Artificial Intelligence in the European approach to Education: Perspectives, perceptions, and mistrust
Keywords:
Artificial Intelligence in Education, Artificial Intelligence in the European Union, AI in Educational Settings, EU’s Strategies for AI, Keyword mappingAbstract
This contribution examines the ongoing debate concerning the role of artificial intelligence in education (AIEd), and focuses on the challenges and opportunities posed by the new technologies in the EU. The future perspectives of AIEd in the EU encompass a broad spectrum of ethical, regulatory, educational, and societal considerations, reflecting a proactive and multifaceted approach to addressing the new emerging context. The paper also visualizes the intellectual map of the European academia engaged in AI-related research through bibliometrics, revealing the main topics and gaps in the current debate. The scrutiny reveals a lack of documented practical case studies to support education professionals, while the current debate focuses mostly on ethical and regulatory issues.
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
Ahern, M., O’Sullivan, D., & Bruton, K. (2022). Development of a framework to aid the transition from reactive to proactive maintenance approaches to enable energy reduction. Applied Sciences, 12(13), 6704. https://doi.org/10.3390/app12136704
Bellas, F., Guerreiro-Santalla, S., Naya-Varela, M., & Duro, R. (2022). Ai curriculum for european high schools: an embedded intelligence approach. International Journal of Artificial Intelligence in Education, 33(2), 399-426. https://doi.org/10.1007/s40593-022-00315-0
Bozkurt, A., Karadeniz, A., Bañeres, D., & Rodríguez, M. E. (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. G., Espinosa, M. P. P., & Vila, R. R. (2021). Artificial intelligence for student assessment: a systematic review. Applied Sciences, 11(12), 5467. https://doi.org/10.3390/app11125467
Cath, C., Wachter, S., Mittelstadt, B., Taddeo, M., & Floridi, L. (2017). Artificial Intelligence and the ‘good society’: The US, EU, and UK approach. Science and Engineering Ethics. https://doi.org/10.1007/s11948-017-9901-7
Chiu, T. and Chai, C. (2020). Sustainable curriculum planning for artificial intelligence education: a self-determination theory perspective. Sustainability, 12(14), 5568. https://doi.org/10.3390/su12145568
Chounta, I., Bardone, E., Raudsep, A., & Pedaste, M. (2021). Exploring teachers’ perceptions of artificial intelligence as a tool to support their practice in estonian k-12 education. International Journal of Artificial Intelligence in Education, 32(3), 725-755. https://doi.org/10.1007/s40593-021-00243-5
Clarke, L., Sahin-Dikmen, M., & Winch, C. (2020). Overcoming diverse approaches to vocational education and training to combat climate change: the case of low energy construction in europe. Oxford Review of Education, 46(5), 619-636. https://doi.org/10.1080/03054985.2020.1745167
Coppola, F., Faggioni, L., Gabelloni, M., Vietro, F., Mendola, V., Cattabriga, A., … & Golfieri, R. (2021). Human, all too human? an all-around appraisal of the “artificial intelligence revolution” in medical imaging. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.710982
Dai, Y., Liu, A., Jian-jun, Q., Guo, Y., Jong, M., Chai, C., … & Lin, Z. (2022). Collaborative construction of artificial intelligence curriculum in primary schools. Journal of Engineering Education, 112(1), 23-42. https://doi.org/10.1002/jee.20503
Deo, R., Yaseen, Z., Al-Ansari, N., Nguyen-Huy, T., Langlands, T., & Galligan, L. (2020). Modern artificial intelligence model development for undergraduate student performance prediction: an investigation on engineering mathematics courses. Ieee Access, 8, 136697-136724. https://doi.org/10.1109/access.2020.3010938
Derave, C., Genicot, N., & Hetmanska, N. (2022). The risks of trustworthy artificial intelligence: the case of the european travel information and authorisation system. European Journal of Risk Regulation, 13(3), 389-420. https://doi.org/10.1017/err.2022.5
Dergunova, Y., Aubakirova, R., Yelmuratova, B., Gulmira, T., Yuzikovna, P., & Antikeyeva, S. (2022). Artificial intelligence awareness levels of students. International Journal of Emerging Technologies in Learning (IJET), 17(18), 26-37. https://doi.org/10.3991/ijet.v17i18.32195
Dignum, V. (2021). The role and challenges of education for responsible ai. London Review of Education, 19(1). https://doi.org/10.14324/lre.19.1.01
European Commission. (2021, April 21). ANNEXES to the Communication from the Commission to the European Parliament, the European Council, the Council, the European Economic and Social Committee and the Committee of the Regions Fostering a European approach to Artificial Intelligence: Coordinated Plan on Artificial Intelligence 2021 Review (COM(2021) 205 final). Brussels.
