Artificial Intelligence (AI) in Higher Education: A Threat or Helping Hand in Improving Student-Instructor Communication
DOI:
https://doi.org/10.47604/ijcpr.2987Keywords:
Artificial Intelligence, Higher Education, Threats, Benefit, CommunicationAbstract
Purpose: The study aims to summarize current discussions among educational stakeholders regarding the potential benefits and threats posed by Artificial Intelligence.
Methodology: In conducting comprehensive and systematic review, the study utilized the PRISMA flowchart and included only articles published between January 2020 and July 2024. The focus was strictly on peer-reviewed articles, with conference papers, dissertations, and other types of papers excluded. Data was sourced exclusively from EBSCOhost and Google Scholar. Additionally, only articles centered on the higher education industry were considered.
Findings: The findings of this study reveal ongoing debates among educational stakeholders regarding the threats and benefits of AI models. It explains how AI is transforming academic environments by offering personalized learning experiences, enhancing learning outcomes, and increasing student engagement. However, concerns about data privacy have also emerged. To eliminate these concerns, the study recommends the introduction of consent forms that give users the option to allow or deny the use of their data for AI training.
Unique Contribution to Theory, Practice and Policy: The study contributes to the ongoing debates by grounding its analysis in Sociotechnical Systems Theory (STS), emphasizing the need for a human-centered approach in AI adoption. This offers a holistic perspective on how educational institutions can implement AI effectively while addressing stakeholder concerns about privacy and control over data, making it a valuable resource for both academic and policy discussions surrounding AI in education.
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Abbas, N., Ali, I., Manzoor, R., Hussain, T., & Hussain, M. H. (2023). Role of artificial intelligence tools in enhancing students’ educational performance at higher levels. Journal of Artificial Intelligence, Machine Learning and Neural Network, (35), 36–49. https://doi.org/10.55529/jaimlnn.35.36.49
Ahmad, S. F., Han, H., Alam, M. M., Rehmat, Mohd. K., Irshad, M., Arraño-Muñoz, M., & Ariza-Montes, A. (2023). Impact of artificial intelligence on human loss in decision making, Laziness and Safety in Education. Humanities and Social Sciences Communications, 10(1). https://doi.org/10.1057/s41599-023-01787-8
Ajani, Y. A., Tella, A., Salawu, K. Y., & Abdullahi, F. (2022). Perspectives of Librarians on Awareness and Readiness of Academic Libraries to Integrate Artificial Intelligence for Library Operations and Services in Nigeria. Internet Reference Services Quarterly, 26(4), 213–230. https://doi.org/10.1080/10875301.2022.2086196
Alexander, K., Savvidou, C., & Alexander, C. (2023). Who authored this essay? Detecting ai-generated writing in second language education in higher education. Teaching English with Technology, 2023(2). https://doi.org/10.56297/BUKA4060/XHLD5365
Alotaibi, N. S., & Alshehri, A. H. (2023a). Prospers and Obstacles in Using Artificial Intelligence in Saudi Arabia Higher Education Institutions—The Potential of AI-Based Learning Outcomes. Sustainability, 15(13), 10723. https://doi.org/10.3390/su151310723
Alotaibi, N. S., & Alshehri, A. H. (2023b). Prospers and Obstacles in Using Artificial Intelligence in Saudi Arabia Higher Education Institutions—The Potential of AI-Based Learning Outcomes. Sustainability, 15(13), 10723. https://doi.org/10.3390/su151310723
Alrayes, A., Henari, T. F., & Ahmed, D. A. (2024). ChatGPT in Education – Understanding the Bahraini Academics Perspective. Electronic Journal of E-Learning, 22(2), 112–134. https://doi.org/10.34190/ejel.22.2.3250
Alshahrani, B. T., Pileggi, S. F., & Karimi, F. (2024). A Social Perspective on AI in the Higher Education System: A Semisystematic Literature Review. Electronics, 13(8), 1572. https://doi.org/10.3390/electronics13081572
Alzahrani, M. (2022). Traditional Learning Compared to Online Learning During the COVID-19 Pandemic: Lessons Learned from Faculty’s Perspectives. SAGE Open, 12(2), 215824402210917. https://doi.org/10.1177/21582440221091720
August, S. E., & Tsaima, A. (2021). Artificial Intelligence and machine learning: An instructor’s exoskeleton in the future of Education. Springer Briefs in Statistics, 79–105. https://doi.org/10.1007/978-3-030-58948-6_5
Bates, T., Cobo, C., Mariño, O., & Wheeler, S. (2020). Can artificial intelligence transform higher education? International Journal of Educational Technology in Higher Education, 17(1), 42, s41239-020-00218–x. https://doi.org/10.1186/s41239-020-00218-x
Carabantes, D., González-Geraldo, J. L., & Jover, G. (2023). ChatGPT could be the reviewer of your next scientific paper. Evidence on the limits of AI-assisted academic reviews. El Profesional de La Información, e320516. https://doi.org/10.3145/epi.2023.sep.16
