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Exploring the Use of Generative AI in Education: Broadening the Scope

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Learning and Collaboration Technologies (HCII 2024)

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Abstract

Artificial Intelligence (AI) already plays a significant role in education and society altogether. With the rapid and largely impactful development in the field of generative AI, we must consider the potential changes and shifts of the new normal. Generative models like ChatGPT, Google Bard, Bing Chat, DALL-E, and many others, are proving to be powerful allies and assistants in practically every branch and aspect of life. Given their proficiency in language and their technical capabilities, we must acknowledge their significance and ensure they are not overlooked. In this work, we focus on their impact on education and what is the feedback from the educational community. We want to determine exactly how generative AI is used and how it can be used in education. Our goal is to review more, and new papers, to classify the papers based on the subject the paper has covered, the type of the study, the educational level it concerns, and how is generative AI generally perceived. After the analysis, we conclude that it is perceived as generally positive, with most papers focusing on higher education, and STEM subjects while mostly using qualitative research methods.

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References

  1. Ofosu-Ampong, K., Acheampong, B., Kevor, M.O.: Acceptance of artificial intelligence (ChatGPT) in education: trust, innovativeness and psychological need of students. Inf. Knowl. Manag. 13, 37–47 (2023)

    Google Scholar 

  2. Rudolph, J., Tan, S., Tan, S.: War of the chatbots: bard, bing chat, ChatGPT, ernie and beyond: the new AI gold rush and its impact on higher education. J. Appl. Learn. Teach. 6(1), 1–26 (2023)

    Google Scholar 

  3. Adams, C., Pente, P., Lemermeyer, G., Rockwell, G.: Ethical principles for artificial intelligence in k-12 education. Comput. Educ. Artif. Intell. 4, 100131 (2023)

    Article  Google Scholar 

  4. Akiba, D., Fraboni, M.C.: AI-supported academic advising: exploring ChatGPT’s current state and future potential toward student empowerment. Educ. Sci. 13(9), 885 (2023)

    Article  Google Scholar 

  5. Aktay, S.: The usability of images generated by artificial intelligence (AI) in education. Int. Technol. Educ. J. 6(2), 51–62 (2022)

    Google Scholar 

  6. Ashraf Alam. Possibilities and apprehensions in the landscape of artificial intelligence in education. In 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA). IEEE, nov 2021

    Google Scholar 

  7. Ali, S.M., Hasan, Z.J., Hamdan, A., Al-Mekhlaf, M.: Artificial intelligence (AI) in the education of accounting and auditing profession. In: Alareeni, B., Hamdan, A., Khamis, R., Khoury, R.E. (eds.) ICBT 2022, vol. 621, pp. 656–664. Springer, Heidelberg (2023). https://doi.org/10.1007/978-3-031-26956-1_61

    Chapter  Google Scholar 

  8. Alkhaqani, A.L.: ChatGPT: how can it impact nursing and health science education? Al-Rafidain J. Med. Sci. 5, 112–113 (2023). (ISSN 2789-3219)

    Article  Google Scholar 

  9. Aluga, M.: Application of CHATGPT in civil engineering. East Afr. J. Eng. 6(1), 104–112 (2023)

    Article  Google Scholar 

  10. Amri, M.M., Hisan, U.K.: Incorporating AI tools into medical education: harnessing the benefits of ChatGPT and dall-e. J. Novel Eng. Sci. Technol. 2(02), 34–39 (2023)

    Article  Google Scholar 

  11. Aristega, A.M.M., Aristega, J.E.M., Angulo, R.J.C., Rojas, M.T.C.: Artificial intelligence and its implications in basic education. Centro Sur. 7(3), 24–43 (2023)

    Article  Google Scholar 

  12. Athanassopoulos, S., Manoli, P., Gouvi, M., Lavidas, K., Komis, V.: The use of ChatGPT as a learning tool to improve foreign language writing in a multilingual and multicultural classroom. Adv. Mobile Learn. Educ. Res. 3(2), 818–824 (2023)

    Article  Google Scholar 

  13. Aydin, Ö.: Google bard generated literature review: metaverse. J. AI 7(1), 1–14 (2023)

    Article  Google Scholar 

  14. Bahroun, Z., Anane, C., Ahmed, V., Zacca, A.: Transforming education: a comprehensive review of generative artificial intelligence in educational settings through bibliometric and content analysis. Sustainability 15(17), 12983 (2023)

    Article  Google Scholar 

  15. Baker, B., Mills, K.A., McDonald, P., Wang, L.: AI, concepts of intelligence, and chatbots: the “figure of man," the rise of emotion, and future visions of education. Teach. Coll. Rec. Voice Scholarship Educ. 125(6), 60–84 (2023)

    Article  Google Scholar 

  16. Blythe, M.C.: An analysis of the suitability of philosophy as a core k-12 public school subject (2023)

    Google Scholar 

  17. Brusilovsky, P.: AI in education, learner control, and human-AI collaboration. Int. J. Artif. Intell. Educ. 34, 122–135 (2023)

