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Technology Group Research Article Article ID: igmin151

From Traditionalism to Algorithms: Embracing Artificial Intelligence for Effective University Teaching and Learning

Educational Technology
Abdulrahman M Al-Zahrani *
Affiliation

Affiliation

    University of Jeddah, Jeddah, Saudi Arabia

DOI10.61927/igmin151 Fulltext HTML Fulltext PDF Cite this article
DOI10.61927/igmin151 Fulltext HTML Fulltext PDF Cite this article

Abstract

The current study examines the impact of integrating artificial intelligence (AI) in higher education in Saudi Arabia, specifically focusing on the roles of university teachers and students’ learning outcomes. It investigates the transformation of teaching practices, and the challenges faced by university teachers during AI integration, and identifies opportunities for collaboration and innovation. A quantitative research method using a survey questionnaire was employed to gather data and inform practical recommendations. The findings indicate that university teachers recognize the potential benefits of AI in education, but also highlight the need to address challenges for effective implementation. Participants perceive AI as a tool that enables more creative and engaging teaching methods, automates tasks, and brings about changes in teaching approaches. Difficulties in utilizing AI effectively and adapting to new teaching methods were identified. AI also offers opportunities for innovation, collaboration, and creating engaging learning environments. There were slight variations in perspectives based on gender and current role, with female university teachers and teaching assistants/professors perceiving higher impact and opportunities for collaboration and innovation. Participants with higher AI expertise perceived a greater impact of AI and fewer challenges. Those who aligned with the educational purposes of AI saw greater impact and opportunities for collaboration while acknowledging usage difficulties.

