AI and higher education: Understanding faculty roles in teaching, research, and administration

Filomachi Spathopoulou; Konstantinos M. Pitychoutis; Stavros Papakonstantinidis

doi:10.30935/cedtech/17406

Filomachi Spathopoulou ¹ ^* , Konstantinos M. Pitychoutis ¹, Stavros Papakonstantinidis ²

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CONT ED TECHNOLOGY, Volume 17, Issue 4, Article No: ep600

https://doi.org/10.30935/cedtech/17406

Submitted: 16 April 2025, Published Online: 10 November 2025

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Abstract

The rapid advancement of artificial intelligence (AI) is transforming higher education, impacting pedagogical practices, administrative processes, and faculty engagement with technology. While AI holds promise to enhance learning and streamlining operations, its adoption remains complex and debated. This study examines faculty perceptions of AI integration, focusing on factors such as teaching experience, institutional context, and disciplinary specialization. Using a quantitative survey, the research explores AI engagement across institutions and disciplines, analyzing how demographic factors influence adoption. Findings suggest that junior faculty and those in technology-driven environments demonstrate higher AI confidence and adoption, whereas senior faculty engage in AI leadership yet express skepticism about its pedagogical applications. Disciplinary differences reveal that faculty in content-based fields view AI as a teaching tool, while those in applied disciplines utilize it more strategically for administrative and leadership functions. The study also addresses ethical and institutional challenges, including concerns over data privacy, algorithmic bias, and institutional readiness. By identifying these barriers, the research highlights strategies for fostering AI literacy, professional development, and ethical implementation in higher education. This study contributes to the discourse on AI in academia by presenting an educator-centered perspective, bridging the gap between technological advancement and pedagogical practice. The findings provide academic leaders and policymakers with insights on creating AI-inclusive environments that align with faculty needs, uphold ethical standards, and enhance student learning outcomes.

Keywords: artificial intelligence, faculty perceptions, pedagogical practices, AI adoption, ethical challenges, institutional readiness

