Integration of Artificial Intelligence in Higher Education: Relevance for Inclusion and Learning

Integration of Artificial Intelligence in Higher Education: Relevance for Inclusion and Learning

Main Article Content

Iván Suazo Galdames

Abstract

Artificial intelligence (AI) is revolutionizing the way teachers design and deliver their classes, especially in creating environments that prioritize inclusion. Integrating AI into educational environments is not just about adopting new technologies; it’s about reimagining pedagogical strategies to make learning more accessible and personalized for each student. This transformation is supported by a growing body of research that highlights both the potential benefits and challenges of AI in higher education. In this review article we critically evaluate the evolving landscape of Artificial Intelligence (AI) in higher education, focusing on training methodologies and the deployment of AI tools to improve the learning process. Findings from the literature review on the integration of Artificial Intelligence (AI) in higher education suggest that the way forward requires a nuanced approach that balances innovation with ethical considerations, inclusivity and practicality.

References

Abgaryan, H., Asatryan, S., & Matevosyan, A. (2023). Revolutionary changes in higher education with artificial intelligence. Main Issues of Pedagogy and Psychology, 10(1), 76-86. https://doi.org/10.24234/miopap.v10i1.454

Bearman, M., & Ajjawi, R. (2023). Learning to work with the black box: Pedagogy for a world with artificial intelligence. British Journal of Educational Technology, 54(5), 1160-1173. https://doi.org/10.1111/bjet.13337

Bozkurt, A., Karadeniz, A., Bañeres, D., & Rodríguez, M. (2021). Artificial intelligence and reflections from educational landscape: A review of ai studies in half a century. Sustainability, 13(2), 800. https://doi.org/10.3390/su13020800

Calatayud, V., Espinosa, M., & Vila, R. (2021). Artificial intelligence for student assessment: A systematic review. Applied Sciences, 11(12), 5467. https://doi.org/10.3390/app11125467

Chai, C., Wang, X., & Xu, C. (2020). An extended theory of planned behavior for the modelling of chinese secondary school students’ intention to learn artificial intelligence. Mathematics, 8(11), 2089. https://doi.org/10.3390/math8112089

Chiu, T., Meng, H., Chai, C., King, I., Wong, S., & Yam, Y. (2022). Creation and evaluation of a pretertiary artificial intelligence (ai) curriculum. IEEE Transactions on Education, 65(1), 30-39. https://doi.org/10.1109/te.2021.3085878

Crompton, H., & Song, D. (2021). The potential of artificial intelligence in higher education. Revista Virtual Universidad Católica Del Norte, 62, 1-4. https://doi.org/10.35575/rvucn.n62a1

Durso, S., & Arruda, E. (2022). Artificial intelligence in distance education: A systematic literature review of brazilian studies. Problems of Education in the 21st Century, 80(5), 679-692. https://doi.org/10.33225/pec/22.80.679

Fornasier, M. (2021). Legal education in the 21st century and the artificial intelligence. Revista Opinião Jurídica (Fortaleza), 19(31), 1-32. https://doi.org/10.12662/2447-6641oj.v19i31.p1-32.2021

Gazquez Linares, J. J., Pérez Fuentes, M. del C., & Suazo Galdames, I. (2023). Embracing the Potential of Artificial Intelligence in Education: Balancing Benefits and Risks. European Journal of Education and Psychology, 16(1), 1–8. https://doi.org/10.32457/ejep.v16i1.2205

Goksel, N., & Bozkurt, A. (2019). Artificial intelligence in education. In 2019: 224-236. https://doi.org/10.4018/978-1-5225-8431-5.ch014

Hannan, E. (2021). Ai: New source of competitiveness in higher education. Competitiveness Review: An International Business Journal Incorporating Journal of Global Competitiveness, 33(2), 265-279. https://doi.org/10.1108/cr-03-2021-0045

Jantakun, T., Jantakun, K., & Jantakoon, T. (2021). A common framework for artificial intelligence in higher education (aai-he model). International Education Studies, 14(11), 94. https://doi.org/10.5539/ies.v14n11p94

Khan, M., & Khojah, M. (2022). Artificial intelligence and big data: The advent of new pedagogy in the adaptive e-learning system in the higher educational institutions of Saudi Arabia. Education Research International, 2022, 1-10. https://doi.org/10.1155/2022/1263555

Köbis, L., & Mehner, C. (2021). Ethical questions raised by ai-supported mentoring in higher education. Frontiers in Artificial Intelligence, 4. https://doi.org/10.3389/frai.2021.624050

Kulikowski, C. (2022). 50 years of achievements and persistent challenges for biomedical and health informatics and john mantas’ educational and nursing informatics contributions. https://doi.org/10.3233/shti220936

Lainjo, B., & Tsmouche, H. (2023). Impact of artificial intelligence on higher learning institutions. International Journal of Education Teaching and Social Sciences, 3(2), 96-113. https://doi.org/10.47747/ijets.v3i2.1028

Lainjo, B., & Tsmouche, H. (2023). Impact of artificial intelligence on higher learning institutions. International Journal of Education Teaching and Social Sciences, 3(2), 96-113. https://doi.org/10.47747/ijets.v3i2.1028

Li, K., & Wong, B. (2023). Artificial intelligence in personalised learning: A bibliometric analysis. Interactive Technology and Smart Education, 20(3), 422-445. https://doi.org/10.1108/itse-01-2023-0007

Li, Y., & Yang, P. (2023). Higher education worries and response in the era of artificial intelligence. Education. https://doi.org/10.54647/education880398

Liao, Y. (2022). Educational evaluation of piano performance by the deep learning neural network model. Mobile Information Systems, 2022, 1-12. https://doi.org/10.1155/2022/6975824

Luan, H., Géczy, P., Lai, H., Gobert, J., Yang, S., Ogata, H., et al. (2020). Challenges and

future directions of big data and artificial intelligence in education. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.580820

Pedró, F. (2020). Applications of artificial intelligence to higher education: Possibilities, evidence, and challenges. Iul Research, 1(1), 61-76. https://doi.org/10.57568/iulres.v1i1.43

Rienties, B., Simonsen, H., & Herodotou, C. (2020). Defining the boundaries between artificial intelligence in education, computer-supported collaborative learning, educational data mining, and learning analytics: A need for coherence. Frontiers in Education, 5. https://doi.org/10.3389/feduc.2020.00128

Sadiku, M., Ashaolu, T., Ajayi-Majebi, A., & Musa, S. (2021). Artificial intelligence in education. International Journal of Scientific Advances, 2(1). https://doi.org/10.51542/ijscia.v2i1.2

Sousa, M., Mas, F., Pesqueira, A., Lemos, C., Verde, J., & Cobianchi, L. (2021). The potential of ai in health higher education to increase the students’ learning outcomes. Tem Journal, 488-497. https://doi.org/10.18421/tem102-02

Su, J., & Yang, W. (2023). Unlocking the power of ChatGPT: A framework for applying generative AI in education. ECNU Review of Education, 6(3), 355-366. https://doi.org/10.1177/20965311231168423

Suazo Galdames, I. (2023). Chatbots for Promoting Healthy Habits and Scientific Culture. International Journal of Medical and Surgical Sciences, 10(4), 1–4. https://doi.org/10.32457/ijmss.v10i4.2413

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

Zheng, R., & Badarch, T. (2022). Research on applications of artificial intelligence in education. American Journal of Computer Science and Technology, 5(2), 72. https://doi.org/10.11648/j.ajcst.20220502.17