References

    1. Al-Zahrani AM. The impact of generative AI tools on researchers and research: Implications for academia in higher education. Innovations in Education and Teaching International. 2023; 1-15. https://doi.org/10.1080/14703297.2023.2271445
    2. Dilmurod R, Fazliddin A. Prospects for the introduction of artificial intelligence technologies in higher education. Academicia: an international multidisciplinary research journal. 2021; 11(2): 929-934. https://doi.org/10.5958/2249-7137.2021.00468.7
    3. Luan H, Geczy P, Lai H, Gobert J, Yang SJH, Ogata H, Baltes J, Guerra R, Li P, Tsai CC. Challenges and Future Directions of Big Data and Artificial Intelligence in Education. Front Psychol. 2020 Oct 19;11:580820. doi: 10.3389/fpsyg.2020.580820. PMID: 33192896; PMCID: PMC7604529.
    4. Popenici SAD, Kerr S. Exploring the impact of artificial intelligence on teaching and learning in higher education. Res Pract Technol Enhanc Learn. 2017;12(1):22. doi: 10.1186/s41039-017-0062-8. Epub 2017 Nov 23. PMID: 30595727; PMCID: PMC6294271.
    5. Tomar P, Verma S. Impact and Role of AI Technologies in Teaching, Learning, and Research in Higher Education. In S Verma & P Tomar (Eds.), Impact of AI Technologies on Teaching, Learning, and Research in Higher Education . IGI Global. 2021; 190-203. https://doi.org/10.4018/978-1-7998-4763-2.ch012
    6. Wang C. The Value Orientation of University teachers' Role in Artificial Intelligence Teaching Environment Based on Information Technology 2021 4th International Conference on Information Systems and Computer Aided Education, Dalian, China. 2021. https://doi.org/10.1145/3482632.3483059
    7. Asthana P, Hazela B. Applications of Machine Learning in Improving Learning Environment. In S Tanwar, S Tyagi, & N Kumar (Eds.), Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms and Solutions. Springer Singapore. 2020; 417-433. https://doi.org/10.1007/978-981-13-8759-3_16
    8. Celik I, Dindar M, Muukkonen H, Järvelä S. The Promises and Challenges of Artificial Intelligence for University teachers: a Systematic Review of Research. TechTrends. 2022; 66(4): 616-630. https://doi.org/10.1007/s11528-022-00715-y
    9. Shen L, Su A. The Changing Roles of University teachers with AI. In M. Habib (Ed.), Revolutionizing Education in the Age of AI and Machine Learning. 2020; 1-25. IGI Global. https://doi.org/10.4018/978-1-5225-7793-5.ch001
    10. Liu J, Wang S. The change of university teachers’ role in teaching under the environment of “Artificial Intelligence +”. 2020 International Conference on Artificial Intelligence and Education (ICAIE). 2020. Doi: 1109/ICAIE50891.2020.00030
    11. Gu R, Xi Z, Lin B, Ji Y. Teacher-guided Autonomous Learning Enabled by Artificial Intelligence Empowered Remote Experiment Platform. 2022 IEEE Global Engineering Education Conference (EDUCON). 2022. https://doi.org/10.1109/EDUCON52537.2022.9766531
    12. Yu D, Ding M, Li W, Wang L, Liang B. Designing an Artificial Intelligence Platform to Assist Undergraduate in Art and Design to Develop a Personal Learning Plans. In A. Marcus & W. Wang (Eds.), Design, User Experience, and Usability. Application Domains Springer International Publishing. 2019; 528-538. https://doi.org/10.1007/978-3-030-23538-3_41
    13. Chaiyarak S, Nilsook P, Wannapiroon P. An empirical study of intelligent virtual universal learning platforms. 2021 Research, Invention, and Innovation Congress: Innovation Electricals and Electronics (RI2C). 2021; https://doi.org/10.1109/RI2C51727.2021.9559785
    14. Khurana A, Lohani BP, Bibhu V. AI Frame-Worked Virtual World Application - The Ramification of Virtual World on Real World. 2019 International Conference on Automation, Computational and Technology Management (ICACTM). 2019.
    15. Bisen IE, Arslan EA, Yildirim K, Yildirim Y. Artificial Intelligence and Machine Learning in Higher Education. In Z. Gulzar & A. A. Leema (Eds.), Machine Learning Approaches for Improvising Modern Learning Systems. 2021; 1-17. IGI Global. https://doi.org/10.4018/978-1-7998-5009-0.ch001
    16. Lameras P, Arnab S. Power to the University teachers: An Exploratory Review on Artificial Intelligence in Education. Information. 2022; 13(1): 14. https://www.mdpi.com/2078-2489/13/1/14
    17. Carnegie Mellon University (CMU) (2021). Learning is more effective when active. ScienceDaily. 2023. www.sciencedaily.com/releases/2021/09/210930140710.htm
    18. Seo K, Tang J, Roll I, Fels S, Yoon D. The impact of artificial intelligence on learner-instructor interaction in online learning. Int J Educ Technol High Educ. 2021;18(1):54. doi: 10.1186/s41239-021-00292-9. Epub 2021 Oct 26. PMID: 34778540; PMCID: PMC8545464.
    19. (2023) Engaging with AI in your education and assessment. Students. https://www.ucl.ac.uk/students/exams-and-assessments/assessment-success-guide/engaging-ai-your-education-and-assessment
    20. Anantrasirichai N, Bull D. Artificial intelligence in the creative industries: a review. Artificial Intelligence Review. 2021; 55(1): 589–656. https://doi.org/10.1007/s10462-021-10039-7
    21. Halina M. Insightful artificial intelligence. Mind & Language. 2021; 36(2): 315–329. https://doi.org/10.1111/mila.12321
    22. Li S, Ren X, Schweizer K, Brinthaupt TM, Wang T. Executive functions as predictors of critical thinking: Behavioral and neural evidence. Learning and Instruction. 2021; 71: 101376. https://doi.org/10.1016/j.learninstruc.2020.101376
    23. Suh M, Youngblom E, Terry M, Cai CJ. AI as Social Glue: Uncovering the Roles of Deep Generative AI during Social Music Composition. 2021; https://doi.org/10.1145/3411764.3445219
    24. UNESCO (2023). Artificial intelligence in education. https://www.unesco.org/en/digital-education/artificial-intelligence
    25. World Economic Forum (WEF) (2021). Should universities be worried about the increasing capabilities of AI? https://www.weforum.org/agenda/2021/11/artificial-intelligence-writing-universities-plagiarism/
    26. Bradbeer C. “Innovative” Teacher Collaboration in (Elementary) Innovative Learning Environments (ILEs): Products and Potential. In M. A. Peters & R. Heraud (Eds.), Encyclopedia of Educational Innovation. Springer Singapore. 2020. https://doi.org/10.1007/978-981-13-2262-4_193-1
    27. Kitchen J, Berry M, Russell T. The Power of Collaboration. Studying Teacher Education. 2019; 15(2): 93-97. https://doi.org/10.1080/17425964.2019.1628560
    28. Mollick ER, Mollick L. New Modes of Learning Enabled by AI Chatbots: Three Methods and Assignments. Social Science Research Network. 2022. https://doi.org/10.2139/ssrn.4300783
    29. Stanford/Teaching Commons (STC) (2023). Technology-enhanced, Policy, Artificial Intelligence (AI): AI Tools in Teaching and Learning. https://teachingcommons.stanford.edu/news/ai-tools-teaching-and-learning
    30. UCLA Center for the Advancement of Teaching. (2023.). Guidance for the Use of Generative AI. https://teaching.ucla.edu/resources/ai_guidance/
    31. Huang J, Saleh S, Liu Y. A Review on Artificial Intelligence in Education. Academic Journal of Interdisciplinary Studies. 2021; 10(3): 206. https://doi.org/10.36941/ajis-2021-0077

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