References

Adeleye, O. O., Eden, C. A., & Adeniyi, I. S. (2024). Innovative teaching methodologies in the era of artificial intelligence: A review of inclusive educational practices. World Journal of Advanced Engineering Technology and Sciences, 11(2), 69–79. https://doi.org/10.30574/wjaets.2024.11.2.0091
Ahmad, W., Azam, T., Arshad, M., Ahmed, B., & Zaman, H. M. F. (2023). Faculty members’ perception of learning organization: A case of higher education institutions. Sage Open, 13(1). https://doi.org/10.1177/21582440231154409
Akavova, A., Temirkhanova, Z., & Lorsanova, Z. (2023). Adaptive learning and artificial intelligence in the educational space. E3S Web of Conferences, 451, Article 06011. https://doi.org/10.1051/e3sconf/202345106011
Akgün, S., & Greenhow, C. (2021). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2, 431–440. https://doi.org/10.1007/s43681-021-00096-7
Albaqami, S. E., & Alzahrani, D. (2022). Transition to online EFL teaching in Saudi Arabian universities during the COVID-19 outbreak. Arab World English Journal, (Second Special Issue on COVID-19 Challenges), 216–232. https://doi.org/10.24093/awej/covid2.14
Alenezi, F. Y. (2023). Artificial intelligence versus Arab universities: An enquiry into the Saudi context. Humanities and Management Sciences–Scientific Journal of King Faisal University, 24(1). https://doi.org/10.37575/h/edu/220038
Alet, J. (2023). Effective integration of artificial intelligence: Key axes for business strategy. Journal of Business Strategy, 45(2), 107–114. https://doi.org/10.1108/jbs-01-2023-0005
Ali, M. Y., Naeem, S. B., Bhatti, R., & Richardson, J. (2024). Artificial intelligence application in university libraries of Pakistan: SWOT analysis and implications. Global Knowledge, Memory, and Communication, 73(1/2), 219–234. https://doi.org/10.1108/gkmc-12-2021-0203
Alnasib, B. N. M. (2023). Factors affecting faculty members’ readiness to integrate artificial intelligence into their teaching practices: A study from the Saudi higher education context. International Journal of Learning, Teaching, and Educational Research, 22(8), 465–491. https://doi.org/10.26803/ijlter.22.8.24
Alshatti Schmidt, D., Alboloushi, B., Thomas, A., & Magalhães, R. (2025). Integrating artificial intelligence in higher education: Perceptions, challenges, and strategies for academic innovation. Computers and Education Open, 9, Article 100274. https://doi.org/10.1016/j.caeo.2025.100274
Aparicio-Gómez, O., Aparicio-Gómez, W. (2024). Consideraciones éticas para el uso académico de sistemas de inteligencia artificial [Ethical considerations for the academic use of artificial intelligence systems]. Revista Internacional de Filosofía Teórica Y Práctica, 4(1), 175–198. https://doi.org/10.51660/riftp.v4i1.95
Asirit, L. B. L., & Hua, J. H. (2023). Converging perspectives: Assessing AI readiness and utilization in Philippine higher education. Polaris Global Journal of Scholarly Research and Trends, 2(3), 1–50. https://doi.org/10.58429/pgjsrt.v2n3a152
Baker, R. S., & Hawn, A. (2022). Algorithmic bias in education. International Journal of Artificial Intelligence in Education, 32(4), 1052–1092. https://doi.org/10.1007/s40593-021-00285-9
Barsha, S., & Munshi, S. A. (2023). Implementing artificial intelligence in library services: A review of current prospects and challenges of developing countries. Library Hi Tech News, 41(1), 7–10. https://doi.org/10.1108/lhtn-07-2023-0126
Blease, C., Kaptchuk, T. J., Bernstein, M. H., Mandl, K. D., Halamka, J. D., & DesRoches, C. M. (2019). Artificial intelligence and the future of primary care: Exploratory qualitative study of UK general practitioners’ views. Journal of Medical Internet Research, 21(3), Article e12802. https://doi.org/10.2196/12802
Bogina, V., Hartman, A., Kuflik, T., & Shulner-Tal, A. (2021). Educating software and AI stakeholders about algorithmic fairness, accountability, transparency, and ethics. International Journal of Artificial Intelligence in Education, 32, 808–833. https://doi.org/10.1007/s40593-021-00248-0
Chao, P., Hsu, T., Liu, T., & Cheng, Y. (2021). Knowledge of and competence in artificial intelligence: Perspectives of Vietnamese digital-native students. IEEE Access, 9, 75751–75760. https://doi.org/10.1109/access.2021.3081749
Chemlal, Y., & Azzouazi, M. (2023). Fostering sustainable development through artificial intelligence in education (ESD): A comprehensive evaluation framework and key criteria analysis. Research Square. https://doi.org/10.21203/rs.3.rs-3372485/v1