    Article  Google Scholar 

  18. Tabrizi, T.B., Gocer, O., Sadrieh, A., Globa, A.: Leveraging AI to instruct architecture students on circular design techniques and life cycle assessment. In: 9th International Conference on Higher Education Advances (HEAd 2023). Universitat Politècnica de València (2023)

    Google Scholar 

  19. Bültemann, M., Rzepka, N., Junger, D., Simbeck, K., Müller, H.G.: Energy consumption of AI in education: a case study (2023)

    Google Scholar 

  20. Chan, C.K.Y., Hu, W.: Students’ voices on generative AI: perceptions, benefits, and challenges in higher education. Int. J. Educ. Technol. High. Educ. 20(1), 43 (2023)

    Article  Google Scholar 

  21. Chen, L., Chen, P., Lin, Z.: Artificial intelligence in education: a review. IEEE Access 8, 75264–75278 (2020)

    Article  Google Scholar 

  22. Choudhary, N., Bharti, R., Sharma, R.: Role of artificial intelligence in chemistry. Mater. Today: Proc. 48, 1527–1533 (2022)

    Google Scholar 

  23. Cooper, G.: Examining science education in ChatGPT: an exploratory study of generative artificial intelligence. J. Sci. Educ. Technol. 32(3), 444–452 (2023)

    Article  Google Scholar 

  24. Crompton, H., Burke, D.: Artificial intelligence in higher education: the state of the field. Int. J. Educ. Technol. High. Educ. 20(1), 22 (2023)

    Article  Google Scholar 

  25. Darvishinia, N.: Ai in education: cracking the code through challenges: a content analysis of one of the recent issues of educational technology and society (et &s) journal. Partners Univ. Int. Innov. J. 1(4), 61–71 (2023)

    Google Scholar 

  26. Dehouche, N., Dehouche, K.: What’s in a text-to-image prompt? the potential of stable diffusion in visual arts education. Heliyon 9(6), e16757 (2023)

    Article  Google Scholar 

  27. Dhanvijay, A.K.D., et al.: Performance of large language models (ChatGPT, bing search, and google bard) in solving case vignettes in physiology. Cureus (2023)

    Google Scholar 

  28. Dickey, E., Bejarano, A.: A model for integrating generative ai into course content development. arXiv preprint arXiv:2308.12276 (2023)

  29. Dogan, M.E., Goru Dogan, T., Bozkurt, A.: The use of artificial intelligence (AI) in online learning and distance education processes: a systematic review of empirical studies. Appl. Sci. 13(5), 3056 (2023)

    Article  Google Scholar 

  30. dos Santos, R.P.: Enhancing physics learning with ChatGPT, bing chat, and bard as agents-to-think-with: a comparative case study. SSRN Electron. J. (2023)

    Google Scholar 

  31. Dydak, J.: Artificial intelligence and teaching of linear algebra (2023)

    Google Scholar 

  32. Eggmann, F., Weiger, R., Zitzmann, N.U., Blatz, M.B.: Implications of large language models such as scpChatGPT/scp for dental medicine. J. Esthetic Restorat. Dentistry (2023)

    Google Scholar 

  33. Flogie, A., Krabonja, M.V.: Artificial intelligence in education: developing competencies and supporting teachers in implementing AI in school learning environments. In: 2023 12th Mediterranean Conference on Embedded Computing (MECO). IEEE (2023)

    Google Scholar 

  34. Foltynek, T., et al.: ENAI recommendations on the ethical use of artificial intelligence in education. Int. J. Educ. Integrity 19(1), 1–4 (2023)

    Article  Google Scholar 

  35. Freeman-Wong, J., Munguia, D., Mohr, J.J.: Building a strategy to harness chatgpt in education (2023)

    Google Scholar 

  36. Gao, R., Merzdorf, H.E., Anwar, S., Hipwell, M.C., Srinivasa, A.: Automatic assessment of text-based responses in post-secondary education: a systematic review. arXiv preprint arXiv:2308.16151 (2023)

  37. Gartner, S., Krašna, M.: Artificial intelligence in education - ethical framework. In: 2023 12th Mediterranean Conference on Embedded Computing (MECO). IEEE (2023)

    Google Scholar 

  38. Gašević, D., Siemens, G., Sadiq, S.: Empowering learners for the age of artificial intelligence. Comput. Educ. Artif. Intell. 4, 100130 (2023)

    Article  Google Scholar 

  39. Ghamrawi, N., Shal, T., Ghamrawi, N.A.R.: Exploring the impact of AI on teacher leadership: regressing or expanding? Educ. Inf. Technol. (2023)

    Google Scholar 

  40. Gupta, N., Gupta, P., Nadeem, D., Abuzar, A., Elahi, A.: Artificial intelligence in agriculture. SSRN Electron. J. (2023)

