Résumés
Abstract
The rapid advancement of artificial intelligence (AI) has generated significant interest within the educational sector, particularly in information technology (IT) education. This study explored the current challenges, opportunities, and future directions of AI in IT education in the Philippines, a nation working to enhance its educational system in the face of digital transformation. Through a survey research design, data was collected from IT students, and educators. Results highlight the key challenges such as inadequate infrastructure, limited resources, gaps in AI literacy, and concerns around ethics and data privacy. Despite these challenges, opportunities such as personalized learning, streamlined administrative processes through task automation, and advancements in research through improved data collection, processing, and analysis provide hope for the integration of AI in IT curricula. Moving forward, efforts should focus on curriculum development, supportive policy frameworks, and continuous research to leverage AI's benefits in IT education. With robust government support, industry collaboration, and ethical AI practices, the Philippines can effectively use AI to transform IT education and equip students for a tech-driven future.
Parties annexes
Bibliography
- Abulibdeh, A., Zaidan, E., & Abulibdeh, R. (2024). Navigating the confluence of artificial intelligence and education for sustainable development in the era of industry 4.0: Challenges, opportunities, and ethical dimensions. Journal of Cleaner Production, 140527. https://doi.org/10.1016/j.jclepro.2023.140527
- Adel, A., Ahsan, A., & Davison, C. (2024). ChatGPT promises and challenges in education: Computational and ethical perspectives. Education Sciences, 14(8), 814. https://doi.org/10.3390/educsci14080814
- Aderibigbe, A. O., Ohenhen, P. E., Nwaobia, N. K., Gidiagba, J. O., & Ani, E. C. (2023). Artificial intelligence in developing countries: bridging the gap between potential and implementation. Computer Science & IT Research Journal, 4(3), 185-199. https://doi.org/10.51594/csitrj.v4i3.629
- Ahmed, S., & Meraj, M. (2024, October). The Role of AI-Driven Personalized E-Learning in Enhancing Economic Competitiveness: A Comparative Analysis of Developed and Developing Countries. In European Conference on e-Learning (Vol. 23, No. 1, pp. 498-505). https://doi.org/10.34190/ecel.23.1.3014
- Ali, M., Siddique, A., Aftab, A., Abid, M. K., & Fuzail, M. (2024). AI-Powered customized learning paths: transforming data administration for students on digital platforms. Journal of Computing & Biomedical Informatics, 6(02), 195-204. https://doi.org/10.56979/602/2024
- Almethen, A. A. (2024). Challenges in implementing artificial intelligence applications in secondary-level education: A teacher-centric perspective. Majallat Kulliyat Al-Tarbiyah (Journal of the College of Education), 1-32. https://doi.org/10.21608/mfes.2024.363254
- Almufareh, M. F., Kausar, S., Humayun, M., & Tehsin, S. (2024). A conceptual model for inclusive technology: advancing disability inclusion through artificial intelligence. Journal of Disability Research, 3(1), 20230060. https://doi.org/10.57197/jdr-2023-0060
- Altinay, Z., Altinay, F., Sharma, R. C., Dagli, G., Shadiev, R., Yikici, B., & Altinay, M. (2024). Capacity building for student teachers in learning, teaching artificial intelligence for quality of education. Societies, 14(8), 148. https://doi.org/10.3390/soc14080148
- Ayeni, O. O., Al Hamad, N. M., Chisom, O. N., Osawaru, B., & Adewusi, O. E. (2024). AI in education: A review of personalized learning and educational technology. GSC Advanced Research and Reviews, 18(2), 261-271. https://doi.org/10.30574/gscarr.2024.18.2.0062
- Chisom, O. N., Unachukwu, C. C., & Osawaru, B. (2023). Review of AI in education: transforming learning environments in Africa. International Journal of Applied Research in Social Sciences, 5(10), 637-654. 10.51594/ijarss.v5i10.725
- Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. 4th Edition, Sage, 4th Edition, Sage, Newbury Park.
