Open Access Peer-reviewed Perspective

Artificial Intelligence and Virtual Reality in Learning Environments: Perspectives from Preschool to Higher Education

Main Article Content

Sofia Kouloumpritsidou corresponding author

Abstract

We live in an era of the most accelerated technological changes. Artificial intelligence possesses immense power and has the potential to dramatically influence education, being considered an inevitable transformation. Additionally, another technology, virtual reality (VR), although still in its early stages, when combined with artificial intelligence (AI), has the potential to radically transform entertainment, education, and healthcare. Thus, there is a call for new approaches to an educational system increasingly permeated by artificial intelligence systems---models, standards, and learning assessments. However, significant challenges arise, raising issues of ethics and academic integrity, such as the reliability of information, transparency regarding the sources used, privacy and data security, and plagiarism, as well as the investigation of how artificial intelligence affects teaching. Experts in educational technology predict that in the future, new versions of these technologies will replace textbooks and take the learning process outside the classroom. Overall, the United States alone has over 10 million virtual reality systems, with the actual number likely significantly higher. Moreover, artificial intelligence will not only enable new technologies but will also analyze their effectiveness and optimize the benefits they can offer. This paper on the impact of virtual reality and artificial intelligence on the educational process represents a step in our efforts to understand how these technologies can transform the educational system. The research found that the nature of the content presented in virtual reality can change users' perspectives and behaviors, as well as develop their knowledge empirically through personalized simulations. Instead of hours in front of screens, imagine learning in just a few minutes through VR. Therefore, it seems that with virtual reality, a little is enough.

Keywords
Artificial Intelligence, Virtual Reality, metaverse, primary school, AI Act

Article Details

How to Cite
Kouloumpritsidou, S. (2025). Artificial Intelligence and Virtual Reality in Learning Environments: Perspectives from Preschool to Higher Education. Advances in Mobile Learning Educational Research, 5(2), 1632-1652. https://doi.org/10.25082/AMLER.2025.02.018

References

  1. Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), ep429. https://doi.org/10.30935/cedtech/13152
  2. Ahmad, S. F., Alam, M. M., Rahmat, Mohd. 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
  3. Ahuja, A. S., Polascik, B. W., Doddapaneni, D., Byrnes, E. S., & Sridhar, J. (2023). The digital metaverse: Applications in artificial intelligence, medical education, and integrative health. Integrative Medicine Research, 12(1), 100917. https://doi.org/10.1016/j.imr.2022.100917
  4. Aksakal, N. (2015). Theoretical view to the approach of the edutainment. Procedia-Social and Behavioral Sciences, 186, 1232-1239. https://doi.org/10.1016/j.sbspro.2015.04.081
  5. Alexiou, T., Penteri, E., Serafim, M., Gioftsali, K., Ntousi, I., & Tsiadimos, N. (2022). Kiki goes camping! Educational scenarios EAN. Aristotle University of Thessaloniki. https://doi.org/10.26262/heal.auth.ir.341660
  6. Allaoua Chelloug, S., Ashfaq, H., A. Alsuhibany, S., Shorfuzzaman, M., Alsufyani, A., Jalal, A., & Park, J. (2023). Real Objects Understanding Using 3D Haptic Virtual Reality for E-Learning Education. Computers, Materials & Continua, 74(1), 1607–1624. https://doi.org/10.32604/cmc.2023.032245
  7. Alzahrani, A. (2022). A systematic review of artificial intelligence in education in the arab world. Revista Amazonia Investiga, 11(54), 293–305. CLOCKSS. https://doi.org/10.34069/ai/2022.54.06.28
  8. Annuš, N. (2024). Education in the Age of Artificial Intelligence. TEM Journal, 404–413. Portico. https://doi.org/10.18421/tem131-42
  9. Anyoha, R. (2017). The history of artificial intelligence. Science in the News. Harvard University. https://sites.harvard.edu
  10. Arslan, K. (2020). Artificial intelligence and applications in education. Western Anatolia Journal of Educational Sciences, 11(1), 71-80. https://dergipark.org.tr
  11. Atta, G., Abdelsattar, A., Elfiky, D., Zahran, M., Farag, M., & Slim, S. O. (2022). Virtual Reality in Space Technology Education. Education Sciences, 12(12), 890. https://doi.org/10.3390/educsci12120890
  12. Bailenson, J. (2018). Experience on demand: What virtual reality is, how it works, and what it can do. W. W. Norton & Company.
  13. Baniassad, E., Zamprogno, L., Hall, B., & Holmes, R. (2021). STOP THE (AUTOGRADER) INSANITY: Regression Penalties to Deter Autograder Overreliance. Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 1062–1068. https://doi.org/10.1145/3408877.3432430
  14. Baxter, G., & Hainey, T. (2023). Using immersive technologies to enhance the student learning experience. Interactive Technology and Smart Education, 21(3), 403–425. https://doi.org/10.1108/itse-05-2023-0078
  15. Binns, R. (2018, February). Fairness in machine learning: Lessons from political philosophy. In Conference on Fairness, Accountability, and Transparency. New York, NY, USA.
  16. BIZEL, G. (2023). A Bibliometric Analysis: Metaverse in Education Concept. Journal of Metaverse, 3(2), 133–143. https://doi.org/10.57019/jmv.1310768
  17. Bohil, C. J., Alicea, B., & Biocca, F. A. (2011). Virtual reality in neuroscience research and therapy. Nature Reviews Neuroscience, 12(12), 752–762. https://doi.org/10.1038/nrn3122
  18. Brandtzaeg, P. B., & Følstad, A. (2018). Chatbots. Interactions, 25(5), 38–43. https://doi.org/10.1145/3236669
  19. Benjamin, E. (2023). Why AI detectors think the US Constitution was written by AI. Ars Technica. https://arstechnica.com
  20. Borysenko, D. (2023, May). Artificial intelligence in vocational education: Pandora’s box or new opportunities. In Forum-Sois 2023: Collection of Materials of the 4th and 5th International Scientific and Practical WebForum. Kyiv, Kharkiv.
