The Role of Artificial Intelligence in Shaping the Future of Education: Opportunities and Challenges

Authors

DOI:

https://doi.org/10.57125/FED.2024.03.25.08

Keywords:

artificial intelligence tools, automation, intelligent tutoring systems, personalized learning, Virtual Reality

Abstract

Artificial intelligence has become a booming technology whereas it brings numerous positive changes within the educational process. The aim of the research is to describe the role of artificial intelligence in education through the analysis of its opportunities and challenges. The study involved the integration of qualitative (interviews, focus groups, and classroom observations) and quantitative methods (survey and statistical analysis). All the research procedures were organized according to the ethical standards for data collection and analysis. Over 50 recent scientific works were selected to analyze the research problem from different perspectives and present its comprehensive overview. The study involved 56 participants representing instructors from different institutions of higher education in Ukraine. The inclusion criteria were based on subject specialization, institution type, curriculum accreditation, and experience with artificial intelligence technologies. It was found that the positive impacts of artificial intelligence include personalized and adaptive learning, automated administrative tasks, enhanced support, e-learning facilitation, inclusivity, data-driven decision making, gamification, increased engagement, behaviour and predictive analytics, improved assessment. The challenges concerned the data privacy, security, bias, lack of understanding, transparency, necessity for additional training. The findings showed that the implementation of artificial intelligence through personalized learning, predictive analytics, intelligent tutoring systems, content creation systems, Virtual Reality, automated administrative tasks, and chatbots can shape the educational process effectively in future and modernize the future specialists’ training. The research results can be used within the educational institutions to increase the awareness of using artificial intelligence tools.

References

Ahmad, S. F, Alam, M. M, Rahmat, M. K, Mubarik, M.S., & Hyder, S. I. (2022). Academic and Administrative Role of Artificial Intelligence in Education. Sustainability, 14(3), 1101. https://doi.org/10.3390/su14031101.

Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2(3), 431–440. https://doi.org/10.1007/s43681-021-00096-7.

Akyuz, Y. (2020) Effects of Intelligent Tutoring Systems (ITS) on Personalized Learning (PL). Creative Education, 11, 953-978. https://doi.org/10.4236/ce.2020.116069.

Annuš, N. (2023). Chatbots in Education: The impact of Artificial Intelligence based ChatGPT on Teachers and Students. International Journal of Advanced Natural Sciences and Engineering Researches, 7(4), 366–370. https://doi.org/10.59287/ijanser.739.

Bakhov, I., Opolska, N., Bogus, M., Anishchenko, V., & Biryukova, Y. (2021). Emergency Distance Education in the Conditions of COVID-19 Pandemic: Experience of Ukrainian Universities. Education Sciences, 11(7), 364. https://doi.org/10.3390/educsci11070364.

Baranovska, L., Simkova, I., Akilli, E., Tarnavska, T., & Glushanytsia, N. (2023). Development of digital competence of future philologists: case of Turkish and Ukrainian universities. Advanced Education, 23, 87-102. https://doi.org/10.20535/2410-8286.295458.

Bujold, A., Roberge-Maltais, I., Parent-Rocheleau, X., Boasen, J., Sénécal, S., & Léger, P.-M. (2023). Responsible artificial intelligence in human resources management: A review of the empirical literature. AI and Ethics. https://doi.org/10.1007/s43681-023-00325-1

Chang, D. H., Lin, M. P.-C., Hajian, S., & Wang, Q. Q. (2023). Educational Design Principles of Using AI Chatbot That Supports Self-Regulated Learning in Education: Goal Setting, Feedback, and Personalization. Sustainability, 15(17), article number 12921. https://doi.org/10.3390/su151712921/

Chiu, T. K. F., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, 4, article number 100118. https://doi.org/10.1016/j.caeai.2022.100118.

Chmyr, V. & Bhinder, N. (2023). AI in the Higher Military Institutions: Challenges and Perspectives for Military Engineering Training. Rupkatha Journal, 15(4). https://doi.org/10.21659/rupkatha.v15n4.11.

Danylchenko-Cherniak, O. (2023). Creative and collaborative learning during Russian-Ukrainian war period: Philological aspects. Philological Treatises, 15(1), 51–61.

Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future healthcare journal, 6(2), 94–98. https://doi.org/10.7861/futurehosp.6-2-94.

Diwan, C., Srinivasa, S., Suri, G., Agarwal, S., & Ram, P. (2023). AI-based learning content generation and learning pathway augmentation to increase learner engagement. Computers and Education: Artificial Intelligence, 4, article number 100110. https://doi.org/10.1016/j.caeai.2022.100110.

