Anamaria-Mirabela Pop – University of Oradea, Faculty of Economic Sciences, Universităţii 1, Oradea, 410087, Romania

Monica-Ariana Sim – University of Oradea, Faculty of Economic Sciences, Universităţii 1, Oradea, 410087, Romania

Felicia Constantin – University of Oradea, Faculty of Economic Sciences, Universităţii 1, Oradea, 410087, Romania

Keywords:
Artificial intelligence;
Education;
Philological sciences

DOI: https://doi.org/10.31410/EMAN.2024.415

Abstract: The paper aims to present an image as accurate as possible of how teaching staff perceive artificial intelligence in the current education­al context due to the profound effects that AI already has and will have on civilisation, both culturally and economically. The data analysis obtained after applying a questionnaire to philological sciences teachers in a medi­um-sized university in an Eastern European country highlighted that a rel­atively homogeneous teaching body has quite a heterogeneous approach to the AI phenomenon. As a result, there are many different ways that AI is affecting education, and they can be discussed on many different levels, including the relationships between the many stakeholders, classroom in­struction, scientific research, and the personal training of educators. The benefits and risks associated with implementing AI in education are clear, and it is imperative that appropriate training programs and ethical guide­lines be put in place before AI is used in classrooms.

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8th International Scientific Conference – EMAN 2024 – Economics and Management: How to Cope With Disrupted Times, Rome, Italy, March 21, 2024, CONFERENCE PROCEEDINGS, published by: Association of Economists and Managers of the Balkans, Belgrade, Serbia; ISBN 978-86-80194-83-7, ISSN 2683-4510, DOI: https://doi.org/10.31410/EMAN.2024

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission. 

Suggested citation
Pop, A.-M., Sim, M.-A., & Constantin, F. (2024). Investigating the Relation of Philological Sciences Teachers with AI in Education. In C. A. Nastase, A. Monda, & R. Dias (Eds.), International Scientific Conference – EMAN 2024: Vol 8. Conference Proceedings (pp. 415-425). Association of Economists and Managers of the Balkans. https://doi.org/10.31410/EMAN.2024.415

REFERENCES

Alharbi, W. (2023). AI in the Foreign Language Classroom: A Pedagogical Overview of Auto­mated Writing Assistance Tools. Education Research International, 2023, 1–15. https://doi.org/10.1155/2023/4253331

Arntz, M., Gregory, T., & Zierahn, U. (2016). The risk of automation for jobs in OECD countries. OECD Social Employment and Migration Working Papers. https://doi.org/10.1787/5jlz9h56dvq7-en

Baker, R. S. J. D., D’Mello, S. K., Rodrigo, M. M. T., & Graesser, A. C. (2010). Better to be frustrated than bored: The incidence, persistence, and impact of learners’ cognitive–affec­tive states during interactions with three different computer-based learning environments. International Journal of Human-Computer Studies, 68(4), 223–241. https://doi.org/10.1016/j.ijhcs.2009.12.003

Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. New York: W. W. Norton & Company

Chen, C., Liu, J., & Shou, W. (2018). How competition in a game-based science learning environ­ment influences students’ learning achievement, flow experience, and learning behavioral patterns. Journal of Educational Technology & Society, 21(2), 164-176. http://www.jstor.org/stable/26388392

Clark, R. C., & Mayer, R. E. (Ed.). (2016). e-Learning and the Science of Instruction: Prov­en Guidelines for Consumers and Designers of Multimedia Learning. Wiley. https://doi.org/10.1002/9781119239086.ch2

Darcy, A., Louie, A. K., & Roberts, L. W. (2016). Machine learning and the profession of medicine. JAMA, 315(6), 551. https://doi.org/10.1001/jama.2015.18421

Doroudi, S. (2022). The intertwined Histories of Artificial intelligence and Education. Interna­tional Journal of Artificial Intelligence in Education, 33(4), 885–928. https://doi.org/10.1007/s40593-022-00313-2

Duffett, R. G., Zaharia, R. M., Edu, T., Constantinescu, R., & Negricea, C. I. (2024). Exploring the antecedents of artificial intelligence products’ usage. The case of business students. Amfiteatru Economic, 26(65), 106-125. https://doi.org/10.24818/ea/2024/65/106

Duggan, S. (2020). AI in Education: Change at the Speed of Learning. UNESCO Institute for In­formation Technologies in Education. https://iite.unesco.org/wp-content/uploads/2021/05/Steven_Duggan_AI-in-Education_2020-2.pdf 

Edwards, C., Edwards, A., Spence, P. R., & 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 

Ford, M. (2015). Rise of the Robots: Technology and the Threat of a Jobless Future. New York: Basic Books.