  21. Caucheteux, C., Hodgkins, L.-B., Batifol, V., Fouché, L., & Romero, M. (2024). Students’ Perspective on the Use of Artificial Intelligence in Education. Creative Applications of Artificial Intelligence in Education, 101–113. https://doi.org/10.1007/978-3-031-55272-4_8
  22. Causo, A., Vo, G. T., Chen, I.-M., & Yeo, S. H. (2015). Design of Robots Used as Education Companion and Tutor. Robotics and Mechatronics, 75–84. https://doi.org/10.1007/978-3-319-22368-1_8
  23. Chalkiadakis, A., Seremetaki, A., Kanellou, A., Kallishi, M., Morfopoulou, A., Moraitaki, M., & Mastrokoukou, S. (2024). Impact of Artificial Intelligence and Virtual Reality on Educational Inclusion: A Systematic Review of Technologies Supporting Students with Disabilities. Education Sciences, 14(11), 1223. https://doi.org/10.3390/educsci14111223
  24. Chatterjee, S., & Bhattacharjee, K. K. (2020). Adoption of artificial intelligence in higher education: a quantitative analysis using structural equation modelling. Education and Information Technologies, 25(5), 3443–3463. https://doi.org/10.1007/s10639-020-10159-7
  25. Chen, J. J., & Lin, J. C. (2023). Artificial intelligence as a double-edged sword: Wielding the POWER principles to maximize its positive effects and minimize its negative effects. Contemporary Issues in Early Childhood, 25(1), 146–153. https://doi.org/10.1177/14639491231169813
  26. Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/access.2020.2988510
  27. Chen, Y.-L., Hsu, C.-C., Lin, C.-Y., & Hsu, H.-H. (2022). Robot-Assisted Language Learning: Integrating Artificial Intelligence and Virtual Reality into English Tour Guide Practice. Education Sciences, 12(7), 437. https://doi.org/10.3390/educsci12070437
  28. China, D. (2022). Metaverse Report: Future Is Here; Global XR Industry Insight. Author, Beijing, China.
  29. Chiu, T. K. F., Ahmad, Z., Ismailov, M., & Sanusi, I. T. (2024). What are artificial intelligence literacy and competency? A comprehensive framework to support them. Computers and Education Open, 6, 100171. https://doi.org/10.1016/j.caeo.2024.100171
  30. Chytas, D., Johnson, E. O., Piagkou, M., Mazarakis, A., Babis, G. C., Chronopoulos, E., Nikolaou, V. S., Lazaridis, N., & Natsis, K. (2020). The role of augmented reality in Anatomical education: An overview. Annals of Anatomy - Anatomischer Anzeiger, 229, 151463. https://doi.org/10.1016/j.aanat.2020.151463
  31. Ciesla, R. (2024). The Book of Chatbots. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-51004-5
  32. Crawford, K. (2021). Atlas of AI. https://doi.org/10.12987/9780300252392
  33. Chaudron, S., Di Gioia, R., Gemo, M., Holloway, D., Marsh, J., Mascheroni, G., Peter, J., & Yamada-Rice, D. (2017). Kaleidoscope on the Internet of Toys: Safety, security, privacy and societal insights. Publications Office of the European Union.
  34. Deriba, F. G., & Sanusi, I. T. (2025). Artificial intelligence in Ethiopian school curriculum: Educators’ practices, challenges, and recommendations. Computers and Education Open, 8, 100251. https://doi.org/10.1016/j.caeo.2025.100251
  35. DiPaola, D., Ali, S., & Breazeal, C. (2021). What are GANs?: Introducing generative adversarial networks to middle school students. In Proceedings of the 11th Symposium on Education Advances in Artificial Intelligence (EAAI-21). London, UK.
  36. Druga, S., Vu, S. T., Likhith, E., & Qiu, T. (2019). Inclusive AI literacy for kids around the world. Proceedings of FabLearn 2019, 104–111. https://doi.org/10.1145/3311890.3311904
  37. Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., Dennehy, D., Metri, B., Buhalis, D., Cheung, C. M. K., Conboy, K., Doyle, R., Dubey, R., Dutot, V., Felix, R., Goyal, D. P., Gustafsson, A., Hinsch, C., Jebabli, I., … Wamba, S. F. (2022). Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 66, 102542. https://doi.org/10.1016/j.ijinfomgt.2022.102542
  38. Editors’ Association. (2025). Code of ethics for the use of productive artificial intelligence by journalists. https://www.esiea.gr
  39. Edwards, B. I., Bielawski, K. S., Prada, R., & Cheok, A. D. (2018). Haptic virtual reality and immersive learning for enhanced organic chemistry instruction. Virtual Reality, 23(4), 363–373. https://doi.org/10.1007/s10055-018-0345-4
  40. Elmasry, T., Khan, H., Yee, L., Hazan, E., & Kelly, G. (2022). Value creation in the metaverse. McKinsey & Company. https://www.mckinsey.com
  41. Elmi-Terander, A., Burström, G., Nachabe, R., Skulason, H., Pedersen, K., Fagerlund, M., Ståhl, F., Charalampidis, A., Söderman, M., Holmin, S., Babic, D., Jenniskens, I., Edström, E., & Gerdhem, P. (2019). Pedicle Screw Placement Using Augmented Reality Surgical Navigation With Intraoperative 3D Imaging. Spine, 44(7), 517–525. https://doi.org/10.1097/brs.0000000000002876
  42. Eriksson, E., & Torgersson, O. (2021). “The concept of learning goals will always be in my head” - Aligning and Applying Learning Goals in Participatory Design in a School Context. Interaction Design and Children, 153–159. https://doi.org/10.1145/3459990.3460705
