Proceedings of the International scientific and practical conference ―Synergy of Modern Science and Education‖ (June 12-14, 2026) / Publisher website: www.naukainfo.com. – New York, USA, 2026. - 145 p.
87 REFERENCES: 1. Broza, O., Chamo, N., Biberman-Shalev, L., & Bar-Tal, S. (2026). High and Low Heutagogy Orientations among Mathematics Pre-service Teachers and Their Relation to Academic AI-Usage. Frontiers in Education, 11, Article 1766401. DOI: https://doi.org/10.3389/feduc.2026.176640 1.https://doi.org/10.3389/feduc.2026.1766401 2. Blaschke, L. M., & Hase, S. Leveraging Heutagogy and Learner Agency to Navigate the Post-Truth Era // Frontiers in Education. 2026. DOI: 10.3389/feduc.2026.1818147. 3. Holmes, W., Bialik, M., & Fadel, C. (2024). Artificial Intelligence in Education: Promises and Implications for Teaching and Teacher Education. Computers and Education: Artificial Intelligence, 5, 100355. 4. Gonzalez, M., & Smith, J. (2026). Ethical and Equitable Heutagogy: Integrating AI to Support Learner Agency. Frontiers in Education, 11, Article 1780826. 5. Newfield, T. (2026). Ethical and Equitable Heutagogy: Integrating AI to Support Learner Agency. Frontiers in Education, 11, Article 1780826. DOI: https://doi.org/10.3389/feduc.2026.1780826. 6. Nga, S. H. S., & Lai, J. W. (2025). AI-augmented heutagogy: A framework for fostering self- determined learning and agency in higher education. Higher Education Research & Development, 45(4), 1063–1083. DOI: https://doi.org/10.1080/07294360.2025.2564977 .https://doi.org/10.1080/07294360.2025.2564977 7. Panta, R. (2025). Heutagogy: A Comprehensive Review of Self-Determined Learning in Contemporary Education. Cureus, 17(8), e89731. DOI: https://doi.org/10.7759/cureus.89731 .https://doi.org/10.7759/cureus.89731 8. Ramnarain, U., Ogegbo, A. A., Penn, M., Ojetunde, S. M., & Mdlalose, N. (2024). Pre-Service Science Teachers’ Intention to Use Generative Artificial Intelligence in Inquiry-Based Teaching. Journal of Science Education and Technology, 34(6), 1272–1285. DOI: https://doi.org/10.1007/s10956-024-10159-z .https://doi.org/10.1007/s10956-024-10159-z 9. Sharples M. Towards social generative AI for education: theories, practices and ethics // Learning: Research and Practice. 2023. Vol. 9(2). P. 159–167. 10. Verma, V. (2025). Heutagogical Learning in Professional Development: A Bibliometric Analysis of Published Literature between 2010 and 2024. Journal of Interdisciplinary Studies in Education, 14(3), 81–108. 11. Yeh, H.-C. (2025). The Synergy of Generative AI and Inquiry-Based Learning: Transforming the Landscape of English Teaching and Learning. Interactive Learning Environments, 33(1), 88–102. DOI: https://doi.org/10.1080/10494820.2024. 2.https://doi.org/10.1080/10494820.2024.2
Made with FlippingBook
RkJQdWJsaXNoZXIy MTAxMzIwNA==