Gayed, J. M., Carlon, M. K. J., Oriola, A. M., & Cross, J. S. (2022). Exploring an AI-based writ­ing Assistant’s impact on English language learners. Computers & Education: Artificial Intelligence, 3, 100055. https://doi.org/10.1016/j.caeai.2022.100055 

Godwin-Jones, R. (2021). Big data and language learning: opportunities and challenges. Lan­guage Learning & Technology, 25(1), 4–19. http://hdl.handle.net/10125/44747 

Gradinaru, G., Dinu, V., Rotaru, C., & Toma, A. (2024). The development of educational com­petences for Romanian students in the context of the evolution of data science and artificial intelligence. Amfiteatru Economic, 26(65), 14-32. https://doi.org/10.24818/ea/2024/65/14 

Graesser, A. C., McNamara, D. S., & VanLehn, K. (2005). Scaffolding Deep Comprehension Strategies Through Point&Query, AutoTutor, and iSTART. Educational Psychologist, 40(4), 225–234. https://doi.org/10.1207/s15326985ep4004_4 

High-Level Expert Group on Artificial Intelligence. (2019). Ethics guidelines for trustworthy AI. Brussels: European Commission. https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai  

Johnson, W. L., & Lester, J. C. (2015). Face-to-Face Interaction with Pedagogical Agents, Twen­ty Years Later. International Journal of Artificial Intelligence in Education, 26(1), 25–36. https://doi.org/10.1007/s40593-015-0065-9 

Lee, H., Vu, N. T., & Li, S. (2021). Meta Learning and Its Applications to Natural Language Processing. In Chiang, D. & Zhang, M. (Eds.). Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Tutorial Abstracts. Association for Computational Lin­guistics, 15-20. https://doi.org/10.18653/v1/2021.acl-tutorials.3 

Liu, Y., Hu, B., Yan, W., & Lin, Z. (2023). Can chatbots satisfy me? A mixed-method compar­ative study of satisfaction with task-oriented chatbots in mainland China and Hong Kong. Computers in Human Behavior, 143, 107716. https://doi.org/10.1016/j.chb.2023.107716 

Matsumoto-Royo, K., & Ramírez-Montoya, M. S. (2021). Core practices in practice-based teach­er education: A systematic literature review of its teaching and assessment process. Stud­ies in Educational Evaluation, 70, 101047. https://doi.org/10.1016/j.stueduc.2021.101047 

Mihai, L., Manescu, L. G., Laura, V., Băndoi, A., & Sitnikov, C. S. (2024). A systematic analy­sis of new approaches to digital economic education based on the use of AI technologies. Amfiteatru Economic, 26(65), 201-219. https://doi.org/10.24818/ea/2024/65/201 

Organisation for Economic Co-operation and Development (OECD). (2021). Digital Education Outlook 2021: Pushing the Frontiers with Artificial Intelligence, Blockchain and Robots, OECD Publishing. https://doi.org/10.1787/589b283f-en 

Perisic, I. (2018). How artificial intelligence is shaking up the job market. World Economic Forum. https://www.weforum.org/agenda/2018/09/artificial-intelligence-shaking-up-job-market/

Popa, I., Cioc, M. M., Breazu, A., & Popa, C. F. (2024). Identifying sufficient and necessary com­petencies in the effective use of artificial intelligence technologies. Amfiteatru Economic, 26(65), 33-52. https://doi.org/10.24818/ea/2024/65/33 

Ramos, G. (2022). A.I.’s Impact on Jobs, Skills, and the Future of Work: The UNESCO Perspective on Key Policy Issues and the Ethical Debate. New England Journal of Public Policy, 34(1). https://scholarworks.umb.edu/nejpp/vol34/iss1/3 

Russell, S., & Norvig, P. (2010). Artificial Intelligence: A Modern Approach. New Jersey: Prentice Hall.

Sămărescu, N., Bumbac, R., Zamfiroiu, A., & Iorgulescu, M. (2024). Artificial Intelligence in Edu­cation: Next-Gen Teacher Perspectives. Amfiteatru Economic, 26(65), 145-161. https://doi.org/10.24818/ea/2024/65/145 

Selwyn, N. (2019). Should robots replace teachers? AI and the Future of Education. Cambridge UK: Polity Press.

Smith, D. F. (2014, August 29). A brief history of gamification [#InfOgraPhic]. EdTech. Focus on Higher Education. https://edtechmagazine.com/higher/article/2014/07/brief-history-gamification-infographic  

Topol, E. J. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. New York: Basic Books.

Varian, H. (2019). Artificial Intelligence, Economics, and Industrial Organization. In Agrawal, A, Gans, J. and Goldfarb, A. (Eds.). The Economics of Artificial Intelligence: An Agenda (pp. 399-422). University of Chicago Press, https://doi.org/10.7208/9780226613475-018 

Warschauer, M., & Healey, D. (1998). Computers and language learning: an overview. Language Teaching, 31(2), 57–71. https://doi.org/10.1017/s0261444800012970 

Zaharia, R. M. (2024). Challenges for Competence-Oriented Education in the context of the de­velopment of Artificial Intelligence Systems. Amfiteatru Economic, 26(65), 6-11. https://doi.org/10.24818/ea/2024/65/6 

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