  43. European Parliament. (2021). Report on artificial intelligence in education, culture and the audiovisual sector. https://www.europarl.europa.eu
  44. Fauzi, A. L., Kusumah, Y. S., Nurlaelah, E., & Juandi, D. (2023). Computational thinking education in K-12 artificial intelligence literacy and physical computing. Education 3-13, 53(4), 687–689. https://doi.org/10.1080/03004279.2023.2271019
  45. Ferikoğlu, D., & Akgün, E. (2022). An Investigation of Teachers’ Artificial Intelligence Awareness: A Scale Development Study. Malaysian Online Journal of Educational Technology, 10(3), 215–231. https://doi.org/10.52380/mojet.2022.10.3.407
  46. Floridi, L., & Cowls, J. (2019). A Unified Framework of Five Principles for AI in Society. Harvard Data Science Review. https://doi.org/10.1162/99608f92.8cd550d1
  47. Fowler, G. A. (2023). What to do when you’re accused of AI cheating.The Washington Post. https://www.washingtonpost.com
  48. Ge, Z., & Hu, Y. (2020). Innovative Application of Artificial Intelligence (AI) in the Management of Higher Education and Teaching. Journal of Physics: Conference Series, 1533(3), 032089. https://doi.org/10.1088/1742-6596/1533/3/032089
  49. Goel, A. (2016). Meet Jill Watson: Georgia Tech’s first AI teaching assistant. Georgia Tech Professional Education. https://pe.gatech.edu
  50. Goertzel, B. (2014). Artificial General Intelligence: Concept, State of the Art, and Future Prospects. Journal of Artificial General Intelligence, 5(1), 1–48. https://doi.org/10.2478/jagi-2014-0001
  51. Gómez-León, M. I. (2022). Development of empathy through Socioemotional Artificial Intelligence. Papeles Del Psicólogo - Psychologist Papers, 43(3), 218. https://doi.org/10.23923/pap.psicol.2996
  52. Grajewski, D., Górski, F., Hamrol, A., & Zawadzki, P. (2015). Immersive and Haptic Educational Simulations of Assembly Workplace Conditions. Procedia Computer Science, 75, 359–368. https://doi.org/10.1016/j.procs.2015.12.258
  53. Gstrein, O. J. (2022). European AI Regulation: Brussels Effect versus Human Dignity? Zeitschrift Für Europarechtliche Studien, 25(4), 755–772. https://doi.org/10.5771/1435-439x-2022-4-755
  54. Gstrein, O. J., Haleem, N., & Zwitter, A. (2024). General-purpose AI regulation and the European Union AI Act. Internet Policy Review, 13(3). https://doi.org/10.14763/2024.3.1790
  55. Güneyli, A., Burgul, N. S., Dericioğlu, S., Cenkova, N., Becan, S., Şimşek, Ş. E., & Güneralp, H. (2024). Exploring Teacher Awareness of Artificial Intelligence in Education: A Case Study from Northern Cyprus. European Journal of Investigation in Health, Psychology and Education, 14(8), 2358–2376. https://doi.org/10.3390/ejihpe14080156
  56. Handby, E. (2021). Classroom Games to Teach Contemporary Political Theory. Journal of Political Science Education, 17(sup1), 23–31. https://doi.org/10.1080/15512169.2021.1914640
  57. Harris, D. E. (2023). Voluntary curbs aren’t enough: AI risk requires a binding international treaty. Centre for International Governance Innovation. https://www.cigionline.org
  58. Helberger, N., & Diakopoulos, N. (2023). ChatGPT and the AI Act. Internet Policy Review, 12(1). https://doi.org/10.14763/2023.1.1682
  59. Ho, C. (2022). Research on Teaching of Metaverse Technology Flipped the MICE Education. 2022 3rd International Conference on Education, Knowledge and Information Management (ICEKIM), 592–596. https://doi.org/10.1109/icekim55072.2022.00136
  60. Ho, K.-H., Hou, Y., Chu, C. F. C., Chan, C.-K., Pan, H., & Chan, T.-T. (2023). Work in Progress: An AI-Assisted Metaverse for Computer Science Education. 2023 IEEE World Engineering Education Conference (EDUNINE), 1–4. https://doi.org/10.1109/edunine57531.2023.10102819
  61. Holmes, W. (2019). Artificial Intelligence in Education. Encyclopedia of Education and Information Technologies, 1–16. https://doi.org/10.1007/978-3-319-60013-0_107-1
  62. Hussain, S. (2023). Metaverse for education – Virtual or real? Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1177429
  63. Hirsh-Pasek, K., Zosh, J. M., Hadani, H. S., Golinkoff, R. M., Clark, K., Donohue, C., & Wartella, E. (2022). A whole new world: Education meets the metaverse. Brookings Institution. https://www.brookings.edu
  64. Impact Research. (2023). Teachers and students embrace ChatGPT for education. Walton Family Foundation. https://www.waltonfamilyfoundation.org
  65. Ishihara, H., Wu, B., & Asada, M. (2018). Identification and Evaluation of the Face System of a Child Android Robot Affetto for Surface Motion Design. Frontiers in Robotics and AI, 5. https://doi.org/10.3389/frobt.2018.00119
  66. Internet Matters Team. (2017). The secret life of six year olds. Internet Matters. https://www.internetmatters.org
  67. James, F., & Figaro-Henry, S. (2017). Building collective leadership capacity using collaborative twenty-first century digital tools. School Leadership & Management, 37(5), 520–536. https://doi.org/10.1080/13632434.2017.1367277
  68. Jetnikoff, A. (2015). Design based research methodology for teaching with technology in English. English in Australia, 50(3), 56–60.