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/access.2020.2988510
Chen, W.-Y. (2024). Intelligent tutor: Leveraging ChatGPT and Microsoft Copilot Studio to deliver a generative AI student support and feedback system within teams. arXiv. https://doi.org/10.48550/arXiv.2405.13024
Dai, Y., Lin, Z., Liu, A., Dai, D., & Wang, W. (2023). Effect of an analogy-based approach of artificial intelligence pedagogy in upper primary schools. Journal of Educational Computing Research, 61(8), 159–186. https://doi.org/10.1177/07356331231201342
Delgado, N., Carrasco, L. C., Maza, M. S., & Etxabe-Urbieta, J. M. (2024). Application of artificial intelligence (AI) in education: Benefits and limitations of AI as perceived by primary, secondary, and higher education teacher. Revista Electronica Interuniversitaria de Formacion del Profesorado, 27(1), 207–224. https://doi.org/10.6018/reifop.577211
Eden, C. A., Chisom, O. N., Adeniyi, I. S. (2024). Integrating AI in education: Opportunities, challenges, and ethical considerations. Magna Scientia Advanced Research and Reviews, 10(2), 6–13. https://doi.org/10.30574/msarr.2024.10.2.0039
Fenu, G., Galici, R., Marras, M. (2022). Experts’ view on challenges and needs for fairness in artificial intelligence for education. In M. M. Rodrigo, N. Matsuda, A. I. Cristea, & V. Dimitrova (Eds.), Artificial intelligence in education. AIED 2022. Lecture notes in computer science, vol 13355 (pp. 243–255). Springer. https://doi.org/10.1007/978-3-031-11644-5_20
Ferrara, E. (2024). Fairness and bias in artificial intelligence: A brief survey of sources, impacts, and mitigation strategies. Sci, 6(1), 3. https://doi.org/10.3390/sci6010003
Fu, S., Gu, H., & Yang, B. (2020). The affordances of AI-enabled automatic scoring applications on learners’ continuous learning intention: An empirical study in China. British Journal of Educational Technology, 51(5), 1674–1692. https://doi.org/10.1111/bjet.12995
Haresamudram, K., Larsson, S., & Heintz, F. (2023). Three levels of AI transparency. Computer, 56(2), 93–100. https://doi.org/10.1109/mc.2022.3213181
Hergan, K., Zinterhof, P., Abed, S., Schörghofer, N., Knapitsch, C., Sommer, O., Meissnitzer, M., & Schlattau, A. (2022). Challenges implementing and running an AI-lab: Experience and literature review. Biomedical Journal of Scientific & Technical Research, 45(4). https://doi.org/10.26717/bjstr.2022.45.007222
Hopcan, S., Türkmen, G., & Polat, E. (2023). Exploring the artificial intelligence anxiety and machine learning attitudes of teacher candidates. Education and Information Technologies, 29, 7281–7301. http://doi.org/10.1007/s10639-023-12086-9
How, M., & Hung, W. L. D. (2019). Educing AI-thinking in science, technology, engineering, arts, and mathematics (STEAM) education. Education Sciences, 9(3). https://doi.org/10.3390/educsci9030184
Hutson, J., Jeevanjee, T., Graaf, V. V., Lively, J., Weber, J., Weir, G., Arnone, K., Carnes, G., Vosevich, K., Plate, D., Leary, M., & Edele, S. (2022). Artificial intelligence and the disruption of higher education: Strategies for integrations across disciplines. Creative Education, 13(12), 3953–3980. https://doi.org/10.4236/ce.2022.1312253
Iglesias, A., Martínez, P., Aler, R., & Fernández, F. (2008). Learning teaching strategies in an adaptive and intelligent educational system through reinforcement learning. Applied Intelligence, 31, 89–106. https://doi.org/10.1007/s10489-008-0115-1
Ioku, T., Kondo, S., & Watanabe, Y. (2024). Acceptance of generative AI in higher education: A latent profile analysis of policy guidelines. Research Square. https://doi.org/10.21203/rs.3.rs-4515787/v1
Jin, S., Im, K., Yoo, M., Roll, I., & Seo, K. (2023). Supporting students’ self-regulated learning in online learning using artificial intelligence applications. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00406-5
Jo, H., & Bang, Y. (2023). Analyzing ChatGPT adoption drivers with the TOEK framework. Scientific Reports, 13, Article 22606. https://doi.org/10.1038/s41598-023-49710-0
Kar, S., Kar, A. K., & Gupta, M. P. (2021). Modeling drivers and barriers of artificial intelligence adoption: Insights from a strategic management perspective. Intelligent Systems in Accounting, Finance & Management, 28(4), 217–238. https://doi.org/10.1002/isaf.1503
