Η ετοιμότητα των εκπαιδευτών να ενσωματώσουν συστήματα και εφαρμογές Τεχνητής Νοημοσύνης στην εκπαίδευση. Μια εμπειρική έρευνα του πεδίου στην Ελλάδα, τάσεις και προοπτικές


Σοφία Πουλημένου
Ευγενία Πανιτσίδου
Abstract

Η Τεχνητή Νοημοσύνη (ΤΝ) συνιστά μια σύγχρονη πραγματικότητα με πολλές εφαρμογές στην καθημερινή και επαγγελματική ζωή των ανθρώπων. Στην εκπαίδευση πολλές εκπαιδευτικές διαδικασίες συντελούνται πλέον με τη συνέργεια της ΤΝ, καλώντας όλους τους εμπλεκόμενους και κυρίως τους εκπαιδευτές  να δραστηριοποιηθούν σε εντελώς νέα μαθησιακά περιβάλλοντα. Σκοπός της παρούσας μελέτης είναι, μέσω μιας ποσοτικής έρευνας, η αποτύπωση των απόψεων των εκπαιδευτών της ελληνικής επικράτειας αναφορικά με την ετοιμότητά τους να ενσωματώσουν την ΤΝ στην εκπαιδευτική τους πρακτική και ταυτόχρονα να αναδειχθούν οι σημαντικότερες προκλήσεις που εγείρονται. Οι εκπαιδευτές φαίνεται να έχουν συνειδητοποιήσει πως τα συστήματα ΤΝ είναι ιδιαίτερα επωφελή για την εκπαίδευση και η ετοιμότητά τους να τα ενσωματώσουν στην εκπαιδευτική τους πρακτική βρίσκεται σε σχετικά υψηλά επίπεδα, ενώ ανησυχούν περισσότερο για τις αρνητικές επιπτώσεις που μπορεί να έχει η ΤΝ στη φύση και τη διαδικασία της μάθησης.  

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Literaturhinweise
Agbo, J. N., Nmadu, J., Nduibisi, M. C., Yero, S., Gwoza, M. L., & Egah, G. O. (2022). Awareness, Willingness and Readiness of Pre-Service Teachers to Deploy Artificial Intelligence in Education in Ebonyi State. AJSTM, 8(1), 25-31.
Ali, A. (2023). Assessing Artificial Intelligence Readiness of Faculty in Higher Education: Comparative Case Study of Egypt (Doctoral dissertation, The American University in Cairo(Egypt).https://fount.aucegypt.edu/etds/2096?utm_source=fount.aucegypt.edu%2Fetds%2F2096&utm_medium=PDF&utm_campaign=PDFCoverPages
Alnasib, B. N. (2023). Factors Affecting Faculty Members’ Readiness to Integrate Artificial Intelligence into Their Teaching Practices: A Study from the Saudi Higher Education Context. International Journal of Learning, Teaching and Educational Research, 22(8), 465-491.
Anastasiades, P. (2023). Artificial Intelligence in Education: Pilot study to explore teachers’ views in Greece. Proceedings of the World Research Society International Conference, September 21-22, Zarga, Jordan.
Arpilleda, Y., Oracion, R., Arpileda, A. & Chua, l. (2023). Teachers' Knowledge, Attitudes, Beliefs, and Instructional Practices in Education 4.0. Cognizance Journal of Multidisciplinary Studies, 3(2), 73-82.
Attwell, G., Deitmer, L, Tūtlys, T., Roppertz, S., & Perini, M. (2020). Digitalisation, artificialintelligence and vocational occupations and skills: What are the needs for training teachers and trainers? In C. Nägele, B. E. Stalder, & N. Kersh (Eds.), Trends in vocational education andtraining research, Vol. III. Proceedings of the European Conference on Educational Research (ECER), Vocational Education and Training Network (VETNET), pp.30–42. https://doi.org/10.5281/zenodo.4005713
Ayanwale, M., Sanusi, I., Adelana, O., Aruleba, K., & Oyelere S. (2022). Teachers’ readiness and intention to teach artificial intelligence in schools. Computers and Education: Artificial Intelligence, 3. https://doi.org/10.1016/j.caeai.2022.100099
Bandura, A. (1989). Regulation of cognitive processes through perceived self-efficacy. Developmental Psychology, 25(5), 729-735. https://doi.org/10.1037/0012-1649.25.5.729
Breines, M. R., & Gallagher, M. (2020). A return to Teacherbot: Rethinking the development of educational technology at the University of Edinburgh. Teaching in Higher Education, 1–15. https://doi.org/10.1080/13562517.2020.1825373
Celik, I. (2023). Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. Computers in Human Behavior, 138. https://doi.org/10.1016/j.chb.2022.107468
Chiu, Th. & Chai, C. (2020). Sustainable Curriculum Planning for Artificial Intelligence Education: A Self-determination Theory Perspective. Sustainability, 12, 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. https://www.researchgate.net/publication/352066912
Cohen, L., & Manion, L. (1994). Research Methοds in Education. 4th ed. Routledge Publications.