European Commission. (2021). Proposal for a Regulation of the European Parliament and of the Council laying down harmonized rules on Artificial Intelligence (Artificial Intelligence Act) and amending certain Union legislative acts. Retrieved from: https://artificialintelligenceact.eu/the-act.

Firat, M. (2023). Integrating AI Applications into Learning Management Systems to Enhance e-Learning. Instructional Technology and Lifelong Learning, 4(1), 1-14. https://doi.org/10.52911/itall.1244453.

Foltynek, T., Bjelobaba, S., Glendinning, I., Khan, Z. R., Santos, R., Pavletic, P., & Kravjar, J. (2023). ENAI Recommendations on the ethical use of Artificial Intelligence in Education. International Journal for Educational Integrity, 19, 12. https://doi.org/10.1007/s40979-023-00133-4.

Fütterer, T., Fischer, C., Alekseeva, A., Chen, X., Tate, T., Warschauer, M., & Gerjets, P. (2023). ChatGPT in education: global reactions to AI innovations. Scientific Reports, 13, article number 15310. https://doi.org/10.1038/s41598-023-42227-6.

Gao, X., & Feng, H. (2023). AI-Driven Productivity Gains: Artificial Intelligence and Firm Productivity. Sustainability, 15(11), article number 8934. https://doi.org/10.3390/su15118934.

Gardezi, M., Joshi, B., Rizzo, D. M., Ryan, M., Prutzer, E., Brugler, S., & Dadkhah, A. (2023). Artificial intelligence in farming: Challenges and opportunities for building trust. Agronomy Journal, 1–12. https://doi.org/10.1002/agj2.21353.

George, B., & Wooden, O. (2023). Managing the Strategic Transformation of Higher Education through Artificial Intelligence. Administrative Sciences, 13(9), 196. https://doi.org/10.3390/admsci13090196.

Gligorea, I., Cioca, M., Oancea, R., Gorski, A.-T., Gorski, H., & Tudorache, P. (2023). Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review. Education Sciences, 13(12), article number 1216. https://doi.org/10.3390/educsci13121216.

González-Calatayud, V., Prendes-Espinosa, P., & Roig-Vila, R. (2021). Artificial Intelligence for Student Assessment: A Systematic Review. Applied Sciences, 11(12), article number 5467. https://doi.org/10.3390/app11125467.

Grassini, S. (2023). Shaping the Future of Education: Exploring the Potential and Consequences of AI and ChatGPT in Educational Settings. Education Sciences, 13(7), 692. https://doi.org/10.3390/educsci13070692.

Grubaugh, S., Levitt, G., & Deever, D. (2023). Harnessing AI to Power Constructivist Learning: An Evolution in Educational Methodologies. EIKI Journal of Effective Teaching Methods, 1(3). https://doi.org/10.59652/jetm.v1i3.43.

Guo, L., Wang, D., Gu, F., Li, Y., Wang, Y., & Zhou, R. (2021). Evolution and trends in intelligent tutoring systems research: a multidisciplinary and scientometric view. Asia Pacific Education Review, 22(3), 441–461. https://doi.org/10.1007/s12564-021-09697-7.

Jain, H., Dhupper, R., Shrivastava, A., Kumar, D., & Kumari, M. (2023). AI-enabled strategies for climate change adaptation: protecting communities, infrastructure, and businesses from the impacts of climate change. Computational Urban Science, 3, 25. https://doi.org/10.1007/s43762-023-00100-2.

Jevinger, Å., Zhao, C., Persson, J. A., & Davidsson, P. (2023). Artificial intelligence for improving public transport: a mapping study. Public Transport. https://doi.org/10.1007/s12469-023-00334-7.

Jiang, B., Li, X., Yang, S., Kong, Y., Cheng, W., Hao, C., & Lin, Q. (2022). Data-Driven Personalized Learning Path Planning Based on Cognitive Diagnostic Assessments in MOOCs. Applied Sciences, 12(8), article number 3982. https://doi.org/10.3390/app12083982.

Kamalov, F., Santandreu Calonge, D., & Gurrib, I. (2023). New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution. Sustainability, 15(16), article number 12451. https://doi.org/10.3390/su151612451.

Kamruzzaman, M. M., Alanazi, S., Alruwaili, M., Alshammari, N., Elaiwat, S., Abu-Zanona, M., Innab, N., Mohammad Elzaghmouri, B., & Ahmed Alanazi, B. (2023). AI- and IoT-Assisted Sustainable Education Systems during Pandemics, such as COVID-19, for Smart Cities. Sustainability, 15(10), article number 8354. https://doi.org/10.3390/su15108354.