  69. Kaliisa, R., Kluge, A., & Mørch, A. I. (2021). Overcoming Challenges to the Adoption of Learning Analytics at the Practitioner Level: A Critical Analysis of 18 Learning Analytics Frameworks. Scandinavian Journal of Educational Research, 66(3), 367–381. https://doi.org/10.1080/00313831.2020.1869082
  70. Kang, H. (2023). Artificial intelligence and its influence in adult learning in China. Higher Education, Skills and Work-Based Learning, 13(3), 450–464. https://doi.org/10.1108/heswbl-01-2023-0017
  71. Karan, B., & Angadi, G. R. (2023). Artificial Intelligence Integration into School Education: A Review of Indian and Foreign Perspectives. Millennial Asia, 16(1), 173–199. https://doi.org/10.1177/09763996231158229
  72. Kassa, E. A., & Mekonnen, E. A. (2022). Computational thinking in the Ethiopian secondary school ICT curriculum. Computer Science Education, 32(4), 502–531. https://doi.org/10.1080/08993408.2022.2095594
  73. Kewalramani, S., Kidman, G., & Palaiologou, I. (2021). Using Artificial Intelligence (AI)-interfaced robotic toys in early childhood settings: a case for children’s inquiry literacy. European Early Childhood Education Research Journal, 29(5), 652–668. https://doi.org/10.1080/1350293x.2021.1968458
  74. Kewalramani, S., Palaiologou, I., Dardanou, M., Allen, K.-A., & Phillipson, S. (2021). Using robotic toys in early childhood education to support children’s social and emotional competencies. Australasian Journal of Early Childhood, 46(4), 355–369. https://doi.org/10.1177/18369391211056668
  75. Kirchner, J. H., Ahmad, L., Aaronson, S., & Leike, J. (2023). New AI classifier for indicating AI-written text. OpenAI. https://openai.com
  76. Kokane, A., Singhal, H., Mukherjee, S., & Reddy, G. R. M. (2014). Effective E-learning using 3D Virtual Tutors and WebRTC Based Multimedia Chat. 2014 International Conference on Recent Trends in Information Technology, 1–6. https://doi.org/10.1109/icrtit.2014.6996209
  77. Kokash, H. A., Shah Alam, S., Ahmed, S., Khattak, A. N., & Tariq, B. (2024). Using Virtual Reality in Tourism Destination Decision: A Young Saudi Tourists’ Perspective with Habit is a Mediator. Journal of Quality Assurance in Hospitality & Tourism, 1–34. https://doi.org/10.1080/1528008x.2023.2299762
  78. Kölemen, E. B., & Yıldırım, B. (2025). A new era in early childhood education (ECE): Teachers’ opinions on the application of artificial intelligence. Education and Information Technologies, 30(12), 17405–17446. https://doi.org/10.1007/s10639-025-13478-9
  79. Kong, S.-C., Cheung, W. M.-Y., & Zhang, G. (2022). Evaluating artificial intelligence literacy courses for fostering conceptual learning, literacy and empowerment in university students: Refocusing to conceptual building. Computers in Human Behavior Reports, 7, 100223. https://doi.org/10.1016/j.chbr.2022.100223
  80. Kong, S.-C., Korte, S.-M., Burton, S., Keskitalo, P., Turunen, T., Smith, D., Wang, L., Lee, J. C.-K., & Beaton, M. C. (2024). Artificial Intelligence (AI) literacy – an argument for AI literacy in education. Innovations in Education and Teaching International, 62(2), 477–483. https://doi.org/10.1080/14703297.2024.2332744
  81. Kong, S.-C., Man-Yin Cheung, W., & Zhang, G. (2021). Evaluation of an artificial intelligence literacy course for university students with diverse study backgrounds. Computers and Education: Artificial Intelligence, 2, 100026. https://doi.org/10.1016/j.caeai.2021.100026
  82. Kordon, A. K. (2020). Applying Data Science. Springer International Publishing. https://doi.org/10.1007/978-3-030-36375-8
  83. Kotsilieris, T., & Dimopoulou, N. (2013). The evolution of e-learning in the context of 3D virtual worlds. Electronic Journal of e-Learning, 11(2), 147–167. https://files.eric.ed.gov
  84. Kozima, H., Michalowski, M. P., & Nakagawa, C. (2008). Keepon. International Journal of Social Robotics, 1(1), 3–18. https://doi.org/10.1007/s12369-008-0009-8
  85. Kulieshov, S. O. (2022). Features of the use of artificial intelligence in the US higher education system. In Modern computer and information systems and technologies: Materials of the 3rd All-Ukrainian scientific-practical internet conference (pp. 448–450). TDATU. http://elar.tsatu.edu.ua
  86. Kurian, N. (2023). AI’s empathy gap: The risks of conversational Artificial Intelligence for young children’s well-being and key ethical considerations for early childhood education and care. Contemporary Issues in Early Childhood, 26(1), 132–139. https://doi.org/10.1177/14639491231206004
  87. Kaliuzhna, O. (2023, May). Neural networks: Use of innovative programs that generate various content with the help of artificial intelligence in foreign literature lessons. In Forum-Sois 2023: Collection of Materials of the 4th and 5th International Scientific and Practical WebForum. Kyiv, Kharkiv.
  88. 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(1). https://doi.org/10.1186/s41239-023-00426-1
  89. Lao, N. (2020). Reorienting machine learning education towards tinkerers and ML-engaged citizens (Unpublished doctoral dissertation). Massachusetts Institute of Technology, USA.
