CHALLENGES AND OPPORTUNITIES FOR ADOPTING ARTIFICIAL INTELLIGENCE IN EDUCATION : A LITERATURE REVIEW

Authors

  • Lista Meria Universitas Esa Unggul
  • Saukani Universitas Muhammadiyah Pringsewu

DOI:

https://doi.org/10.51499/cp.v7i1.356

Keywords:

artificial intelligence (AI), technology, education, opportunities, benefits, challenges

Abstract

Technology and artificial intelligence (AI) are growing and their implementation is very fast. AI has become a part of our daily life. AI makes people start changing the way they think, work and learn. The education sector is one of the many affected by AI, even though its implementation faces many challenges and ethics. The aim of this study is to analyze the benefits, opportunities and challenges of AI in education. The method used in this study is a review of relevant literature on the research focus of AI in education. A total of 24 articles were analyzed to gain an in-depth understanding of the opportunities, benefits and challenges of adopting AI in education. The results show that the adoption of AI in education has been widely carried out in various countries and is increasingly emerging in the industrial era 4.0 coupled with the crisis due to the Covid-19 pandemic. AI in education creates new opportunities and challenges that require further hard work and innovation. This study also provides recommendations and directions for future research.

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References

Akinwalere, S. N., & Ivanov, V. (2022). Artificial Intelligence in Higher Education: Challenges and Opportunities. Border Crossing, 12(1), 1–15.

Alam, A. (2021). Possibilities and Apprehensions in the Landscape of Artificial Intelligence in Education. 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA), 1–8.

Aleven, V., Roll, I., McLaren, B. M., & Koedinger, K. R. (2016). Help helps, but only so much: Research on help seeking with intelligent tutoring systems. International Journal of Artificial Intelligence in Education, 26(1), 205–223.

Bucea-Manea-?oni?, R., Kuleto, V., Gudei, S. C. D., Lianu, C., Lianu, C., Ili?, M. P., & P?un, D. (2022). Artificial Intelligence Potential in Higher Education Institutions Enhanced Learning Environment in Romania and Serbia. Sustainability, 14(10), 5842.

Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. Ieee Access, 8, 75264–75278.

Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2022). Two Decades of Artificial Intelligence in Education. Educational Technology & Society, 25(1), 28–47.

Cheng, X., Su, L., Luo, X., Benitez, J., & Cai, S. (2022). The good, the bad, and the ugly: Impact of analytics and artificial intelligence-enabled personal information collection on privacy and participation in ridesharing. European Journal of Information Systems, 31(3), 339–363.

Ciolacu, M., Tehrani, A. F., Binder, L., & Svasta, P. M. (2018). Education 4.0-Artificial Intelligence assisted higher education: Early recognition system with machine learning to support students’ success. 2018 IEEE 24th International Symposium for Design and Technology in Electronic Packaging(SIITME), 23–30.

Conklin, T. A., & Hartman, N. S. (2014). Appreciative inquiry and autonomy-supportive classes in business education: A semilongitudinal study of AI in the classroom. Journal of Experiential Education, 37(3), 285–309.

du Boulay, B. (2016). Artificial intelligence as an effective classroom assistant. IEEE Intelligent Systems, 31(6), 76–81.

Hoeschl, M. B., Bueno, T. C., & Hoeschl, H. C. (2017). Fourth industrial revolution and the future of engineering: Could robots replace human jobs? How ethical recommendations can help engineers rule on artificial intelligence. 2017 7th World Engineering Education Forum (WEEF), 21–26.

Hwang, G.-J. (2014). Definition, framework and research issues of smart learning environments-a context-aware ubiquitous learning perspective. Smart Learning Environments, 1(1), 1–14.

