has never thought of such an unprecedented situation and thus, it had caused a colossal disparity within it. More than 1.2 billion children were out of the classroom, in India almost 32 crore learners stopped going to educational institutions. In India the online learning has many concerns like awareness, its effectiveness, stable internet connectivity, electricity supply, required devices etc. In this study we are trying to address such queries, constraints and to analyse impacts of COVID-19 on the students by understanding their opinion, inclinations and their mental health via an online survey of 399 engineering students in two institutions of Raipur, Chhattisgarh, India. Our results revealed that smartphone is the most popular device since 88.97% used it whereas mobile GPRS is the first choice for the Internet connectivity since 75.18% respondents used it.

Keywords


COVID-19; Online Education; Perception; Repercussion, Engineering.

References