Creswell, J.W. (2009). Research design, Qualitative, Quantitative, and Mixed Methods Approaches. 3rd Edition. SAGE Publications.
Davis, F. D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of Information technology. MIS Quarterly, 13(3), 319–339.
Ευρωπαϊκή Επιτροπή (2022). Δεοντολογικές κατευθυντήριες γραμμές σχετικά με την χρήση της Τεχνητής Νοημοσύνης (ΤΝ) και των Δεδομένων στη Διδασκαλία και τη Μάθηση για Εκπαιδευτικούς. Λουξεμβούργο ΦΕΚ 2894/Β/5-7-2021
Gupta, K.P. & Bhaskar, P. (2023). ‘Teachers’ intention to adopt virtual reality technology in management education’, International Journal of Learning and Change, 15(1), pp.28–50.
Hasas, A., Hakimi, M., Shahidzay, A. K., & Fazil, A. W. (2024). AI for Social Good: Leveraging Artificial Intelligence for Community Development. Journal of Community Service and Society Empowerment, 2(2), 196–210. https://doi.org/10.59653/jcsse.v2i02.592
Kang, H. (2023), "Artificial intelligence and its influence in adult learning in China", Higher Education, Skills and Work-Based Learning, 13(3), pp. 450-464. https://doi.org/10.1108/HESWBL-01-2023-0017
Kaplan-Rakowski, R., Grotewold, K., Hartwick, P. & Papin, K. (2023). Generative AI and Teachers’ Perspectives on Its Implementation in Education. Journal of Interactive Learning Research, 34(2), 313-338. https://www.learntechlib.org/primary/p/222363/
Καρανικόλα Ζ., Παναγιωτόπουλος Γ., & Ζωγόπουλος Κ. (2022). Ικανότητες Εκπαιδευτικών και Μάθηση στην 4η Βιομηχανική Επανάσταση. Πρακτικά εργασιών 11th International Conference in Open & Distance Learning, Athens, Greece, 26-28 November 2021. https://eproceedings.epublishing.ekt.gr/index.php/openedu/article/view/3394
Karyn E. Miller, Riley, J., & Laura, S. (2021). School Belonging Matters Now More Than Ever: Preparing Teachers to Foster A Technology-Mediated Culture of Care. In Ferdig, R.E. & Pytash, K.E. (Eds), What Teacher Educators Should Have Learned from 2020. Association for the Advancement of Computing in Education (AACE). https://www.learntechlib.org/p/219088/
Kohnke, L., Moorhouse, B.L. & Zou, D. (2023). Exploring generative artificial intelligence preparedness among university language instructor: A case study. Computers and Education: Artificial Intelligence, 5. https://doi.org/10.1016/j.caeai.2023.100156
Laupichler, M., Aster, A., Schirch, J. & Raupach, T. (2022). Artificial intelligence literacy in higher and adult education: A scoping literature review. Computers and Education: Artificial Intelligence, 3. https://doi.org/10.1016/j.caeai.2022.100101
Lindner, A. & Romeike, R. (2019). Teachers' Perspectives on Artificial Intelligence. https://www.researchgate.net/publication/337716601_Teachers'_Perspectives_on_Artificial_Intelligence
Luckin, R., Cukurova, M., Kent, C., & Du Boulay, B. (2022). Empowering educators to be AI-ready. Computers and Education, 3. https://doi.org/10.1016/j.caeai.2022.100076
McGrath, C., Pargam, T., Juth, N. & Palmgren, P. (2023). University teachers’ perceptions of responsibility and artificial intelligence in higher education - An experimental philosophical study. Computers and Education: Artificial Intelligence, 4. https://doi.org/10.1016/j.caeai.2023.100139
Meccawy, M. (2023). Teachers’ prospective attitudes towards the adoption of extended reality technologies in the classroom: Interests and concerns. Smart Learning Environments, 10(1), 36. https://doi.org/10.1186/s40561-023-00256-8
Nelson, R. M., Mollenkopf, D. A. W. N., & Gaskill, M. A. R. T. O. N. I. A. (2020). The four pillars of digitally infused education: Transcending modalities in a post-COVID learning environment. What teacher educators should have learned from, 79-90.