- Cruz, R. A. O. D. (2022). Learners’ attitude towards outcomes-based teaching and learning in higher education. Tuning Journal for Higher Education, 9(2), 99-119. https://doi.org/10.18543/tjhe.1965
- Cruz, R. O. D. (2020). Pedagogical practice preferences among generational groups of learners: Towards effective twenty-first century higher education. Journal of University Teaching and Learning Practice, 17(5), 1-21. https://doi.org/10.53761/1.17.5.6
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340. https://doi.org/10.2307/249008
- Dela Cruz, R. Z., & Dela Cruz, R. A. O. (2020). Purposes and outcomes of information technology education towards sustainable national development. Information Technology, Education and Society, 17(1), 5-20. http://dx.doi.org/10.7459/ites/17.1.02
- Ejjami, R. (2024). The future of learning: AI-based curriculum development. Int J Multidiscipline Res, 6(4), 1-31. https://doi.org/gt4gjx
- Gillani, N., Eynon, R., Chiabaut, C., & Finkel, K. (2023). Unpacking the “Black Box” of AI in education. Educational Technology & Society, 26(1), 99-111. https://www.jstor.org/stable/48707970
- Goralski, M. A., & Tan, T. K. (2020). Artificial intelligence and sustainable development. The International Journal of Management Education, 18(1), 100330. https://doi.org/10.1016/j.ijme.2019.100330
- Harkins-Brown, A. R., Carling, L. Z., & Peloff, D. C. (2025). Artificial Intelligence in Special Education. Encyclopedia, 5(1), 11. https://doi.org/10.3390/encyclopedia5010011
- Hu, B. (2024). Using media accessibility as a stimulus for teaching audio-visual translation: a Singapore case study. The Interpreter and Translator Trainer, 18(4), 618-644. https://doi.org/10.1080/1750399X.2024.2424704
- Igbokwe, I. C. (2023). Application of artificial intelligence (AI) in educational management. International Journal of Scientific and Research Publications, 13(3), 300-307. DOI: 10.29322/IJSRP.13.03.2023.p13536
- Joseph, O. B., & Uzondu, N. C. (2024). Integrating AI and Machine Learning in STEM education: Challenges and opportunities. Computer Science & IT Research Journal, 5(8), 1732-1750. DOI: 10.51594/csitrj.v5i8.1379
- Khachatryan, R. (2023). Prospects for further advancing strategic management models for the RA higher education institutions. Education in the 21st Century, 10(2), 78-90. https://doi.org/10.46991/educ-21st-century.v5.i2.078
- Kochmar, E., Vu, D. D., Belfer, R., Gupta, V., Serban, I. V., & Pineau, J. (2022). Automated data-driven generation of personalized pedagogical interventions in intelligent tutoring systems. International Journal of Artificial Intelligence in Education, 32(2), 323-349. https://doi.org/10.1007/s40593-021-00267-x
- Luckin, R. (2025). Nurturing human intelligence in the age of AI: rethinking education for the future. Development and Learning in Organizations: An International Journal, 39(1), 1-4. https://doi.org/10.1108/DLO-04-2024-0108
- Makinde, A. I., Adeleye, S. A., Oronti, A. O., & Jimoh, I. T. (2024). Revolutionizing education. Artificial Intelligence for Wireless Communication Systems: Technology and Applications, 103-125. CRC Press, Boca Raton. https://doi.org/10.1201/9781003517689
- Naseeb, J., & Bhatti, N. (2024). Ethical Considerations of AI in Educational Curriculum. Multidisciplinary Journal of Emerging Needs of Curriculum, 1(1), 30-38. https://www.researchcorridor.org/index.php/MJENC/article/view/14/14
- Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B. P. T. (2023). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28(4), 4221-4241. https://link.springer.com/article/10.1007/s10639-022-11316-w
- 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, 6(4), 589-607. DOI: 10.51594/ijarss.v6i4.1011
- Patty, J. (2024). The use of AI in language learning: what you need to know. Jurnal Review Pendidikan dan Pengajaran (JRPP), 7(1), 642-654. http://journal.universitaspahlawan.ac.id/index.php/jrpp
- Pramod, A., Naicker, H. S., & Tyagi, A. K. (2022). Emerging innovations in the near future using deep learning techniques. Advanced Analytics and Deep Learning Models, 231-254. https://doi.org/10.1002/9781119792437.ch10
- Que, E. N. (2021). Sustaining Successful ICT Integration in Remote Rural Schools. Pertanika Journal of Social Sciences & Humanities, 29(3), 1487-1506. https://doi.org/10.47836/pjssh.29.3.02
- Ramoso, M. G. D., & Cruz, R. O. D. (2024). Adapting to the new normal: Remote teaching challenges among educators in higher education. Eureka: Journal of Educational Research, 2(2), 98-107. https://doi.org/10.56773/ejer.v2i2.26
- Son, J. B., Ružić, N. K., & Philpott, A. (2025). Artificial intelligence technologies and applications for language learning and teaching. Journal of China Computer-Assisted Language Learning, 5(1), 94-112. https://www.degruyterbrill.com/document/doi/10.1515/jccall-2023-0015/html
- Srinivasa, K. G., Kurni, M., & Saritha, K. (2022). Harnessing the Power of AI to Education. In Learning, teaching, and assessment methods for contemporary learners: pedagogy for the digital generation (pp. 311-342). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-19-6734-4_13
- Tilepbergenovna, U. A. (2024). The role of artificial intelligence in education. International Journal of Pedagogics, 4(10), 184-187. https://doi.org/10.37547/ijp/Volume04Issue10-32
- Torres, R. A. O., & Ortega-Dela Cruz, R. A. (2022). Remote Learning: Challenges and Opportunities for Educators and Students in the New Normal. Anatolian Journal of Education, 7(1), 83-92. https://doi.org/10.29333/aje.2022.717a
- Umali, J. N. D. (2024). Artificial Intelligence Technology Management of Teachers, Learners Motivation and Challenges Encountered. Educational Research (IJMCER), 6(3), 821-880. https://www.ijmcer.com/wp-content/uploads/2024/06/IJMCER_MM0630821880.pdf
- Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
- Villanueva, J. S., & Cruz, R. A. O. D. (2019). The Praxis of School-based management on curriculum and learning in the Philippines. International Journal of Social Sciences & Educational Studies, 6(2), 89-101. https://doi.org/10.23918/ijsses.v6i2p89
- Wang, D., Weisz, J. D., Muller, M., Ram, P., Geyer, W., Dugan, C., ... & Gray, A. (2019). Human-AI collaboration in data science: Exploring data scientists' perceptions of automated AI. Proceedings of the ACM on human-computer interaction, 3(CSCW), 1-24. https://doi.org/10.1145/3359313
- Yigitcanlar, T., Agdas, D., & Degirmenci, K. (2023). Artificial intelligence in local governments: perceptions of city managers on prospects, constraints and choices. Ai & Society, 38(3), 1135-1150. https://link.springer.com/article/10.1007/s00146-022-01450-x
- Zawacki-Richter, O., Marín, V. I., 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), 1-27. https://link.springer.com/article/10.1186/S41239-019-0171-0