Chen, H., & Su, J. (2022). Construction and application of the College Smart Party-building platform integrating Artificial Intelligence and internet technology. Scientific Programming, 2022, 1–9. https://doi.org/10.1155/2022/8569301
Chen, X., Xie, H., & Hwang, G.-J. (2020). A multi-perspective study on Artificial Intelligence in Education: Grants, conferences, journals, software tools, institutions, and researchers. Computers and Education: Artificial Intelligence, 1, 100005. https://doi.org/10.1016/j.caeai.2020.100005
Cheng, C.-F., Huang, C.-C., Lin, M.-C., & Chen, T.-C. (2023). Exploring the Effectiveness of Relationship Marketing on Artificial Intelligence Adopting Intention. SAGE Open, 13(4), 21582440231222760. https://doi.org/10.1177/21582440231222760
Fan, K. Y., Hu, R., & Singla, R. (2020). Introductory machine learning for medical students: A pilot. Medical Education, 54(11), 1042–1043. https://doi.org/10.1111/medu.14318
Friederichs, H., Friederichs, W. J., & März, M. (2023). ChatGPT in medical school: How successful is AI in progress testing? Medical Education Online, 28(1), 2220920. https://doi.org/10.1080/10872981.2023.2220920
George, B., & Wooden, O. (2023). Managing the Strategic Transformation of Higher Education through Artificial Intelligence. Administrative Sciences, 13(9), 196. https://doi.org/10.3390/admsci13090196
Hinojo-Lucena, F.-J., Aznar-Díaz, I., Cáceres-Reche, M.-P., & Romero-Rodríguez, J.-M. (2019). Artificial Intelligence in Higher Education: A Bibliometric Study on its Impact in Scientific Literature. Education Sciences, 9(1), 51. https://doi.org/10.3390/educsci9010051
Jianbang, G., & Changxin, S. (2021). Real-time monitoring of physical education classrooms in colleges and universities based on open IoT and cloud computing. Journal of Intelligent & Fuzzy Systems, 40(4), 7397–7409. https://doi.org/10.3233/JIFS-189563
Jiang, B. (n.d.). Research on The Application of Chinese Traditional Culture Teaching in Higher Vocational Education.
Jeladze, E., & Pata, K. (2018). Smart, digitally enhanced learning ecosystems: Bottlenecks to sustainability in Georgia. Sustainability, 10(8), 2672. https://doi.org/10.3390/su10082672
Kamalov, F., Calong, D. S., & Gurrib, I. (2023). New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution (No. arXiv:2305.18303). arXiv. http://arxiv.org/abs/2305.18303
Kanont, K., Pingmuang, P., Simasathien, T., Wisnuwong, S., Wiwatsiripong, B., Poonpirome, K., Songkram, N., & Khlaisang, J. (2024). Generative-AI, a Learning Assistant? Factors Influencing Higher-Ed Students’ Technology Acceptance. Electronic Journal of E-Learning, 22(6), 18–33. https://doi.org/10.34190/ejel.22.6.3196
Karimi, H., & Khawaja, S. (2023). The impact of artificial intelligence on Higher Education in England. Creative Education, 14(12), 2405–2415. https://doi.org/10.4236/ce.2023.1412154
Khawaja, S., & Karimi, H. (2024). AI in English Higher Education: Balancing Innovation with Equity Challenges and Opportunities. In Dr. V. Mîndrescu (Ed.), An Overview of Literature, Language and Education Research Vol. 3 (pp. 55–66). B P International. https://doi.org/10.9734/bpi/aoller/v3/1147
Köbis, L., & Mehner, C. (2021). Ethical Questions Raised by AI-Supported Mentoring in Higher Education. Frontiers in Artificial Intelligence, 4, 624050. https://doi.org/10.3389/frai.2021.624050
Li, F., Gu, L., & Xu, H. (2022). [Retracted] the Mining Method of Ideological and Political Elements in University Public Mental Health Courses Based on Artificial Intelligence Technology. Journal of Environmental and Public Health, 2022(1), 2829974. https://doi.org/10.1155/2022/2829974
Li, S., Wang, C., & Wang, Y. (2024). Fuzzy evaluation model for physical education teaching methods in colleges and universities using artificial intelligence. Scientific Reports, 14(1), 4788. https://doi.org/10.1038/s41598-024-53177-y
Melnyk, B. M., & Fineout-Overholt, E. (2019). Evidence-based practice in nursing & healthcare: a guide to best practice. Fourth edition. Philadelphia, Wolters Kluwer.
Memarian, B., & Doleck, T. (2023). Fairness, Accountability, Transparency, and Ethics (FATE) in Artificial Intelligence (AI) and higher education: A systematic review. Computers and Education: Artificial Intelligence, 5, 100152. https://doi.org/10.1016/j.caeai.2023.100152
Moscardini, A. O., Strachan, R., & Vlasova, T. (2022). The role of universities in modern society. Studies in Higher Education, 47(4), 812–830. https://doi.org/10.1080/03075079.2020.1807493
Mou, X. (2019). Artificial Intelligence: Investment Trends and Selected Industry Uses. International Finance Corporation, Washington, DC. https://doi.org/10.1596/32652
Nassoura, A. B. (2022). Applied Artificial Intelligence Applications in Higher Education Institutions: A Systematic Review. 19(3).