Hwang, G.-J., Xie, H., Wah, B. W., & Gaševi?, D. (2020). Vision, challenges, roles and research issues of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence, 1, 100001. https://doi.org/10.1016/j.caeai.2020.100001

Ikedinachi, A. P., Misra, S., Assibong, P. A., Olu-Owolabi, E. F., Maskeli?nas, R., & Damasevicius, R. (2019). Artificial intelligence, smart classrooms and online education in the 21st century: Implications for human development. Journal of Cases on Information Technology (JCIT), 21(3), 66–79.

Jones, M. (1985). Applications of artificial intelligence within education. Computers & Mathematics with Applications, 11(5), 517–526.

Kandlhofer, M., Steinbauer, G., Hirschmugl-Gaisch, S., & Huber, P. (2016). Artificial intelligence and computer science in education: From kindergarten to university. 2016 IEEE Frontiers in Education Conference (FIE), 1–9.

Kay, J. (2012). AI and education: Grand challenges. IEEE Intelligent Systems, 27(5), 66–69.

Kuleto, V., Ili?, M., Dumangiu, M., Rankovi?, M., Martins, O. M., P?un, D., & Mihoreanu, L. (2021). Exploring opportunities and challenges of artificial intelligence and machine learning in higher education institutions. Sustainability, 13(18), 10424.

Latham, A., & Goltz, S. (2019). A Survey of the General Public’s Views on the Ethics of Using AI in Education. International Conference on Artificial Intelligence in Education, 194–206.

Lin, P.-H., Wooders, A., Wang, J. T.-Y., & Yuan, W. M. (2018). Artificial intelligence, the missing piece of online education? IEEE Engineering Management Review, 46(3), 25–28.

Luan, H., Geczy, P., Lai, H., Gobert, J., Yang, S. J., Ogata, H., Baltes, J., Guerra, R., Li, P., & Tsai, C.-C. (2020). Challenges and future directions of big data and artificial intelligence in education. Frontiers in Psychology, 11, 580820.

Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & Group, P. (2010). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. International Journal of Surgery (London, England), 8(5), 336–341.

Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020.

Owoc, M. L., Sawicka, A., & Weichbroth, P. (2021). Artificial intelligence technologies in education: Benefits, challenges and strategies of implementation. IFIP International Workshop on Artificial Intelligence for Knowledge Management, 37–58.

Popenici, S. A., & 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.

Potode, A., & Manjare, P. (2015). E-learning using artificial intelligence. International Journal of Computer Science and Information Technology Research, 3(1), 78–82.

Price, S., & Flach, P. A. (2017). Computational support for academic peer review: A perspective from artificial intelligence. Communications of the ACM, 60(3), 70–79.

Rahmatullah, A. S., Mulyasa, E., Syahrani, S., Pongpalilu, F., & Putri, R. E. (2022). Digital era 4.0: The contribution to education and student psychology. Linguistics and Culture Review, 6, 89–107.

Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26(2), 582–599.

Schindler, L. A., Burkholder, G. J., Morad, O. A., & Marsh, C. (2017). Computer-based technology and student engagement: A critical review of the literature. International Journal of Educational Technology in Higher Education, 14(1), 1–28.

Sijing, L., & Lan, W. (2018). Artificial intelligence education ethical problems and solutions. 2018 13th International Conference on Computer Science & Education (ICCSE), 1–5.

Treve, M. (2021). What COVID-19 has introduced into education: Challenges facing higher education institutions (HEIs). Higher Education Pedagogies, 6(1), 212–227.

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.

Zhao, H., Li, G., & Feng, W. (2018). Research on application of artificial intelligence in medical education. 2018 International Conference on Engineering Simulation and Intelligent Control (ESAIC), 340–342.

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Published

2023-04-01

How to Cite

Meria, L., & Saukani. (2023). CHALLENGES AND OPPORTUNITIES FOR ADOPTING ARTIFICIAL INTELLIGENCE IN EDUCATION : A LITERATURE REVIEW. Cakrawala Pedagogik, 7(1), 133–144. https://doi.org/10.51499/cp.v7i1.356