  90. Laupichler, M. C., 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, 100101. https://doi.org/10.1016/j.caeai.2022.100101
  91. Lee, I., Zhang, H., Moore, K., Zhou, X., Perret, B., Cheng, Y., Zheng, R., & Pu, G. (2022). AI Book Club. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education, 202–208. https://doi.org/10.1145/3478431.3499318
  92. Li, P. H., & Chen, J. J. (2022). The Glocalization of Early Childhood Curriculum. https://doi.org/10.4324/9781003274865
  93. Li, X. (2007). Intelligent Agent–Supported Online Education. Decision Sciences Journal of Innovative Education, 5(2), 311–331. Portico. https://doi.org/10.1111/j.1540-4609.2007.00143.x
  94. Lin, P., Van Brummelen, J., Lukin, G., Williams, R., & Breazeal, C. (2020). Zhorai: Designing a Conversational Agent for Children to Explore Machine Learning Concepts. Proceedings of the AAAI Conference on Artificial Intelligence, 34(09), 13381–13388. https://doi.org/10.1609/aaai.v34i09.7061
  95. Long, D., & Magerko, B. (2020). What is AI Literacy? Competencies and Design Considerations. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–16. https://doi.org/10.1145/3313831.3376727
  96. López-Belmonte, J., Moreno-Guerrero, A.-J., López-Núñez, J.-A., & Hinojo-Lucena, F.-J. (2020). Augmented reality in education. A scientific mapping in Web of Science. Interactive Learning Environments, 31(4), 1860–1874. https://doi.org/10.1080/10494820.2020.1859546
  97. López-Belmonte, J., Pozo-Sánchez, S., Moreno-Guerrero, A.-J., & Marín-Marín, J.-A. (2023). We’ve reached the GOAL. Teaching Methodology for Transforming Learning in the METAVERSE. A teaching innovation project. Metaverse Basic and Applied Research, 2, 30. https://doi.org/10.56294/mr202330
  98. McFadden, A., & Thomas, K. (2016). Parent Perspectives on the Implementation of a Digital Documentation Portal in an Early Learning Centre. Australasian Journal of Early Childhood, 41(4), 86–94. https://doi.org/10.1177/183693911604100411
  99. McKnight, L. (2021). Electric Sheep? Humans, Robots, Artificial Intelligence, and the Future of Writing. Changing English, 28(4), 442–455. https://doi.org/10.1080/1358684x.2021.1941768
  100. McKnight, R. R., Pean, C. A., Buck, J. S., Hwang, J. S., Hsu, J. R., & Pierrie, S. N. (2020). Virtual Reality and Augmented Reality—Translating Surgical Training into Surgical Technique. Current Reviews in Musculoskeletal Medicine, 13(6), 663–674. https://doi.org/10.1007/s12178-020-09667-3
  101. McNicholas, T. (2023). New Jersey high school students accused of making AI-generated pornographic images of classmates. CBS News. https://www.cbsnews.com
  102. Madiega, T. (2024). Artificial intelligence act. European Parliament. https://www.europarl.europa.eu
  103. Mengesha, Z., Heldreth, C., Lahav, M., Sublewski, J., & Tuennerman, E. (2021). “I don’t Think These Devices are Very Culturally Sensitive.”—Impact of Automated Speech Recognition Errors on African Americans. Frontiers in Artificial Intelligence, 4. https://doi.org/10.3389/frai.2021.725911
  104. Mertala, P., Fagerlund, J., & Calderon, O. (2022). Finnish 5th and 6th grade students’ pre-instructional conceptions of Artificial Intelligence (AI) and their implications for AI literacy education. https://doi.org/10.35542/osf.io/38e4x
  105. Milmo, D., & Stacey, K. (2023, November 2). Five takeaways from UK’s AI safety summit at Bletchley Park. The Guardian. https://www.theguardian.com
  106. Mintz, R., Litvak, S., & Yair, Y. (2001). 3D-virtual reality in science education: An implication for astronomy teaching. Journal of Computers in Mathematics and Science Teaching, 20(3), 293–305.
  107. Morgan, A.-M. (2013). ‘Proof of concept’: Beginning to use Design-Based Research to improve science literacies for middle years learners. The Australian Journal of Language and Literacy, 36(1), 3–16. https://doi.org/10.1007/bf03652085
  108. Morimoto, T., Kobayashi, T., Hirata, H., Otani, K., Sugimoto, M., Tsukamoto, M., Yoshihara, T., Ueno, M., & Mawatari, M. (2022). XR (Extended Reality: Virtual Reality, Augmented Reality, Mixed Reality) Technology in Spine Medicine: Status Quo and Quo Vadis. Journal of Clinical Medicine, 11(2), 470. https://doi.org/10.3390/jcm11020470
  109. Müller, V. C. (2020). Ethics of artificial intelligence and robotics. In E. N. Zalta (Ed.), The Stanford encyclopedia of philosophy (Fall 2020 ed.). Stanford University. https://plato.stanford.edu
  110. Miao, F., & Holmes, W. (2021). Artificial intelligence and education. Guidance for policy-makers. https://doi.org/10.54675/pcsp7350
  111. Neff, G., & Nagy, P. (2016). Talking to bots: Symbiotic agency and the case of Tay. International Journal of Communication, 10, 4915–4931. https://ijoc.org
  112. Ng, D. T. K., Leung, J. K. L., Su, M. J., Yim, I. H. Y., Qiao, M. S., & Chu, S. K. W. (2022). AI Literacy in K-16 Classrooms. Springer International Publishing. https://doi.org/10.1007/978-3-031-18880-0
  113. Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B.-P. T. (2022). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28(4), 4221–4241. https://doi.org/10.1007/s10639-022-11316-w
  114. Oppenlaender, J., Kuosmanen, E., Lucero, A., & Hosio, S. (2021). Hardhats and Bungaloos: Comparing Crowdsourced Design Feedback with Peer Design Feedback in the Classroom. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 1–14. https://doi.org/10.1145/3411764.3445380
  115. Paek, S., & Kim, N. (2021). Analysis of Worldwide Research Trends on the Impact of Artificial Intelligence in Education. Sustainability, 13(14), 7941. https://doi.org/10.3390/su13147941
  116. Pandey, A. K., Ali, M., & Alami, R. (2013). Towards a Task-Aware Proactive Sociable Robot Based on Multi-state Perspective-Taking. International Journal of Social Robotics, 5(2), 215–236. https://doi.org/10.1007/s12369-013-0181-3
  117. Papadakis, S. (2020). Apps to Promote Computational Thinking Concepts and Coding Skills in Children of Preschool and Pre-Primary School Age. Mobile Learning Applications in Early Childhood Education, 101–121. https://doi.org/10.4018/978-1-7998-1486-3.ch006
  118. Papadakis, S. (2022). Apps to Promote Computational Thinking and Coding Skills to Young Age Children: A Pedagogical Challenge for the 21st Century Learners. Educational Process International Journal, 11(1). https://doi.org/10.22521/edupij.2022.111.1
  119. Papadakis, S., Kiv, A. E., Kravtsov, H. M., Osadchyi, V. V., Marienko, M. V., Pinchuk, O. P., Shyshkina, M. P., Sokolyuk, O. M., Mintii, I. S., Vakaliuk, T. A., Azarova, L. E., Kolgatina, L. S., Amelina, S. M., Volkova, N. P., Velychko, V. Ye., Striuk, A. M., & Semerikov, S. O. (2023). ACNS Conference on Cloud and Immersive Technologies in Education: Report. CTE Workshop Proceedings, 10, 1–44. https://doi.org/10.55056/cte.544
  120. Papadakis, S., Kiv, A. E., Kravtsov, H. M., Osadchyi, V. V., Marienko, M. V., Pinchuk, O. P., ... & Striuk, A. M. (2023b). Unlocking the power of synergy: the joint force of cloud technologies and augmented reality in education. In Joint Proceedings of the 10th Workshop on Cloud Technologies in Education (CTE 2021) and 5th International Workshop on Augmented Reality in Education (AREdu 2022), Kryvyi Rih, Ukraine, May 23, 2022. CEUR Workshop Proceedings.