Navarro-Bringas, E., Bowles, G., & Walker, G. H. (2020). Embracing complexity: A sociotechnical systems approach for the design and evaluation of Higher Education Learning Environments. Theoretical Issues in Ergonomics Science, 21(5), 595–613. https://doi.org/10.1080/1463922x.2020.1723037
Nazaretsky, T., Ariely, M., Cukurova, M., & Alexandron, G. (2022). Teachers’ trust in AI ‐powered educational technology and a professional development program to improve it. British Journal of Educational Technology, 53(4), 914–931. https://doi.org/10.1111/bjet.13232
Perkins, M. (2023). Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond. Journal of University Teaching and Learning Practice, 20(2). https://doi.org/10.53761/1.20.02.07
Polat, H., Topuz, A. C., Yıldız, M., Taşlıbeyaz, E., & Kurşun, E. (2024). A Bibliometric Analysis of Research on ChatGPT in Education. International Journal of Technology in Education, 7(1), 59–85. https://doi.org/10.46328/ijte.606
Reiss, M. J. (2021). The use of AI in education: Practicalities and ethical considerations. London Review of Education, 19(1). https://doi.org/10.14324/LRE.19.1.05
Ropohl, G. (1999). Philosophy of Socio-Technical Systems. PHIL & TECH, 4, 186–194.
Saaida, M. B. E. (n.d.). AI-Driven transformations in higher education: Opportunities and challenges.
Soraya, S. Z. (n.d.). Ethical AI Learning and Social Skill Enhancement in Higher Education: A Systematic Review.
Sosa-Díaz, M. J., Sierra-Daza, M. C., Arriazu-Muñoz, R., Llamas-Salguero, F., & Durán-Rodríguez, N. (2022). “Edtech Integration Framework in schools”: Systematic review of the literature. Frontiers in Education, 7. https://doi.org/10.3389/feduc.2022.895042
Sumakul, D. T., Hamied, F. A., & Sukyadi, D. (2022). Students’ perceptions of the use of AI in a writing class. Advances in Social Science, Education and Humanities Research. https://doi.org/10.2991/assehr.k.220201.009.
Thái, D. T., Quỳnh, H. T., & Linh, P. T. (2021). Digital Transformation in higher education: an integrative review approach. TNU Journal of Science and Technology, 226(09), 139–146. https://doi.org/10.34238/tnu-jst.4366
Teng, Y., Zhang, J., & Sun, T. (2023). Data‐driven decision‐making model based on artificial intelligence in higher education system of colleges and universities. Expert Systems, 40(4), e12820. https://doi.org/10.1111/exsy.12820
Toli, L. (2023). The impact of ai technology on higher education in India: revolutionizing learning and empowering students. 12(10).
Tsou, C. (2024). Implementing Artificial Intelligence (AI) in Higher Education: A Narrative Literature Review. The Interdisplinary of Journal Student Success.
Upadhyaya, K. T., & Mallik, D. (2013). E-learning as a socio-technical system: An insight into factors influencing its effectiveness. Business Perspectives and Research, 2(1), 1–12. https://doi.org/10.1177/2278533720130101
Vargas-Murillo, A. R., Pari-Bedoya, I. N. M. D. L. A., & Guevara-Soto, F. D. J. (2023). Challenges and Opportunities of AI-Assisted Learning: A Systematic Literature Review on the Impact of ChatGPT Usage in Higher Education. International Journal of Learning, Teaching and Educational Research, 22(7), 122–135. https://doi.org/10.26803/ijlter.22.7.7
Xia, Z., & Liu, J. (2022). Teaching Innovation and Development of Ideological and Political Courses in Colleges and Universities: Based on the Background of Wireless Communication and Artificial Intelligence Decision Making. Mathematical Problems in Engineering, 2022, 1–8. https://doi.org/10.1155/2022/3768224
Yao, G. (2022). Application of Higher Education Management in Colleges and Universities by Deep Learning. Computational Intelligence and Neuroscience, 2022, 1–9. https://doi.org/10.1155/2022/7295198
Van Horn, K. (2024). Chatgpt in English language learning: Exploring perceptions and promoting autonomy in a university EFL context. Teaching English as a Second or Foreign Language--TESL-EJ, 28(1). https://doi.org/10.55593/ej.28109a8
Zhu, Y. (2021). Research on English teaching of professional skilled talents training based on Artificial Intelligence. Journal of Intelligent & Fuzzy Systems, 1–12. https://doi.org/10.3233/jifs-219162
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Copyright (c) 2024 Abidemi Oluwafunmilayo Alade , Mariam Yetude Aduwape
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