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Distance learning in engineering education: Challenges and opportunities during COVID-19 pandemic crisis in Pakistan
Open accessAbstract
This paper analyzes the impact of remote classrooms and labs as an outcome of “social distancing” during COVID-19 outbreak. It is important to analyze the emergence of web technologies and tools available for online learning and its impact on engineering education. The intended focus is to find a way out to address the issues regarding continued teaching and learning during long academic breaks due to this unpredicted pandemic. Some challenges in developing economies include the unavailability of internet services all over the country and limited resources accessible to large community to earn and learn during such epidemics. This study outlines various policy guidelines for online delivery of engineering courses and assessment techniques as experienced during this global pandemic. These guidelines will provide a roadmap for quality teaching and evaluation of online engineering courses.
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- Reich J et al. Remote learning guidance from state education agencies during the COVID-19 pandemic: a first look. EdArXiv https://doi.org/10.35542/osf.io/437e2 · DOI
- 10.3390/jrfm13020036 · DOI
- 10.3390/educsci10090236 · DOI
- Rubin B, Fernandes R. Measuring the community in online classes. J Asynchronous Learn Networks 2013; 17: 115–136.
- Abid MI Khan ZH. Towards a holistic approach to improve the retention rate of freshmen in engineering. In: IEEE international conference on teaching assessment and learning for engineering (TALE) Wollongong NSW Australia 2018 pp. 662–667. · DOI
- Alves GR et al. International cooperation for remote laboratory use. In: Nascimento MMDS Gustavo A and Morais EVA (eds) Contributions to higher engineering education. Berlin: Springer 2018 pp. 1–31.
- Sarsar F Çakır ÖA. Designing a training platform for higher education engineering instructors in the digital era. In: Asan SS and Ișikli E (eds) Engineering education trends in the digital era. Pennsylvania: IGI Global 2020 pp. 53–69. · DOI
- Grodotzki J Ortelt TR Tekkaya AEJPM. Remote and virtual labs for engineering education 4.0: achievements of the ELLI project at the TU Dortmund University. Procedia Manufacturing 2018; 26: 1349–1360. · DOI
- 10.1177/0020720916689103 · DOI
- Klinger T Zutin DG Madritsch C. Parallel use of remote labs and pocket labs in engineering education. In: Auer M and Zutin D (eds) Online engineering & internet of things. Berlin: Springer 2018 pp. 452–458. · DOI
- Frerich S Kruse D Petermann M et al. Virtual Labs and Remote Labs: Practical experience for everyone. In: 2014 IEEE Global Engineering Education Conference (EDUCON) Istanbul 2014 pp. 312--314. https://doi.org/10.1109/EDUCON.2014.6826109. · DOI
- 10.1002/cae.21727 · DOI
- Baltayan S Kreiter C Pester A. An online DC-motor test bench for engineering education. In: IEEE global engineering education conference (EDUCON) Tenerife 2018 pp. 1484–1488. Piscataway NJ: IEEE. https://doi.org/10.1109/EDUCON.2018.8363408. · DOI
- 10.1111/1467-9647.00114 · DOI
- Cartelli A Cruciani M Greco M et al. Digital competences in online classes. In: Proceedings of the European conference on E-Learning (ECEL 2010) Porto Portugal 4--5 November 2010.
- 10.1016/j.iheduc.2009.08.002 · DOI
- 10.4324/9780203838761 · DOI · Paper page
- Moore KA Pearson BJJH. Soft skills in an online class. Hort Technology 2017; 27: 583–585. · DOI
- Harris HS, Martin E. Student motivations for choosing online classes. Int J Scholar Teach Learn 2012; 6: n2.
- Siple JT. Students' motivation to learn: an evaluation of perceptions, pedagogy, and design in one e-learing environment. 2007. https://doi.org/10.17615/1k9m-ha02 · DOI
- 10.2190/ET.36.1.g · DOI
- Trammell BA, LaForge C. Common challenges for instructors in large online courses: strategies to mitigate student and instructor frustration. J Educ Online 2017; 14: n1.
- 10.1007/BF02763377 · DOI
- 10.1108/QRDE-02-2012-0003 · DOI
- Madden L, Jones G, Childers G. Teacher education: modes of communication within asynchronous and synchronous communication platforms. J Classroom Interact 2017; 52(2):16--30.
