The Role of Artificial Intelligence Techniqies in Improving the Behavior and Practices of Faculty Members When Switching to E-Learning in Light of the Covid-19 Crisis
Open accessAbstract
This study investigated the role of e-learning and artificial intelligence (AI) in improving the faculty members’ practices when switching to online education in the wake of the COVID-19 pandemic. The researcher employed a descriptive and analytical approach. A questionnaire was used to measure the impact of AI and e-learning on four different themes related to education in Saudi Arabia. The data from 406 respondents suggested a statistically significant (α≤ 0.05) effect of AI on e-learning. The faculty members strongly agreed that AI and e-learning improved relevant aims of teaching and related practices during the pandemic. Moreover, the influence on practices related to teaching methods during the pandemic was also highly positive. Further, the instructors strongly acknowledged that e-learning and AI ameliorated their teaching practices in general. Finally, the study depicted that e-learning and AI assisted instructors to automate grading and evaluation, ensures the confidentiality of data, and provides easier access to information. The average of the sample responses for all four fields analyzed in the study corresponded to the degree of approval. This study has a paramount importance due to the continuity of education in the context of the COVID-19 pandemic and the role of e-learning and artificial intelligence in education in general.
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Faculty frequently reported a low understanding or awareness of how AI was to be appropriately integrated into their teaching.
“faculty frequently reported a low understanding or awareness of how AI was to be appropriately integrated into their teaching (Gaber et al., 2022; Leoste et al., 2021; Nagro, 2021; Wood et al., 2021).”
Cites
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-019-0171-0 · Cited by 7,242 · cited 2× · see citing works
“Similar results were documented by Mukhtar et al. (2020b) and Zawacki-Richter et al. (2019) as well.”
MethodResultAdvantages, Limitations and Recommendations for online learning during COVID-19 pandemic era
Mukhtar, K., Javed, K., Arooj, M., & Sethi, A. (2020) · Pakistan Journal of Medical Sciences · doi:10.12669/pjms.36.covid19-s4.2785 · Cited by 1,300 · see citing works
Artificial Intelligence trends in education: a narrative overview
Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018) · Procedia Computer Science · doi:10.1016/j.procs.2018.08.233 · Cited by 956 · see citing works
Khalil, R., Mansour, A. E., Fadda, W. A., Almisnid, K., Aldamegh, M., Al-Nafeesah, A., Alkhalifah, A., & Al-Wutayd, O. (2020) · BMC Medical Education · doi:10.1186/s12909-020-02208-z · Cited by 893 · cited 1× · see citing works
“This observation was contrary to the report of Khalil et al. (2020) who analyzed the same aspect with reference to students’ views.”
ResultChan, K. S., & Zary, N. (2019) · JMIR Medical Education · doi:10.2196/13930 · Cited by 765 · cited 2× · see citing works
“The artificial intelligence tools provide ease, quick response, and essential data for analyzing the success of e-teaching strategies (Chan & Zary, 2019).”
BackgroundMethodArtificial Intelligence and Second Language Learning: An Efficient Approach to Error Remediation
Dodigovic, M. (2007) · Language Awareness · doi:10.2167/la416.0 · Cited by 68 · cited 1× · see citing works
“Artificial intelligence has also been applied to teach English as a second language, and it successfully remitted linguistic errors and improved the learning efficiency of students (Dodigovic, 2007).”
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Jiang, R. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1049401 · Cited by 181 · see citing works
“…and Lamia, 2018); assisting Self-Regulatory Learning (SRL), ITSs are proved to improve speaking skills (Mohammadzadeh and Sarkhosh, 2018); in COVID-19 context, ITSs can build students’ performance profiles to assist teachers in adapting online teaching modes and content wisely (Nagro, 2021).”
BackgroundNikolic, S., Wentworth, I., Sheridan, L., Moss, S., Duursma, E., Jones, R. A., Ros, M., & Middleton, R. (2024) · Australasian Journal of Educational Technology · doi:10.14742/ajet.9643 · Cited by 102 · see citing works
- Authors
- Abdullah Nagro, S.
- Venue
- International Journal of Education and Practice
- Publisher
- Conscientia Beam
- Published
- 2021
- Volume
- 9
- Issue
- 4
- Pages
- 687-714
- ISSN
- 2310-3868 (ISSN-L)
- 2311-6897
- OpenAlex
- W3213051263
- Cited by
- 19
- References
- 6
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 7 · 2023: 4 · 2022: 1
- FWCI
- 2.71
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- International Journal of Education and Practice (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Education › Education during COVID-19 pandemic
- Social Sciences › Education › E-Learning and COVID-19
- Keywords
- artificial intelligence in education, online learning, faculty teaching practices, COVID-19 pandemic, automated grading, data confidentiality, teaching methods, Saudi Arabia
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