European Commission. (2022). Directorate-General for Education, Youth, Sport and Culture, Ethical guidelines on the use of artificial intelligence (AI) and data in teaching and learning for educators. Luxembourg: Publications Office of the European Union. https://data.europa.eu/doi/10.2766/153756
Franklin, M., Ashton, H., Gorman, R., & Armstrong, S. (2022). Missing mechanisms of manipulation in the EU AI Act. The International Flairs Conference Proceedings, 35. https://doi.org/10.32473/flairs.v35i.130723
Gilbert, S., Anderson, S., Daumer, M., Li, P., Melvin, T., & Williams, R. (2023). Learning from experience and finding the right balance in the governance of artificial intelligence and digital health technologies. Journal of Medical Internet Research, 25, e43682. https://doi.org/10.2196/43682
Göçen, A. and Aydemir, F. (2020). Artificial intelligence in education and schools. Research on Education and Media, 12(1), 13-21. https://doi.org/10.2478/rem-2020-0003
Gordon, J. (2015). Glimpsing the future in the past: vet in Europe. European Journal of Education, 50(4), 440-460. https://doi.org/10.1111/ejed.12151
Gualdi, F. and Cordella, A. (2021). Artificial intelligence and decision-making: the question of accountability. Proceedings of the Annual Hawaii International Conference on System Sciences. https://doi.org/10.24251/hicss.2021.281
Hinojo-Lucena, F., Díaz, I., Cáceres-Reche, M., & Rodríguez, J. (2019). Artificial intelligence in higher education: a bibliometric study on its impact in the scientific literature. Education Sciences, 9(1), 51. https://doi.org/10.3390/educsci9010051
Honchar, L. (2022). The main challenges of dual vocational education and training system transfer. Education Modern Discourses, (5), 110-117. https://doi.org/10.37472/2617-3107-2022-5-08
How, M. and Hung, D. (2019). Educational stakeholders’ independent evaluation of an artificial intelligence-enabled adaptive learning system using Bayesian network predictive simulations. Education Sciences, 9(2), 110. https://doi.org/10.3390/educsci9020110
Kamalov, F., Thabtah, F., & Gurrib, I. (2021). Autocorrelation for time series with linear trend. 2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT). https://doi.org/10.1109/3ict53449.2021.9581809
Katulić, T. (2021). Towards the trustworthy ai. Medijska Istraživanja, 26(2), 9-28. https://doi.org/10.22572/mi.26.2.1
Khan, M. S., Nayebpour, M., Li, M., El‐Amine, H., Koizumi, N., & Olds, J. L. (2022). Explainable ai: a neurally-inspired decision stack framework. Biomimetics, 7(3), 127. https://doi.org/10.3390/biomimetics7030127
Khare, K., Stewart, B., & Khare, A. (2018). Artificial intelligence and the student experience: an institutional perspective. IAFOR Journal of Education, 6(3), 63-78. https://doi.org/10.22492/ije.6.3.04
Krakowski, A., Greenwald, E., Hurt, T., Nonnecke, B., & Cannady, M. (2022). Authentic integration of ethics and ai through sociotechnical, problem-based learning. Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 12774-12782. https://doi.org/10.1609/aaai.v36i11.21556
Li, J. and Pilz, M. (2021). International transfer of vocational education and training: a literature review. Journal of Vocational Education and Training, 75(2), 185-218. https://doi.org/10.1080/13636820.2020.1847566
Lova, J. G., Bueno-Delgado, M. V., Cañavate-Cruzado, G., & Garrido-Lova, J. (2021). Twin transition through the implementation of industry 4.0 technologies: desk-research analysis and practical use cases in Europe. Sustainability, 13(24), 13601. https://doi.org/10.3390/su132413601
Lozano, A.; Blanco Fontao, C. (2023). Is the Education System Prepared for the Irruption of Artificial Intelligence? A Study on the Perceptions of Students of Primary Education Degree from a Dual Perspective: Current Pupils and Future Teachers. Educ. Sci., 13(7), 33. https://doi.org/10.3390/educsci13070733
Minkkinen, M., Zimmer, M., & Mäntymäki, M. (2022). Co-shaping an ecosystem for responsible ai: five types of expectation work in response to a technological frame. Information Systems Frontiers, 25(1), 103-121. https://doi.org/10.1007/s10796-022-10269-2
Moral-Sánchez, S. N., Ruiz Rey, F. J., & Cebrián-de-la-Serna, M. (2023). Analysis of artificial intelligence chatbots and satisfaction for learning in mathematics education. IJERI: International Journal of Educational Research and Innovation, (20), 1–14. https://doi.org/10.46661/ijeri.8196
Niet, I. (2022). Between vision and practice: lack of alignment between ai strategies and energy regulations in the dutch electricity sector. Discover Artificial Intelligence, 2(1). https://doi.org/10.1007/s44163-022-00040-6