Kaur, R., Gabrijelčič, D., & Klobučar, T. (2023). Artificial intelligence for cybersecurity: Literature review and future research directions. Information Fusion, 97, article number 101804. https://doi.org/10.1016/j.inffus.2023.101804.

Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for Language Teaching and Learning. RELC Journal, 54(2), 537-550. https://doi.org/10.1177/00336882231162868.

Labadze, L., Grigolia, M., & Machaidze, L. (2023). Role of AI chatbots in education: systematic literature review. International Journal of Educational Technology in Higher Education, 20, 56. https://doi.org/10.1186/s41239-023-00426-1.

Lee, J. H., Shin, D., & Noh, W. (2023). Artificial Intelligence-Based Content Generator Technology for Young English-as-a-Foreign-Language Learners’ Reading Enjoyment. RELC Journal, 54(2), 508-516. https://doi.org/10.1177/00336882231165060.

Leon, C. G. R. M. P., Mano, L. Y., Fernandes, D. D. S., Paula, R. A. P., Brasil, G. D. C., & Ribeiro, L. M. (2023). Artificial intelligence in the analysis of emotions of nursing students undergoing clinical simulation. Revista brasileira de enfermagem, 76(Suppl 4), article number e20210909. https://doi.org/10.1590/0034-7167-2021-0909.

Lin, C. C., Huang, A. Y. Q., & Lu, O. H. T. (2023). Artificial intelligence in intelligent tutoring systems toward sustainable education: a systematic review. Smart Learning Environments, 10, 41. https://doi.org/10.1186/s40561-023-00260-y.

Ma, Y., Wang, L., Zhang, J., Liu, F., & Jiang, Q. (2023). A Personalized Learning Path Recommendation Method Incorporating Multi-Algorithm. Applied Sciences, 13(10), 5946. https://doi.org/10.3390/app13105946.

Memarian, B., & Doleck, T. (2023a). ChatGPT in education: Methods, potentials, and limitations. Computers in Human Behavior: Artificial Humans, 1(2), article number 100022. https://doi.org/10.1016/j.chbah.2023.100022.

Memarian, B., & Doleck, T. (2023b). Fairness, Accountability, Transparency, and Ethics (FATE) in Artificial Intelligence (AI) and higher education: A systematic review. Computers and Education: Artificial Intelligence, 5, article number 100152. https://doi.org/10.1016/j.caeai.2023.100152.

Montenegro-Rueda, M., Fernández-Cerero, J., Fernández-Batanero, J. M., & López-Meneses, E. (2023). Impact of the Implementation of ChatGPT in Education: A Systematic Review. Computers, 12(8), 153. https://doi.org/10.3390/computers12080153.

Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguye, B.-P. T. (2023). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28, 4221–4241. https://doi.org/10.1007/s10639-022-11316-w.

Nosenko, Y. H., Popel, M. V., & Shyshkina, M. P. (2019). The state of the art and perspectives of using adaptive cloud-based learning systems in higher education pedagogical institutions (the scope of Ukraine). CTE Workshop Proceedings, 6, 173–183. https://doi.org/10.55056/cte.377.

Pantelimon, F.-V., Bologa, R., Toma, A., & Posedaru, B.-S. (2021). The Evolution of AI-Driven Educational Systems during the COVID-19 Pandemic. Sustainability, 13(23), article number 13501. https://doi.org/10.3390/su132313501.

Parycek, P., Schmid, V., & Novak, A. S. (2023). Artificial Intelligence (AI) and Automation in Administrative Procedures: Potentials, Limitations, and Framework Conditions. Journal of the Knowledge Economy. https://doi.org/10.1007/s13132-023-01433-3.

Rahmani, A. M., Azhir, E., Ali, S., Mohammadi, M., Ahmed, O. H., Yassin Ghafour, M., Hasan Ahmed, S., & Hosseinzadeh, M. (2021). Artificial intelligence approaches and mechanisms for big data analytics: a systematic study. PeerJ. Computer science, 7, article number e488. https://doi.org/10.7717/peerj-cs.488.

Rojek, I., Jasiulewicz-Kaczmarek, M., Piechowski, M., & Mikołajewski, D. (2023). An Artificial Intelligence Approach for Improving Maintenance to Supervise Machine Failures and Support Their Repair. Applied Sciences, 13(8), 4971. https://doi.org/10.3390/app13084971.

Ruiz-Rojas, L. I., Acosta-Vargas, P., De-Moreta-Llovet, J., & Gonzalez-Rodriguez, M. (2023). Empowering Education with Generative Artificial Intelligence Tools: Approach with an Instructional Design Matrix. Sustainability, 15(15), article number 11524. https://doi.org/10.3390/su151511524.