  121. Papadakis, S., Zourmpakis, A.-I., Kasotaki, S., & Kalogiannakis, M. (2024). Teachers’ perspectives on integrating adaptive gamification applications into science teaching. Journal of Electrical Systems, 20(11s), 2593–2600.
  122. Parnell, W. A., & Bartlett, J. (2012). iDocument: How smartphones and tablets are changing documentation in preschool and primary classrooms. Young Children, 67(3), 50–57.
  123. Peña Arcila, J. B. (2020). Master of Ibero American virtual environment education. Metaverse, 1(1), 11. https://doi.org/10.54517/met.v1i1.1779
  124. Pratama, M. P., Sampelolo, R., & Lura, H. (2023). Revolutionizing education: harnessing the power of artificial intelligence for personalized learning. Klasikal: Journal of education, language teaching and science, 5(2), 350-357. https://doi.org/10.52208/klasikal.v5i2.877
  125. Prentzas, J. (2013). Artificial Intelligence Methods in Early Childhood Education. Artificial Intelligence, Evolutionary Computing and Metaheuristics, 169–199. https://doi.org/10.1007/978-3-642-29694-9_8
  126. Raza, A., Rehman, A., Sehar, R., Alamri, F. S., Alotaibi, S., Al Ghofaily, B., & Saba, T. (2024). Optimized virtual reality design through user immersion level detection with novel feature fusion and explainable artificial intelligence. PeerJ Computer Science, 10, e2150. Portico. https://doi.org/10.7717/peerj-cs.2150
  127. Ryzheva, N., Nefodov, D., Romanyuk, S., Marynchenko, H., & Kudla, M. (2024). Artificial Intelligence in higher education: opportunities and challenges. Revista Amazonia Investiga, 13(73), 284–296. CLOCKSS. https://doi.org/10.34069/ai/2024.73.01.24
  128. Safari Bazargani, J., Sadeghi-Niaraki, A., & Choi, S.-M. (2025). A Survey and Framework for Education in the Metaverse. IEEE Access, 13, 33231–33245. https://doi.org/10.1109/access.2025.3543496
  129. Şahín Kölemen, C. (2024). Artificial intelligence technologies and ethics in educational processes: solution suggestions and results. Innoeduca. International Journal of Technology and Educational Innovation, 10(2), 201–216. https://doi.org/10.24310/ijtei.102.2024.19806
  130. Salamanca, L. P., Carini, A. R., Lee, M. A., Dykstra, K., Whitehill, J., Angus, D., Wiles, J., Reilly, J. S., & Bartlett, M. S. (2012). Characterizing the temporal dynamics of student-teacher discourse. 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL), 1–2. https://doi.org/10.1109/devlrn.2012.6400840
  131. Samuel, G., Chubb, J., & Derrick, G. (2021). Boundaries Between Research Ethics and Ethical Research Use in Artificial Intelligence Health Research. Journal of Empirical Research on Human Research Ethics, 16(3), 325–337. https://doi.org/10.1177/15562646211002744
  132. Santos, R., Margarido, C., Pocinho, R., Silva, T., & Póvoa, V. (2020). Evaluation of an educational project for the development of the autonomy of life in young people leaving residential care. Eighth International Conference on Technological Ecosystems for Enhancing Multiculturality, 821–826. https://doi.org/10.1145/3434780.3436591
  133. Schlemmer, E., & Backes, L. (2015). Learning in Metaverses. Advances in Educational Technologies and Instructional Design. https://doi.org/10.4018/978-1-4666-6351-0
  134. Schönborn, K. J., Bivall, P., & Tibell, L. A. E. (2011). Exploring relationships between students’ interaction and learning with a haptic virtual biomolecular model. Computers & Education, 57(3), 2095–2105. https://doi.org/10.1016/j.compedu.2011.05.013
  135. Serholt, S., Pareto, L., Ekström, S., & Ljungblad, S. (2020). Trouble and Repair in Child–Robot Interaction: A Study of Complex Interactions With a Robot Tutee in a Primary School Classroom. Frontiers in Robotics and AI, 7. https://doi.org/10.3389/frobt.2020.00046
  136. Shamir, G., & Levin, I. (2022). Teaching machine learning in elementary school. International Journal of Child-Computer Interaction, 31, 100415. https://doi.org/10.1016/j.ijcci.2021.100415
  137. Singh, D. D., Das, S., & Chakraborty, A. (2023). FairAssign: Stochastically Fair Driver Assignment in Gig Delivery Platforms. 2023 ACM Conference on Fairness Accountability and Transparency, 753–763. https://doi.org/10.1145/3593013.3594040
  138. Stephenson, N. (2022). Snow crash. Viking.
  139. Storey, V. A., & Beeman, T. E. (2023, October). The impact of human and machine adjuncts on reshaping higher education institutions in the education 4.0 era. In Proceedings of the Northeast Business and Economics Association (NBEA) Annual Conference. Philadelphia, PA, USA.