Niet, I., Est, R., & Veraart, F. (2021). Governing ai in electricity systems: reflections on the eu artificial intelligence bill. Frontiers in Artificial Intelligence, 4. https://doi.org/10.3389/frai.2021.690237
Park, W. and Kwon, H. (2023). Implementing artificial intelligence education for middle school technology education in republic of Korea. International Journal of Technology and Design Education, 34, 109-135. https://doi.org/10.1007/s10798-023-09812-2
Pelta, D. A., Verdegay, J. L., Lamata, M. T., & Corona, C. C. (2020). Trust dynamics and user attitudes on recommendation errors: preliminary results. arXiv. https://doi.org/10.48550/arxiv.2002.04302
Pesapane, F., Volonté, C., Codari, M., & Sardanelli, F. (2018). Artificial intelligence as a medical device in radiology: Ethical and regulatory issues in Europe and the United States. Insights Into Imaging, 9(5), 745-753. https://doi.org/10.1007/s13244-018-0645-y
Pozo-Llorente, M. and Vilches, M. (2020). Conditioning factors of sustainability of dual vocational educational training in Andalusia (Spain): Case study of three educational centres. Sustainability, 12(22), 9356. https://doi.org/10.3390/su12229356
Renz, A., Krishnaraja, S., & Gronau, E. (2020). Demystification of artificial intelligence in education – how much ai is really in the educational technology?. International Journal of Learning Analytics and Artificial Intelligence for Education (IJAI), 2(1), 14. https://doi.org/10.3991/ijai.v2i1.12675
Rodríguez, J. and Stendardi, D. (2023). The implementation of dual vocational education and training in Spain: analysis of company tutors in the tourism sector. International Journal for Research in Vocational Education and Training, 10(1), 90-112. https://doi.org/10.13152/ijrvet.10.1.5
Šćepanović, V. and Artiles, A. (2020). Dual training in europe: a policy fad or a policy turn?. Transfer European Review of Labour and Research, 26(1), 15-26. https://doi.org/10.1177/1024258919898317
Scharnhorst, U. and Kammermann, M. (2020). Who is included in vet, who not?. Education + Training, 62(6), 645-658. https://doi.org/10.1108/et-11-2019-0248
Schmid, S., Riebe, T., & Reuter, C. (2022). Dual-use and trustworthy? A mixed methods analysis of ai diffusion between civilian and defense R&D. Science and Engineering Ethics, 28(2). https://doi.org/10.1007/s11948-022-00364-7
Slimi, Z. (2021). The impact of ai implementation in higher education on educational process future: a systematic review. Research Square. https://doi.org/10.21203/rs.3.rs-1081043/v1
Smuha, N. (2019). The EU approach to ethics guidelines for trustworthy Artificial Intelligence. Computer Law Review International, 20(4), 97-106. https://doi.org/10.9785/cri-2019-200402
Tacconi, G., Tūtlys, V., Perini, M., & Gedvilienė, G. (2021). Development of pedagogical competencies of the vocational teachers in Italy and Lithuania: Implications of competence-based vet curriculum reforms. European Journal of Training and Development, 45(6/7), 526-546. https://doi.org/10.1108/ejtd-03-2020-0041
Tuomi, I. (2018). The Impact of Artificial Intelligence on Learning, Teaching, and Education. In M. Cabrera, R. Vuorikari, & Y. Punie (Eds.), Policies for the future (EUR 29442 EN). Luxembourg: Publications Office of the European Union. https://doi.org/10.2760/12297
Tūtlys, V. and Spöttl, G. (2017). From the analysis of work-processes to designing competence-based occupational standards and vocational curricula. European Journal of Training and Development, 41(1), 50-66. https://doi.org/10.1108/ejtd-10-2015-0078
Tūtlys, V., Gedvilienė, G., & Vaiciukyniene, S. (2018). Legal regulations for advertising vocational education and training services: case study of Lithuania. European Scientific Journal ESJ, 14(22), 202. https://doi.org/10.19044/esj.2018.v14n22p202
Ulnicane, I. (2022). ‘Emerging technology for economic competitiveness or societal challenges? Framing purpose in Artificial Intelligence policy’, Global Public Policy and Governance, 2(3), 326-345. https://doi.org/10.1007/s43508-022-00049-8
Wang, C., Teo, T. S. H., & Janssen, M. (2021). Public and private value creation using artificial intelligence: an empirical study of ai voice robot users in Chinese public sector. International Journal of Information Management, 61, 102401. https://doi.org/10.1016/j.ijinfomgt.2021.102401
Zalite, G. and Zvirbule, A. (2020). Digital readiness and competitiveness of the eu higher education institutions: the covid-19 pandemic impact. Emerging Science Journal, 4(4), 297-304. https://doi.org/10.28991/esj-2020-01232
Zhao, W., Mao, J., & Lu, K. (2018). Ranking themes on co-word networks: Exploring the relationships among different metrics. Information Processing & Management, 54(2), 203–218. https://doi.org/10.1016/j.ipm.2017.11.005
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