Παναγιωτόπουλος, Γ. (2021). 4η Βιομηχανική Επανάσταση: Η πρόκληση της διαχείρισης των νέων συνθηκών από τους εκπαιδευτικούς. Κοινωνικό Πολύκεντρο, ΑΔΕΔΥ.
Pedró, Fr., Subosa, M., Rivas, A. &Valverde, P. (2019). Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development. Unesco.
Robson, C. (2010). Η Έρευνα του πραγματικού κόσμου- Ένα μέσον για κοινωνικούς επιστήμονες και επαγγελματίες ερευνητές. Εκδόσεις Gutenberg.
Roy, R., Babakerkhell, M., Mukherjee, S., Pal, D. & Funilkul, S. (2022). Evaluating the Intention for the Adoption of Artificial Intelligence-Based Robots in the University to Educate the Students. DOI:10.1109/ACCESS.2022.3225555
Sanusi, I.T., Ayanwale, M.A. & Chiu, T.K.F (2024). Investigating the moderating effects of social good and confidence on teachers' intention to prepare school students for artificial intelligence education. Education and Information Technologies, 29, 273–295. https://doi.org/10.1007/s10639-023-12250-1
Skhephe, M., & Caga, & Boadzo, R. (2020). Accounting teachers’ readiness for e-learning in the Fourth Industrial Revolution: A case of selected high schools in the Eastern Cape, South Africa. Perspectives in Education. 38, 43-57. http://dx.doi.org/10.18820/2519593X/pie.v38i1.4
Srinivasan, V. (2022). AI & learning: A preferred future. Computers and Education: Artificial Intelligence, 3. https://doi.org/10.1016/j.caeai.2022.100062
UNESCO (2019). The 2019 UNESCO Recommendation on Open Educational Resources (OER): supporting universal access to information through quality open learning materials. https://unesdoc.unesco.org/ark:/48223/pf0000383205
UNESCO (2023). Global Education Monitoring Report Summary 2023: Technology in education: A tool on whose terms? https://www.unesco.org/gem-report/en/technology
United Nations (2018). The 2030 Agenda and the Sustainable Development Goals: An opportunity for Latin America and the Caribbean (LC/G.2681-P/Rev.3), Santiago. https://repositorio.cepal.org/bitstream/handle/11362/40156/25/S1801140_en.pdf
Uygan, D. (2024). Teachers’ perspectives on artificial intelligence in education. Advances in Mobile Learning Educational Research, 4(1), 931-939. https://doi.org/10.25082/AMLER.2024.01.005
Vincent- Lancrin, S. & van der Vlies, R. (2020). Trustworthy artificial intelligence (AI) in education: promises and challenges, OECD Education Working Paper No. 218.
Wang, X., Li, L., Tan, S. C., Yang, L., & Lei, J. (2023). Preparing for AI-enhanced education: Conceptualizing and empirically examining teachers’ AI readiness. Computers in Human Behavior, 146. https://www.researchgate.net/publication/370318810_Preparing_for_AI-enhanced_education_Conceptualizing_and_empirically_examining_teachers'_AI_readiness
Woodruff, K., Hutson, J. & Arnone, K. (2023). Perceptions and Barriers to Adopting Artificial Intelligence in K-12 Education: A Survey of Educators in Fifty States. Faculty Scholarship, 506. https://digitalcommons.lindenwood.edu/faculty-research-papers/506
Zawacki- Richter, O., Marin, V, Bond M., & Gouverner, 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(39). https://doi.org/10.1186/s41239-019-0171-0
Zulkarnain, N. & Yunus M. (2023). Teachers’ Perceptions and Continuance Usage Intention of Artificial Intelligence Technology in Tesl. International Journal of Multidisciplinary Research and Analysis, 2101-2109. http://dx.doi.org/10.47191/ijmra/v6-i5-34
Ζωγόπουλος, Κ. & Γιώτη, Λ. (2022). Η επιμόρφωση και κατάρτιση των εκπαιδευτικών στο πεδίο της 4ης Βιομηχανικής Επανάστασης. Adult Education Critical Issues, 2(1), 45-69.