Karan, B., & Angadi, G. R. (2023). Potential risks of artificial intelligence integration into school education: A systematic review. Bulletin of Science, Technology & Society, 43(3–4), 67–85. https://doi.org/10.1177/02704676231224705
Karkoulian, S., Sayegh, N. & Sayegh, N. (2025). ChatGPT unveiled: Understanding perceptions of academic integrity in higher education – A qualitative approach. Journal of Academic Ethics, 23, 1171–1188. https://doi.org/10.1007/s10805-024-09543-6
Lanang Triana, I. K. D., Agustina, P. D. C., Febrian, R., Wiadnya, I. D. G. P., & Paramarta, V. (2024). Role of artificial intelligence in developing hospital information management systems. JMMR Jurnal Medicoeticolegal Dan Manajemen Rumah Sakit, 13(1), 130–141. https://doi.org/10.18196/jmmr.v13i1.127
Lee, D., Kim, H., & Sung, S. (2022). Development research on an AI English learning support system to facilitate learner-generated-context-based learning. Educational Technology Research and Development, 71, 629–666. https://doi.org/10.1007/s11423-022-10172-2
Lin, H. (2022). Influences of artificial intelligence in education on teaching effectiveness: The mediating effect of teachers’ perceptions of educational technology. International Journal of Emerging Technologies in Learning, 17(24), 144–156. https://doi.org/10.3991/ijet.v17i24.36037
Lin, J., Sha, L., Li, Y., Gašević, D., & Chen, G. (2022). Establishing trustworthy artificial intelligence in automated feedback. EdArXiv. https://doi.org/10.35542/osf.io/5efxn
Luckin, R., & Cukurova, M. (2019). Designing educational technologies in the age of AI: A learning sciences-driven approach. British Journal of Educational Technology, 50(6), 2824–2838. https://doi.org/10.1111/bjet.12861
Lukianets, H., & Lukianets, T. (2023). Promises and perils of AI use on the tertiary educational level. Grail of Science, 25, 306–311. https://doi.org/10.36074/grail-of-science.17.03.2023.053
Memon, S. S., Murad, S., Shah, S. A. R., Iqbal, Z., Saeed, R., & Abid, J. (2023). Perception about artificial intelligence in medical education. Pakistan Journal of Medical and Health Sciences, 17(3), 419–420. https://doi.org/10.53350/pjmhs2023173419
Miao, Y., Jong, M. S., & Dai, Y. (2022). Pedagogical design of K-12 artificial intelligence education: A systematic review. Sustainability, 14(23), Article 15620. https://doi.org/10.3390/su142315620
Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A new framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x
Murtaza, M., Ahmed, Y., Shamsi, J. A., Sherwani, F., & Usman, M. (2022). AI-based personalized e-learning systems: Issues, challenges, and solutions. IEEE Access, 10, 81323–81342. https://doi.org/10.1109/access.2022.3193938
Ng, D. T. K., Tan, C. W., & Leung, J. K. L. (2024). Empowering student self-regulated learning and science education through CHATGPT: A pioneering pilot study. British Journal of Educational Technology, 55(4), 1328–1353. https://doi.org/10.1111/bjet.13454
Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B. (2023). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28, 4221–4241. https://doi.org/10.1007/s10639-022-11316-w
Okunlaya, R. O., Syed Abdullah, N., & Alias, R. A. (2022). Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education. Library Hi Tech, 40(6), 1869–1892. https://doi.org/10.1108/LHT-07-2021-0242
Onesi-Ozigagun, O., Ololade, Y. J., Eyo-Udo, N. L., & Ogundipe, D. O. (2024). Revolutionizing education through AI: A comprehensive review of enhancing learning experiences. International Journal of Applied Research in Social Sciences, 4(6), 589–607. https://doi.org/10.51594/ijarss.v6i4.1011
Opesemowo, O. A. G., & Adekomaya, V. (2024). Harnessing artificial intelligence for advancing sustainable development goals in South Africa’s higher education system: A qualitative study. International Journal of Learning, Teaching, and Educational Research, 23(3), 67–86. https://doi.org/10.26803/ijlter.23.3.4
Othman, M. A., Ja’afar, A. S., Manap, R. A., Misran, M. H., Said, M. A. M., Suhaimi, S., Hassan, N. I., & Nugraha, Y. T. (2025). Comparative analysis of AI training uptake in Malaysian and Indonesian universities. International Journal of Research and Innovation in Social Science, 9(1), 4657–4665. https://doi.org/10.47772/ijriss.2025.9010359
Owan, V. J., Abang, K. B., Idika, D. O., Etta, E. O., & Bassey, B. A. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. Eurasia Journal of Mathematics, Science and Technology Education, 19(8), Article em2307. https://doi.org/10.29333/ejmste/13428