  140. Storey, V. A., & Wagner, A. (2024). Integrating Artificial Intelligence (AI) Into Adult Education. International Journal of Adult Education and Technology, 15(1), 1–15. https://doi.org/10.4018/ijaet.345921
  141. Straker, L., Zabatiero, J., Danby, S., Thorpe, K., & Edwards, S. (2018). Conflicting Guidelines on Young Children’s Screen Time and Use of Digital Technology Create Policy and Practice Dilemmas. The Journal of Pediatrics, 202, 300–303. https://doi.org/10.1016/j.jpeds.2018.07.019
  142. Stratan-Artyshkova, T., Kozak, K., Syrotina, O., Lisnevska, N., Sichkar, S., Pertsov, O., & Kuchai, O. (2022). Formation of new approaches to the use of information technology and search for innovative methods of training specialists within the Pan-European educational space. International Journal of Computer Science and Network Security, 22(8), 97–104. https://doi.org/10.22937/IJCSNS.2022.22.8.13
  143. Su, J., & Yang, W. (2022). Artificial intelligence in early childhood education: A scoping review. Computers and Education: Artificial Intelligence, 3, 100049. https://doi.org/10.1016/j.caeai.2022.100049
  144. Su, J., & Yang, W. (2023). Artificial Intelligence (AI) literacy in early childhood education: an intervention study in Hong Kong. Interactive Learning Environments, 32(9), 5494–5508. https://doi.org/10.1080/10494820.2023.2217864
  145. Su, J., & Yang, W. (2023). AI literacy curriculum and its relation to children’s perceptions of robots and attitudes towards engineering and science: An intervention study in early childhood education. Journal of Computer Assisted Learning, 40(1), 241–253. Portico. https://doi.org/10.1111/jcal.12867
  146. Su, J., & Zhong, Y. (2022). Artificial Intelligence (AI) in early childhood education: Curriculum design and future directions. Computers and Education: Artificial Intelligence, 3, 100072. https://doi.org/10.1016/j.caeai.2022.100072
  147. Su, J., Guo, K., Chen, X., & Chu, S. K. W. (2023). Teaching artificial intelligence in K–12 classrooms: a scoping review. Interactive Learning Environments, 32(9), 5207–5226. https://doi.org/10.1080/10494820.2023.2212706
  148. Su, J., Ng, D. T. K., & Chu, S. K. W. (2023). Artificial Intelligence (AI) Literacy in Early Childhood Education: The Challenges and Opportunities. Computers and Education: Artificial Intelligence, 4, 100124. https://doi.org/10.1016/j.caeai.2023.100124
  149. Su, J., Zhong, Y., & Ng, D. T. K. (2022). A meta-review of literature on educational approaches for teaching AI at the K-12 levels in the Asia-Pacific region. Computers and Education: Artificial Intelligence, 3, 100065. https://doi.org/10.1016/j.caeai.2022.100065
  150. Talton, J. O., Dusad, K., Koiliaris, K., & Kumar, R. S. (2019). How do People Sort by Ratings? Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 1–10. https://doi.org/10.1145/3290605.3300535
  151. Tanaka, F., Cicourel, A., & Movellan, J. R. (2007). Socialization between toddlers and robots at an early childhood education center. Proceedings of the National Academy of Sciences, 104(46), 17954–17958. https://doi.org/10.1073/pnas.0707769104
  152. Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1). https://doi.org/10.1186/s40561-023-00237-x
  153. Touretzky, D., Gardner-McCune, C., Martin, F., & Seehorn, D. (2019). Envisioning AI for K-12: What Should Every Child Know about AI? Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 9795–9799. https://doi.org/10.1609/aaai.v33i01.33019795
  154. Vartiainen, H., Tedre, M., & Valtonen, T. (2020). Learning machine learning with very young children: Who is teaching whom? International Journal of Child-Computer Interaction, 25, 100182. https://doi.org/10.1016/j.ijcci.2020.100182
  155. Veale, M., & Zuiderveen Borgesius, F. (2021). Demystifying the Draft EU Artificial Intelligence Act — Analysing the good, the bad, and the unclear elements of the proposed approach. Computer Law Review International, 22(4), 97–112. https://doi.org/10.9785/cri-2021-220402
  156. Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., Felländer, A., Langhans, S. D., Tegmark, M., & Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature Communications, 11(1). https://doi.org/10.1038/s41467-019-14108-y
  157. Virani, S., & Rautela, S. (2024). Metaverse and education: identifying key themes and future research trajectories. The International Journal of Information and Learning Technology, 42(1), 84–106. https://doi.org/10.1108/ijilt-05-2024-0083
  158. Vircikova, M., Magyar, G., & Sincak, P. (2015). The Affective Loop: A Tool for Autonomous and Adaptive Emotional Human-Robot Interaction. Robot Intelligence Technology and Applications 3, 247–254. https://doi.org/10.1007/978-3-319-16841-8_23
  159. Virtue, P. (2021). GANs Unplugged. Proceedings of the AAAI Conference on Artificial Intelligence, 35(17), 15664–15668. https://doi.org/10.1609/aaai.v35i17.17845
  160. von Garrel, J., & Mayer, J. (2023). Artificial Intelligence in studies—use of ChatGPT and AI-based tools among students in Germany. Humanities and Social Sciences Communications, 10(1). https://doi.org/10.1057/s41599-023-02304-7
  161. Webb, M., Tracey, M., Harwin, W., Tokatli, O., Hwang, F., Johnson, R., Barrett, N., & Jones, C. (2021). Haptic-enabled collaborative learning in virtual reality for schools. Education and Information Technologies, 27(1), 937–960. https://doi.org/10.1007/s10639-021-10639-4
  162. Welsh, W. F., & Windmiller, G. (2020, January). Teaching moon phases and eclipses in virtual reality. In 235th Meeting of the American Astronomical Society. Honolulu, HI, USA.