Santos Garduño, H. A., Esparza Martínez, M. I., & Portuguez Castro, M. (2021). Impact of Virtual Reality on Student Motivation in a High School Science Course. Applied Sciences, 11(20), 9516. https://doi.org/10.3390/app11209516.

Serin, H. (2020). Virtual Reality in Education from the Perspective of Teachers. Amazonia Investiga, 9(26), 291-303. https://doi.org/10.34069/AI/2020.26.02.33.

Sghir, N., Adadi, A., & Lahmer, M. (2023). Recent advances in Predictive Learning Analytics: A decade systematic review (2012–2022). Education and Information Technologies, 28, 8299–8333. https://doi.org/10.1007/s10639-022-11536-0.

Shemshack, A., & Spector, J. M. (2020). A systematic literature review of personalized learning terms. Smart Learning Environments, 7, 33. https://doi.org/10.1186/s40561-020-00140-9.

Singh, N., Gunjan, V. K., Mishra, A. K., Mishra, R. K., & Nawaz, N. (2022). SeisTutor: A Custom-Tailored Intelligent Tutoring System and Sustainable Education. Sustainability, 14(7), 4167. https://doi.org/10.3390/su14074167.

Spivakovsky, O. V., Omelchuk, S. A., Kobets, V. V., Valko, N. V., & Malchykova, D. S. (2023). Institutional policies of artificial intelligence in university learning, teaching, and research. Information Technologies and Learning Tools, 97(5), 181–202. https://doi.org/10.33407/itlt.v97i5.5395.

Stepanenko, O., & Stupak, O. (2023). The use of GPT Chat among students in Ukrainian universities. Scientific Journal of Polonia University, 58(3), 202-207. https://doi.org/10.23856/5828.

Syed Mustapha, S. M. F. D. (2023). Predictive Analysis of Students’ Learning Performance Using Data Mining Techniques: A Comparative Study of Feature Selection Methods. Applied System Innovation, 6(5), 86. https://doi.org/10.3390/asi6050086.

Tan, D. Y., & Cheah, C. W. (2021). Developing a gamified AI-enabled online learning application to improve students’ perception of university physics. Computers and Education: Artificial Intelligence, 2, article number 100032. https://doi.org/10.1016/j.caeai.2021.100032.

Veluvali, P., & Surisetti, J. (2022). Learning Management System for Greater Learner Engagement in Higher Education – A Review. Higher Education for the Future, 9(1), 107-121. https://doi.org/10.1177/23476311211049855.

Wu, R., & Yu, Z. (2024). Do AI chatbots improve students learning outcomes? Evidence from a meta-analysis. British Journal of Educational Technology, 55(1), 10-33. https://doi.org/10.1111/bjet.13334.

Yordanova, Z. (2020). Gamification as a Tool for Supporting Artificial Intelligence Development – State of Art. In: Botto-Tobar, M., Zambrano Vizuete, M., Torres-Carrión, P., Montes León, S., Pizarro Vásquez, G., Durakovic, B. (eds) Applied Technologies. ICAT 2019. Communications in Computer and Information Science. Springer, Cham. https://doi.org/10.1007/978-3-030-42517-3_24.

Yu, H. (2024). The application and challenges of ChatGPT in educational transformation: New demands for teachers' roles. Heliyon, 10(2), article number e24289. https://doi.org/10.1016/j.heliyon.2024.e24289.

Yuskovych-Zhukovska, V., Poplavska, T., Diachenko, O., Mishenina, T., Topolnyk, Y., & Gurevych, R. (2022). Application of Artificial Intelligence in Education. Problems and Opportunities for Sustainable Development. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 13(1Sup1), 339-356. https://doi.org/10.18662/brain/13.1Sup1/322.

Zhao, J., & Gómez Fariñas, B. (2023). Artificial Intelligence and Sustainable Decisions. European Business Organization Law Review, 24, 1–39. https://doi.org/10.1007/s40804-022-00262-2.

Zhao, X., Ren, Y., & Cheah, K. S. L. (2023). Leading Virtual Reality (VR) and Augmented Reality (AR) in Education: Bibliometric and Content Analysis From the Web of Science (2018–2022). SAGE Open, 13(3). https://doi.org/10.1177/21582440231190821.

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Published

2024-02-13

How to Cite

Ivanashko, O., Kozak, A., Knysh, T., & Honchar, K. (2024). The Role of Artificial Intelligence in Shaping the Future of Education: Opportunities and Challenges. Futurity Education, 4(1), 126–146. https://doi.org/10.57125/FED.2024.03.25.08