Papakonstantinidis, S., Kwiatek, P., & Spathopoulou, F. (2024). Embrace or resist? Drivers of artificial intelligence writing software adoption in academic and non-academic contexts. Contemporary Educational Technology, 16(2), Article ep495. https://doi.org/10.30935/cedtech/14250
Pardo, A., Jovanović, J., Dawson, S., Gašević, D., & Mirriahi, N. (2017). Using learning Analytics to scale the provision of personalised feedback. British Journal of Educational Technology, 50(1), 128–138. https://doi.org/10.1111/bjet.12592
Patidar, N., Mishra, S., Jain, R., Prajapati, D., Solanki, A., Suthar, R., Patel, K., & Patel, H. (2024). Transparency in AI decision making: A survey of explainable AI methods and applications. Advances in Robotic Technology, 2(1). https://doi.org/10.23880/art-16000110
Petersson, L., Larsson, I., Nygren, J. M., Nilsen, P., Neher, M., Reed, J. E., Tyskbo, D., & Svedberg, P. (2022). Challenges to implementing artificial intelligence in healthcare: A qualitative interview study with healthcare leaders in Sweden. BMC Health Services Research, 22, Article 850. https://doi.org/10.1186/s12913-022-08215-8
Pitychoutis, K. M. (2024). Harnessing AI chatbots for EFL essay writing: A paradigm shift in language pedagogy. Arab World English Journal, (Special Issue on ChatGPT), 197–209. https://doi.org/10.24093/awej/ChatGPT.13
Pitychoutis, K. M., & Al Rawahi, A. (2024). Smart teaching: The synergy of multiple intelligences and artificial intelligence in English as a foreign language instruction. Forum for Linguistic Studies, 6(6), 249–260. https://doi.org/10.30564/fls.v6i6.7297
Priya, S., Jain, V., Priya, M. S., Dixit, S. K., & Joshi, G. (2023). Modelling the factors in the adoption of artificial intelligence in Indian management institutes. Foresight, 25(1), 20–40. https://doi.org/10.1108/fs-09-2021-0181
Quy, V. K., Thanh, B. T., Chehri, A., Linh, D. M., & Tuan, D. A. (2023). AI and digital transformation in higher education: Vision and approach of a specific university in Vietnam. Sustainability, 15(14), Article 11093. https://doi.org/10.3390/su151411093
Raj, N. S., & Renumol, V. G. (2022). A systematic literature review on adaptive content recommenders in personalized learning environments from 2015 to 2020. Journal of Computers in Education, 9(1), 113–148. https://doi.org/10.1007/s40692-021-00199-4
Sadler, T. D., Mensah, F. M., & Tam, J. (2024). Artificial intelligence and the Journal of Research in Science Teaching. Journal of Research in Science Teaching, 61(4), 739–743. https://doi.org/10.1002/tea.21933
Saleh, Z. T., Rababa, M., Elshatarat, R. A., Alharbi, M., Alhumaidi, B. N., Al-Za’areer, M. S., Jarrad, R. A., Al Niarat, T. F., Almagharbeh, W. T., Al-Sayaghi, K. M., & Fadila, D. E. S. (2025). Exploring faculty perceptions and concerns regarding artificial intelligence Chatbots in nursing education: potential benefits and limitations. BMC Nursing, 24, Article 440. https://doi.org/10.1186/s12912-025-03082-0
Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificial intelligence on learner-instructor interaction in online learning. International Journal of Educational Technology in Higher Education, 18(54). https://doi.org/10.1186/s41239-021-00292-9
Sethy, A., Shaik, N., Yadavalli, P. K., & Anandaraj, S. P. (2023). AI: Issues, concerns, and ethical considerations. In V. H. C. de Albuquerque, P. Raj, & S. Prakash Yavad (Eds.), Toward artificial general intelligence: Deep learning, neural networks, generative AI (pp. 189–211). De Gruyter. https://doi.org/10.1515/9783111323749-009
Sharma, A. K., Pareta, A., Meena, J., & Sharma, R. (2022). A long-term impact of artificial intelligence and robotics on higher education. In Proceedings of the IEEE 2022 International Conference on Advances in Computing, Communication, and Applied Informatics (pp. 1–4). http://doi.org/10.1109/ACCAI53970.2022.9752633
Shazly, R. (2021). Effects of artificial intelligence on English speaking anxiety and speaking performance: A case study. Expert Systems, 38(3), Article e12667. https://doi.org/10.1111/exsy.12667
Song, N. (2024). Higher education crisis: Academic misconduct with generative AI. Journal of Contingencies and Crisis Management, 32, Article e12532. https://doi.org/10.1111/1468-5973.12532
