Integrating Artificial Intelligence in Education: Opportunities and Challenges
DOI:
https://doi.org/10.68490/ber.2024.3.535Keywords:
Artificial intelligence in education, AI integration, Critical thinking skills, Higher education, Educational technology challenges, Teacher professional developmentAbstract
Artificial Intelligence (AI) has become a prominent trend in this era, progressing in every field including education. It offers numerous new opportunities in the education system and on the same side, both students and teachers are also facing new challenges in our education sector. The present study aims to investigate the challenges faced by students and teachers resulting from the integration of AI in Education. It also aims to explore the opportunities brought about by the integration of AI in the field of education. The study is helpful for all the stakeholders in the education sector. The questionnaire was employed to gather data during personal visits. Each set of questionnaire included a five-point Likert scale for quantitative data and semi-structured interviews for qualitative data. The mixed methods study involved the participation of 335 students for quantitative data collection and 32 teachers for qualitative data collection from three universities in Pakistan. Quantitative data were analyzed using Smart PLS version 4 while qualitative data were analyzed using the Phenomenological Approach, (Colaizzi’s method). The findings of the study revealed that AI in education streamlines tasks, aiding grading and assistance. However, its integration may challenge creativity and critical thinking skills. It is recommended that teacher may create environment and provide opportunities to students to enhance their critical thinking skills and creativity. Additionally, it is suggested that training programmes be arranged for teachers to enhance their technical skills and ensure the effective use of AI.
References
Akgun, S., & Greenhow, C. (2021). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 1-10.https://doi.org/10.1007/ s43681-021-00096-7 https://doi.org/10.1007/s43681-021-00096-7
Almusharraf, N., & Alotaibi, H. (2023). An error-analysis study from an EFL writing context: Human and Automated Essay Scoring Approaches. Technology, Knowledge and Learning, 28(3), 1015-1031.https://doi.org/10.1007/s10758-022-09592-z
Amusa , J., & Ayanwale, M. (2021). Partial Least Square Modeling of Personality Traits and Academic Achievement in Physics. Asian Journal of Assessment in Teaching and Learning, 11(2), 77-92.https://doi.org/10.37134/ajatel.vol11.2.8.2021
Awodiji, O., & Ayanwale, M. (2023). Causal modelling of head teachers’ leadership behaviour and administrative effectiveness in public basic school: validation of the measurement instrument. Pertanika Journal of Social Sciences & Humanities. 31(2), 855-883.https://doi.org/10.47836/pjssh.31.2.20
Ayanwale, M., Molefi, R., & Matsie, N. (2023). Modelling secondary school students' attitudes toward TVET subjects using social cognitive and planned behavior theories. Social Sciences & Humanities Open, 8(1), 100478.https://doi.org/ 10.1016/j.ssaho.2023.100478
Baber, H., Nair, K., Gupta, R., & Gurjar, K. (2023). The beginning of ChatGPT–a systematic and bibliometric review of the literature. Information and Learning Sciences.https://doi.org/10.1108/ILS-04-2023-0035
Borenstein, J. &. Howard, A. (2021). Emerging challenges in AI and the need for AI ethics education. AI and Ethics, 1, 61-65.https://doi.org/10.1007/s43681-020-00002-7
Bruneau, P. W. (2023). The Potential of ChatGPT to Enhance Physics Education in Vietnamese High Schools. Physics Education.https://doi.org/10.35542/osf.io/36qw9
Chan, C. K. (2023). Is AI Changing the Rules of Academic Misconduct? An In-depth Look at Students' Perceptions of'AI-giarism'. arXiv preprint arXiv:2306.03358. https://doi.org/10.48550/arXiv.2306.03358
Chaudhry, M. A. (2022). Artificial Intelligence in Education (AIEd): A high-level academic and industry note 2021. AI and Ethics, 1-9.https://doi.org/10.1007/ s43681-021-00074-z
Chen, X., Zou, D., Xie , H., & Cheng, G. (2021). Twenty years of personalized language learning. Educational Technology & Society, 24(1), 205-222. https://www.jstor.org/stable/26977868
Chin, W. W. (2009). How to write up and report PLS analyses. In Handbook of partial least squares: Concepts, methods and applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 665-690.https://doi.org/10.1007/978-3-540-32827-8_29
Creswell, J. (2009). Research Design Qualitative, Quantitative, and Mixed Methods Approaches. Thousand Oaks (3rd ed.), ISBN: 9781412965569.