- 10.1111/j.1467-8535.2010.01112.x · DOI · Paper page
- 10.1080/10494820.2018.1522651 · DOI
- 10.17220/mojet.2020.01.002 · DOI
- Thinyane H Mufeti TK Terzoli A et al. Google docs and Skype for a low bandwidth virtual classroom for developing countries. In: 2010 IST-Africa Durban 2010 pp. 1--7. IEEE.
- Cartelli A Cruciani M Greco M et al. Digital competences in online classes. In: 9th European conference on eLearning(ECEL) 2010 4-5 November 2010 Porto Portugal p. 123–131.
- Tucker BG et al. Faculty perspectives on service-learning in engineering education: challenges and opportunities. In: Presented at the ASEE annual conference Atlanta GA June 2013 pp. 23–26. https://doi.org/10.18260/1-2--19610. · DOI
- 10.14742/ajet.5137 · DOI
- Chin-Bang Y. Context-aware customization e-learning system with intelligent on-line examination mechanism. In: Proceedings of the 2nd international conference on interaction sciences: information technology culture and human Seoul Korea 24-26 November 2009 pp. 502–507. https://doi.org/10.1145/1655925.1656017 · DOI
- Lin F-J Yang C-S Yang Y-S. Supporting learning context-aware and auto-notification mechanism on an examination system. In: E-Learn: world conference on E-learning in corporate government healthcare and higher education. Waynesville NC: Association for the Advancement of Computing in Education (AACE) 2007 pp.352–359.
- 10.1016/j.compedu.2014.10.010 · DOI
- Howarth J, Messing J, Altas I. Delivering online examinations: a case study. TOJDE 2004; 5:.
- da Silva IN Pereira J Silva JB et al. Remote laboratories for engineering education: experience of a Brazillian public university with project VISIR+. In: AsanSS and Ișikli E (eds) Engineering education trends in the digital era. Pennsylvania: IGI Global 2020 pp. 177–195. · DOI
- 10.1016/j.compedu.2009.06.011 · DOI
- 10.1016/j.chb.2010.11.011 · DOI · Paper page
Cited by
Teachers' Perceptions of Technology Integration in Teaching-Learning Practices: A Systematic Review
Akram, H., Abdelrady, A. H., Al-Adwan, A. S., & Ramzan, M. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.920317 · Cited by 358
“The study by Khan and Abid (2021) revealed that the paradigm shift from face-to-face to online teaching-learning during the COVID-19 phase gave an advantage for teachers and students to acquire technological skills by using different digital tools and platforms.”
Background
Metadata
- Authors
- Khan, Z. H., & Abid, M. I.
- Affiliations
- Air University (PK)
- Riphah International University (PK)
- Corresponding author
- Khan, Zeashan H
- Venue
- International Journal of Electrical Engineering & Education
- Publisher
- SAGE Publications
- Published
- 2021-01-24
- Volume
- 63
- Issue
- 2
- Pages
- 138-157
- ISSN
- 0020-7209 (ISSN-L)
- 2050-4578
- OpenAlex
- W3121903640
- Cited by
- 91
- References
- 0
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 24 · 2023: 26 · 2022: 28 · 2021: 4
- FWCI
- 36.01
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- International Journal of Electrical Engineering Education (publishedVersion)
- Topics
- Social Sciences › Education › Education during COVID-19 pandemic
- Social Sciences › Education › E-Learning and COVID-19
- Social Sciences › Education › Educational Innovations and Technology
- Keywords
- distance education, engineering education, COVID-19 pandemic, online learning, remote laboratory, online learning tools, internet access, developing countries, online assessment, online course delivery, teaching quality, Pakistan
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- This page
- CoChat. (2026). Citation check: Distance learning in engineering education: Challenges and opportunities during COVID-19 pandemic crisis in Pakistan. https://app.cochat.ai/papers/10.1177/0020720920988493
- The paper
- Khan, Z. H., & Abid, M. I. (2026). Distance learning in engineering education: Challenges and opportunities during COVID-19 pandemic crisis in Pakistan. International Journal of Electrical Engineering & Education. https://doi.org/10.1177/0020720920988493
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.