Exploring the impact of generative AI technologies on education: Academic expert perspectives, trends, and implications for sustainable development goals

Ibrahim Alshamsi, Kaneez Fatima Sadriwala, Fouad Jameel Ibrahim Alazzawi, Boumedyen Shannaq

Article ID: 8532
Vol 8, Issue 11, 2024

VIEWS - 1939 (Abstract)

Abstract


This study provides empirical data on the impact of generative AI in education, with special emphasis on sustainable development goals (SDGs). By conducting a thorough analysis of the relationship between generative AI technologies and educational outcomes, this research fills a critical gap in the literature. The insights offered are valuable for policymakers seeking to leverage new educational technologies to support sustainable development. Using Smart-PLS4, five hypotheses derived from the research questions were tested based on data collected from an E-Questionnaire distributed to academic faculty members and education managers. Of the 311 valid responses, the measurement model assessment confirmed the validity and reliability of the data, while the structural model assessment validated the hypotheses. The study’s findings reveal that New Approaches to Learning Outcome Assessment (NALOA) significantly contribute to achieving SDGs, with a path coefficient of 0.477 (p < 0.001). Similarly, the Use of Generative AI Technologies (UGAIT) has a notable positive impact on SDGs, with a value of 0.221 (p < 0.001). A Paradigm Shift in Education and Educational Process Organization (PSEPQ) also demonstrates a significant, though smaller, effect on SDGs with a coefficient of 0.142 (p = 0.008). However, the Opportunities and Risks of Generative AI in Education (ORGIE) study did not find statistically significant evidence of an impact on SDGs (p = 0.390). These findings highlight the potential opportunities and challenges of using generative AI technologies in education and underscore their key role in advancing sustainable development goals. The study also offers a strategic roadmap for educational institutions, particularly in Oman to harness AI technology in support of sustainable development objectives.


Keywords


generative AI; smart education; sustainable development goals; educational systems

Full Text:

PDF


References


Al Matari, A., Mukit, A., Al.Saadi, S., et al. (2023). Artificial Intelligence and the Future of Teaching in Higher Education at A'Sharqiyah University (ASU) in Oman. In: Proceedings of International Pelita Bangsa. pp. 182-200. Al-Ani, W. (2016). Alternative education needs in Oman: accommodating learning diversity and meeting market demand. International Journal of Adolescence and Youth, 22(3), 322–336. https://doi.org/10.1080/02673843.2016.1179204 Alasadi, E. A., & Baiz, C. R. (2023). Generative AI in Education and Research: Opportunities, Concerns, and Solutions. Journal of Chemical Education, 100(8), 2965–2971. https://doi.org/10.1021/acs.jchemed.3c00323 Al-Shamsi, I. R., Shannaq, B., & Devarajanayaka, K. M. (2023). A Comparative Analysis of the Service Quality in Public and Private Company Telecommunication Services. Advances in Information and Communication. Springer Nature Switzerland. pp. 167–186. https://doi.org/10.1007/978-3-031-28076-4_15 Al-Shamsi, I. R., Shannaq, B., Adebiaye, R., et al. (2024). Exploring biometric attendance technology in the Arab academic environment: Insights into faculty loyalty and educational performance in policy initiatives. Journal of Infrastructure, Policy and Development, 8(9), 6991. https://doi.org/10.24294/jipd.v8i9.6991 Bahroun, Z., Anane, C., Ahmed, V., et al. (2023). Transforming Education: A Comprehensive Review of Generative Artificial Intelligence in Educational Settings through Bibliometric and Content Analysis. Sustainability, 15(17), 12983. https://doi.org/10.3390/su151712983 Hair, J. F., Gabriel, M. L. D. S., da Silva, D., et al. (2019). Development and validation of attitudes measurement scales: fundamental and practical aspects. RAUSP Management Journal, 54(4), 490–507. https://doi.org/10.1108/rausp-05-2019-0098 Hair, J. F., Hult, G. T. M., Ringle, C. M., et al. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. In Classroom Companion: Business. Springer International Publishing. https://doi.org/10.1007/978-3-030-80519-7 Hair, J. F., Page, M., & Brunsveld, N. (2019). Essentials of Business Research Methods. Routledge. https://doi.org/10.4324/9780429203374 Hair, J. F., Risher, J. J., Sarstedt, M., et al. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/ebr-11-2018-0203 Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. (2024). Advanced issues in partial least squares structural equation modeling (Second edition). Sage. Jungwirth, D., & Haluza, D. (2023). Artificial Intelligence and the Sustainable Development Goals: An Exploratory Study in the Context of the Society Domain. Journal of Software Engineering and Applications, 16(04), 91–112. https://doi.org/10.4236/jsea.2023.164006 Kamalov, F., Santandreu Calonge, D., & Gurrib, I. (2023). New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution. Sustainability, 15(16), 12451. https://doi.org/10.3390/su151612451 Leelavathi, R., & Surendhranatha, R. C. (2024). ChatGPT in the classroom: navigating the generative AI wave in management education. Journal of Research in Innovative Teaching & Learning. https://doi.org/10.1108/jrit-01-2024-0017 Lehtonen, M. (2020). Harder governance built on soft foundations: experience from OECD peer reviews. Journal of Environmental Policy & Planning, 22(6), 814–829. https://doi.org/10.1080/1523908x.2020.1793746 Olney, A. M., Chounta, I.-A., Liu, Z., et al. (2024). Artificial Intelligence in Education. In: Proceedings of 25th International Conference; 8–12 July 2024; Recife, Brazil. https://doi.org/10.1007/978-3-031-64302-6 Rashid Al-Shamsi, I., & Shannaq, B. (2024). Leveraging clustering techniques to drive sustainable economic innovation in the India–Gulf interchange. Cogent Social Sciences, 10(1). https://doi.org/10.1080/23311886.2024.2341483 Ratten, V., & Jones, P. (2023). Generative artificial intelligence (ChatGPT): Implications for management educators. The International Journal of Management Education, 21(3), 100857. https://doi.org/10.1016/j.ijme.2023.100857 Sadriwala, K. F., Shannaq, B., & Sadriwala, M. F. (2024). GCC Cross-National Comparative Study on Environmental, Social, and Governance (ESG) Metrics Performance and Its Direct Implications for Economic Development Outcomes. In: Awwad, B. (editor). The AI Revolution: Driving Business Innovation and Research. pp. 429–441. Segumpan, R. G., & McAlaney, J. (2023). Challenges and Reforms in Gulf Higher Education. Routledge. https://doi.org/10.4324/9781003457299 Shakir, M., Al Farsi, M. J., Al-Shamsi, I. R., Shannaq, B., & Ghilan Al-Madhagy, T.-H. (2024). The Influence of Mobile Information Systems Implementation on Enhancing Human Resource Performance Skills: An Applied Study in a Small Organization. International Journal of Interactive Mobile Technologies (iJIM), 18(13), 37–68. https://doi.org/10.3991/ijim.v18i13.47027 Shannaq, B. (2024). Unveiling the Nexus: Exploring TAM Components Influencing Professors’ Satisfaction With Smartphone Integration in Lectures: A Case Study From Oman. TEM Journal, 2365–2375. Portico. https://doi.org/10.18421/tem133-63 Shannaq, B. (2024b). Digital Formative Assessment as a Transformative Educational Technology. In: Arai, K. (editor). Advances in Information and Communication. Springer Nature Switzerland. pp. 471–481. https://doi.org/10.1007/978-3-031-54053-0_32 Shannaq, B. (2024c). Enhancing Human-Computer Interaction: An Interactive and Automotive Web Application - Digital Associative Tool for Improving Formulating Search Queries. In: Arai, K. (editor). Advances in Information and Communication. Springer Nature Switzerland. pp. 511–523. https://doi.org/10.1007/978-3-031-54053-0_35 Shannaq, B., & Al Shamsi, I. (2024). Integrating Digital Transformation: Analyzing New Technological Processes for Competitiveness and Growth Opportunities in the Oman Economy. In: Awwad, B. (editor). The AI Revolution: Driving Business Innovation and Research. Springer Nature Switzerland. pp. 443–454. https://doi.org/10.1007/978-3-031-54383-8_34. Shannaq, B., Adebiaye, R., Owusu, T., et al. (2024). An intelligent online human-computer interaction tool for adapting educational content to diverse learning capabilities across Arab cultures: Challenges and strategies. Journal of Infrastructure, Policy and Development, 8(9), 7172. https://doi.org/10.24294/jipd.v8i9.7172 Shannaq, B., Al Shamsi, I., & Abdul Majeed, S. N. (2019). Management Information System for Predicting Quantity Martials. TEM Journal, 1143–1149. Portico. https://doi.org/10.18421/tem84-06 Shannaq, B., Devarajanayaka, K. M., Shakir, M., et al. (2023). Generating an integrated SWOT strategy from the SERVQUAL survey results-the need for a comparative assessment of telecommunication companies in Oman. The second international conference on emerging technology trends in internet of things and computing, 3015, 020001. https://doi.org/10.1063/5.0188360 Shannaq, B., Saleem, I., & Shakir, M. (2024). Maximizing Market Impact: An In-Depth Analysis of the Market Penetration Strategy and Its Effective Tools for Sales Growth and Brand Expansion in the E-commerce Markets of Oman and Bahrain. In: Awwad, B. (editor). The AI Revolution: Driving Business Innovation and Research. Springer Nature Switzerland. pp. 277–291. https://doi.org/10.1007/978-3-031-54379-1_25 Syahrin, S., & Akmal, N. (2024). Navigating the Artificial Intelligence Frontier: Perceptions of Instructors, Students, and Administrative Staff on the Role of Artificial Intelligence in Education in the Sultanate of Oman. Arab World English Journal, 1(1), 73–89. https://doi.org/10.24093/awej/chatgpt.4 Wang, T. (2023). Navigating Generative AI (ChatGPT) in Higher Education: Opportunities and Challenges. Available online: https://link.springer.com/chapter/10.1007/978-981-99-5961-7_28 (accessed on 2 June 2024). Yusuf, A., Pervin, N., & Román-González, M. (2024). Generative AI and the future of higher education: a threat to academic integrity or reformation? Evidence from multicultural perspectives. International Journal of Educational Technology in Higher Education, 21(1). https://doi.org/10.1186/s41239-024-00453-6



DOI: https://doi.org/10.24294/jipd.v8i11.8532

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Ibrahim Alshamsi, Kaneez Fatima Sadriwala, Fouad Jameel Ibrahim Alazzawi, Boumedyen Shannaq

License URL: https://creativecommons.org/licenses/by/4.0/

This site is licensed under a Creative Commons Attribution 4.0 International License.