Edwards, C., Edwards, A., Spence, P., & Lin, X. (2018). I, teacher: using artificial intelligence (AI) and social robots in communication and instruction. Communication Education, 67(4), 473-480.https://doi.org/10.1080/ 03634523.2018.1502459
Gay, L. (2000). Student guide to accompany Research (fifth ed.). Prentice hall PTR.
Guilherme, A. (2019). AI and education: the importance of teacher and student relations. AI & society, 34,, 47-54.https://doi.org/10.1007/s00146-017-0693-8
Hair, J. F., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152. https://doi.org/10.2753/MTP1069-6679190202
Hair, J. J. (2021). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.https://doi.org/10.1007/978-3-319-57413-4_15
Holmes, W., Bialik, M., & Fadel, C. (2023). Artificial intelligence in education. Globethics Publications.https://doi.org/10.58863/20.500.12424%2F4273108
Hrastinski, S., Olofsson, A., & Arkenback, C. (2019). Critical imaginaries and reflections on artificial intelligence and robots in postdigital K-12 education. Postdigital Science and Education, 427-445.https://doi.org/10.1007/s42438-019-00046-x
Lu, S. Y. (2021). An Introduction to Artificial Intelligence in Education.Springer.
Luan, H. G. (2020). Challenges and future directions of big data and artificial intelligence in education. Frontiers in psychology, 11, 580820 .https://doi.org/10.3389/ fpsyg.2020.580820
Matthew N.O. Sadiku, S. M. (2022). Artificial Intelligence in Education. iUniverse.
Oluwadamilare, A. A. (2021). Partial least square modeling of personality traits and academic achievement in physics. Asian Journal of Assessment in Teaching and Learning, 11(2), 77-92.https://doi.org/10.37134/ajatel.vol11.2.8.2021
Ouyang, F. &. Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020.https://doi.org/ 10.1016/j.caeai.2021.100020
Popenici, S., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 1-13.https://doi.org/10.1186/s41039-017-0062-8
Shidiq, M. (2023). The use of artificial intelligence-based chat-gpt and its challenges for the world of education; from the viewpoint of the development of creative writing skills. In Proceeding of International Conference on Education, Society and Humanity, 353-357.
Sumra, K., Alam, M., & Aftab, R. (2022). Artificial intelligence for strengthening administrative and support services in public sector amid COVID-19: Challenges and opportunities in Pakistan. Advances in Data Science and Intelligent Data Communication Technologies for COVID 19: Innovative Solutions Against COVID-19, 153-172.https://doi.org/10.1007/978-3-030-77302-1_9
Thu, C. H. (2023). Integrating ChatGPT into Online Education System in Vietnam: Opportunities and Challenges.https://doi.org/10.35542/osf.io/hqyut
Wojnar, D., & Swanson, K. (2007). Phenomenology: an exploration. Journal of holistic nursing, 25(3), 172-180.https://doi.org/10.1177/0898010106295172
Xu, L. (2020). The dilemma and countermeasures of AI in educational application. In Proceedings of the 2020 4th International Conference on Computer Science and Artificial Intelligence, 289-294.https://doi.org/10.1145/3445815.3445863
Yang, S. B. (2020). The integration design of artificial intelligence and normal students’ education. In Journal of Physics: Conference Series IOP Publishing.10.1088/ 1742-6596/1453/1/012090
Yonghe, W., Bowen, L., & Xiaoling, M. (2017). Building an ecosystem of "artificial intelligence + education". Journal of Distance Education 35(5), 27-39.
Zhang, K., & Aslan, A. (2021). AI technologies for education: Recent research & future directions. Computers and Education: Artificial Intelligence, 2, 100025. https://doi.org/10.1016/j.caeai.2021.100025
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Bulletin of Education and Research
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