Suryanarayana, K. S., Prasad Kandi, V. S., Pavani, G., Rao, A. S., Rout, S., & Krishna, T. S. R. (2024). Artificial intelligence enhanced digital learning for the sustainability of education management system. The Journal of High Technology Management Research, 2(35), Article 100495. https://doi.org/10.1016/j.hitech.2024.100495
Swartz, M., & McElroy, K. (2023). The “Academicon”: AI and surveillance in higher education. Surveillance & Society, 21(3), 276–281. https://doi.org/10.24908/ss.v21i3.16105
Tahir, M., Noor, A., & Raza, H. (2025). Explore the role of artificial intelligence to support teachers at higher education institutions in South Punjab. The Critical Review of Social Sciences Studies, 3(3), 2421–2433. https://doi.org/10.59075/c098vs88
Tang, L., & Su, Y.S. (2024). Ethical implications and principles of using artificial intelligence models in the classroom: A systematic literature review. International Journal of Interactive Multimedia and Artificial Intelligence, 5(8), 25–36. https://doi.org/10.9781/ijimai.2024.02.010
Tapalova, O., & Zhiyenbayeva, N. (2022). Artificial intelligence in education: AIEd for personalised learning pathways. The Electronic Journal of E-Learning, 20(5), 639–653. https://doi.org/10.34190/ejel.20.5.2597
Tran, K., & Nguyen, T. (2021). Preliminary research on the social attitudes toward AI’s involvement in Christian education in Vietnam: Promoting AI technology for religious education. Religions, 12(3). https://doi.org/10.3390/rel12030208
Veseli, A., Hasanaj, P., & Bajraktari, A. (2025). Perceptions of organizational change readiness for sustainable digital transformation: Insights from learning management system projects in higher education institutions. Sustainability, 17(2), Article 619. https://doi.org/10.3390/su17020619
Wang, T., Lund, B. D., Marengo, A., Pagano, A., Mannuru, N. R., Teel, Z. A., & Pange, J. (2023). Exploring the potential impact of artificial intelligence (AI) on international students in higher education: Generative AI, chatbots, analytics, and international student success. Applied Sciences, 13(11), Article 6716. https://doi.org/10.3390/app13116716
Wang, X., Zhao, S., Xu, X., Zhang, H., & Lei, V. (2025). AI adoption in Chinese universities: Insights, challenges, and opportunities from academic leaders. Acta Psychologica, 258, Article 105160, https://doi.org/10.1016/j.actpsy.2025.105160
Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning Media and Technology, 45(3), 223–235. https://doi.org/10.1080/17439884.2020.1798995
Wood, E. A., Ange, B. L., & Miller, D. D. (2021). Are we ready to integrate artificial intelligence literacy into medical school curriculum: Students and faculty survey. Journal of Medical Education and Curricular Development, 8. https://doi.org/10.1177/23821205211024078
Wu, C., Hung, C., Shen, C., & Yu, J. (2024). Enhancing the willingness of adopting AI in education using back-propagation neural networks. Sensors and Materials, 36(3), Article 905. https://doi.org/10.18494/sam4485
Xia, Q. (2024). A scoping review on how generative artificial intelligence transforms assessment in higher education. International Journal of Educational Technology in Higher Education, 21(1). https://doi.org/10.1186/s41239-024-00468-z
Yu, L., Li, Y., & Fan, F. (2023). Employees’ appraisals and trust of artificial intelligences’ transparency and opacity. Behavioral Sciences, 13(4). https://doi.org/10.3390/bs13040344
Zainuddin, N. (2024). Does artificial intelligence cause more harm than good in schools? International Journal of Language Education and Applied Linguistics, 14(1), 1–3. https://doi.org/10.15282/ijleal.v14i1.10432
Zawacki-Richter, O., Marín, V., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–Where are the educators? International Journal of Educational Technology in Higher Education, 16(1). https://doi.org/10.1186/s41239-019-0171-0
Zekaj, R. (2023). AI language models as educational allies: Enhancing instructional support in higher education. International Journal of Learning, Teaching, and Educational Research, 22(8), 120–134. https://doi.org/10.26803/IJLTER.22.8.7
Zhang, H., Lee, I., & Moore, K. (2024). An effectiveness study of teacher-led AI literacy curriculum in K-12 classrooms. Proceedings of the AAAI Conference on Artificial Intelligence, 38(21), 23318–23325. https://doi.org/10.1609/aaai.v38i21.30380
Zhang, W., & Iliško, D. (2025). AI-driven innovation in educational management: A multi-case study of Chinese higher education institutions. Edelweiss Applied Science and Technology, 9(4), 2109–2128. https://doi.org/10.55214/25768484.v9i4.6498