  163. Whittlestone, J., Nyrup, R., Alexandrova, A., & Cave, S. (2019). The Role and Limits of Principles in AI Ethics. Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 195–200. https://doi.org/10.1145/3306618.3314289
  164. White, G. (2018, December 3). Child advice chatbots fail to spot sexual abuse. BBC News. https://www.bbc.co.uk
  165. Williams, R. (2018). PopBots: Leveraging social robots to aid preschool children’s artificial intelligence education (Unpublished master’s thesis). Massachusetts Institute of Technology.
  166. Williams, R., Ali, S., Devasia, N., DiPaola, D., Hong, J., Kaputsos, S. P., Jordan, B., & Breazeal, C. (2022). AI+Ethics Curricula for Middle School Youth: Lessons Learned from Three Project-Based Curricula. International Journal of Artificial Intelligence in Education, 33(2), 325–383. https://doi.org/10.1007/s40593-022-00298-y
  167. Williams, R., Park, H. W., Oh, L., & Breazeal, C. (2019). PopBots: Designing an Artificial Intelligence Curriculum for Early Childhood Education. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 9729–9736. https://doi.org/10.1609/aaai.v33i01.33019729
  168. Wilson, M., Howell, C., Martin-Morales, K., & Park, S. (2023). Concept Mapping and Reading Comprehension. Journal of Political Science Education, 19(3), 408–431. https://doi.org/10.1080/15512169.2023.2164861
  169. Wojciechowski, A., & Korjonen-Kuusipuro, K. (2023). How artificial intelligence affects education? Human Technology, 19(3), 302–306. https://doi.org/10.14254/1795-6889.2023.19-3.0
  170. Wong, G. K. W., Ma, X., Dillenbourg, P., & Huan, J. (2020). Broadening artificial intelligence education in K-12. ACM Inroads, 11(1), 20–29. https://doi.org/10.1145/3381884
  171. Wood, L. J., Dautenhahn, K., Rainer, A., Robins, B., Lehmann, H., & Syrdal, D. S. (2013). Robot-Mediated Interviews - How Effective Is a Humanoid Robot as a Tool for Interviewing Young Children? PLoS ONE, 8(3), e59448. https://doi.org/10.1371/journal.pone.0059448
  172. Wu, N., & Wu, P. Y. (2024). Surveying the Impact of Generative Artificial Intelligence on Political Science Education. PS: Political Science & Politics, 57(4), 602–609. https://doi.org/10.1017/s1049096524000167
  173. Wu, S., & Han, S. (2023). System Evaluation of Artificial Intelligence and Virtual Reality Technology in the Interactive Design of Interior Decoration. Applied Sciences, 13(10), 6272. https://doi.org/10.3390/app13106272
  174. Xiaohong Yuan, Williams, K., McCrickard, S., Hardnett, C., Lineberry, L. H., Bryant, K., Jinsheng Xu, Esterline, A., Anyi Liu, Mohanarajah, S., & Rutledge, R. (2016). Teaching mobile computing and mobile security. 2016 IEEE Frontiers in Education Conference (FIE), 1–6. https://doi.org/10.1109/fie.2016.7757365
  175. Yang, W. (2022). Artificial Intelligence education for young children: Why, what, and how in curriculum design and implementation. Computers and Education: Artificial Intelligence, 3, 100061. https://doi.org/10.1016/j.caeai.2022.100061
  176. Yang, W., Hu, X., Yeter, I. H., Su, J., Yang, Y., & Lee, J. C. (2023). Artificial intelligence education for young children: A case study of technology‐enhanced embodied learning. Journal of Computer Assisted Learning, 40(2), 465–477. Portico. https://doi.org/10.1111/jcal.12892
  177. Yelland, N. J. (2018). A pedagogy of multiliteracies: Young children and multimodal learning with tablets. British Journal of Educational Technology, 49(5), 847–858. Portico. https://doi.org/10.1111/bjet.12635
  178. Yin, R. K. (2014). Case study research: Design and methods (5th ed.). Sage.
  179. Yu, L., & Yu, Z. (2023). Qualitative and quantitative analyses of artificial intelligence ethics in education using
  180. Yu, Z., Xu, W., & Yu, L. (2022). Constructing an Online Sustainable Educational Model in COVID-19 Pandemic Environments. Sustainability, 14(6), 3598. https://doi.org/10.3390/su14063598
  181. 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
  182. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, 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(1). https://doi.org/10.1186/s41239-019-0171-0
  183. Zingoni, A., Taborri, J., Panetti, V., Bonechi, S., Aparicio-Martínez, P., Pinzi, S., & Calabrò, G. (2021). Investigating Issues and Needs of Dyslexic Students at University: Proof of Concept of an Artificial Intelligence and Virtual Reality-Based Supporting Platform and Preliminary Results. Applied Sciences, 11(10), 4624. https://doi.org/10.3390/app11104624
  184. Zourmpakis, A.-I., Kalogiannakis, M., & Papadakis, S. (2023). A Review of the Literature for Designing and Developing a Framework for Adaptive Gamification in Physics Education. The International Handbook of Physics Education Research: Teaching Physics, 5-1-5–26. https://doi.org/10.1063/9780735425712_005
  185. Zourmpakis, A.-I., Kalogiannakis, M., & Papadakis, S. (2023). Adaptive Gamification in Science Education: An Analysis of the Impact of Implementation and Adapted Game Elements on Students’ Motivation. Computers, 12(7), 143. https://doi.org/10.3390/computers12070143
  186. Zourmpakis, A.-I., Kalogiannakis, M., & Papadakis, S. (2024). The Effects of Adaptive Gamification in Science Learning: A Comparison Between Traditional Inquiry-Based Learning and Gender Differences. Computers, 13(12), 324. https://doi.org/10.3390/computers13120324