Citation

Spathopoulou, F., Pitychoutis, K. M., & Papakonstantinidis, S. (2025). AI and higher education: Understanding faculty roles in teaching, research, and administration. Contemporary Educational Technology, 17(4), ep600. https://doi.org/10.30935/cedtech/17406

Spathopoulou, F., Pitychoutis, K. M., and Papakonstantinidis, S. (2025). AI and higher education: Understanding faculty roles in teaching, research, and administration. Contemporary Educational Technology, 17(4), ep600. https://doi.org/10.30935/cedtech/17406

Spathopoulou F, Pitychoutis KM, Papakonstantinidis S. AI and higher education: Understanding faculty roles in teaching, research, and administration. CONT ED TECHNOLOGY. 2025;17(4), ep600. https://doi.org/10.30935/cedtech/17406

Spathopoulou, Filomachi, Konstantinos M. Pitychoutis, and Stavros Papakonstantinidis. "AI and higher education: Understanding faculty roles in teaching, research, and administration". Contemporary Educational Technology 2025 17 no. 4 (2025): ep600. https://doi.org/10.30935/cedtech/17406

Spathopoulou, Filomachi et al. "AI and higher education: Understanding faculty roles in teaching, research, and administration". Contemporary Educational Technology, vol. 17, no. 4, 2025, ep600. https://doi.org/10.30935/cedtech/17406

Spathopoulou F, Pitychoutis KM, Papakonstantinidis S. AI and higher education: Understanding faculty roles in teaching, research, and administration. CONT ED TECHNOLOGY. 2025;17(4):ep600. https://doi.org/10.30935/cedtech/17406