    Google Scholar 

  41. Hodges, C., Ocak, C.: Integrating generative AI into higher education: considerations (2023)

    Google Scholar 

  42. Holmes, W.: AIED—coming of age? Int. J. Artif. Intell. Educ. 34(1), 1–11 (2024)

    Article  Google Scholar 

  43. Huallpa, J.J., et al.: Exploring the ethical considerations of using chat GPT in university education. Period. Eng. Nat. Sci. 11(4), 105–115 (2023)

    Google Scholar 

  44. Humphry, T., Fuller, A.L.: Potential ChatGPT use in undergraduate chemistry laboratories. J. Chem. Educ. 100(4), 1434–1436 (2023)

    Article  Google Scholar 

  45. Hwang, G.-J., Xie, H., Wah, B.W., Gašević, D.: Vision, challenges, roles and research issues of artificial intelligence in education. Comput. Educ. Artif. Intell. 1, 100001 (2020)

    Article  Google Scholar 

  46. Idroes, G.M., et al.: Student perspectives on the role of artificial intelligence in education: a survey-based analysis. J. Educ. Manag. Learn. 1(1), 8–15 (2023)

    Article  Google Scholar 

  47. Inojosa, H., Gilbert, S., Kather, J.N., Proschmann, U., Akgün, K., Ziemssen, T.: Can ChatGPT explain it? use of artificial intelligence in multiple sclerosis communication. Neurol. Res. Pract. 5(1), 48 (2023)

    Article  Google Scholar 

  48. Jahic, I., Ebner, M., Schön, S.: Harnessing the power of artificial intelligence and chatgpt in education-a first rapid literature review. Proc. EdMedia+ Innov. Learn. 1462–1470, 2023 (2023)

    Google Scholar 

  49. Johnson, W.L.: How to harness generative AI to accelerate human learning. Int. J. Artif. Intell. Educ. (2023)

    Google Scholar 

  50. Kaplan-Rakowski, R., Grotewold, K., Hartwick, P., Papin, K.: Generative AI and teachers’ perspectives on its implementation in education. J. Interact. Learn. Res. 34(2), 313–338 (2023)

    Google Scholar 

  51. Kassymova, G.K., Malinichev, D.M., Lavrinenko, S.V., Panichkina, M.V., Koptyaeva, S.V., Arpentieva, M.R.: Ethical problems of digitalization and artificial intelligence in education: a global perspective. J. Pharmaceut. Negative Results 2150–2161 (2023)

    Google Scholar 

  52. Khurma, O.A., Ali, N., Hashem, R.: Critical reflections on ChatGPT in UAE education: navigating equity and governance for safe and effective use. Int. J. Emerg. Technol. Learn. (iJET) 18(14), 188–199 (2023)

    Article  Google Scholar 

  53. Kim, J.: Leading teachers’ perspective on teacher-AI collaboration in education. Educ. Inf. Technol. (2023)

    Google Scholar 

  54. Kim, K., Kwon, K.: Exploring the AI competencies of elementary school teachers in South Korea. Comput. Educ. Artif. Intell. 4, 100137 (2023)

    Article  Google Scholar 

  55. Kortemeyer, G.: Could an artificial-intelligence agent pass an introductory physics course? Phys. Rev. Phys. Educ. Res. 19(1), 010132 (2023)

    Article  Google Scholar 

  56. Lai, T., et al.: The application of artificial intelligence technology in education influences Chinese adolescent’s emotional perception. Curr. Psychol. 43(6), 5309–5317 (2024)

    Article  Google Scholar 

  57. Leung, C.H., Chan, W.T.Y., Xiao, J.J.: A study on perceived benefits and applications of generative artificial intelligence in education. Int. J. Educ. Sci. Res. 13(1), 47–58 (2023)

    Google Scholar 

  58. Liang, Y.: Balancing: the effects of AI tools in educational context. Front. Humanities Soc. Sci. 3(8), 7–10 (2023)

    Article  Google Scholar 

  59. Lin, C.C., Huang, A.Y.Q., Lu, O.H.T.: Artificial intelligence in intelligent tutoring systems toward sustainable education: a systematic review. Smart Learn. Environ. 10(1), 41 (2023)

    Article  Google Scholar 

  60. Lin, S.M., Chung, H.H., Chung, F.L., Lan, Y.J.: Concerns about using ChatGPT in education. In: Huang, Y.M., Rocha, T. (eds.) ICITL 2023. LNCS, vol. 14099, pp. 37–49. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-40113-8_4

    Chapter  Google Scholar 

  61. Lin, Z.: Why and how to embrace AI such as ChatGPT in your academic life (2023)

    Google Scholar 

  62. Lou, Y.: Exploring the application of ChatGPT to English teaching in a Malaysia primary school. J. Adv. Res. Educ. 2(4), 47–54 (2023)

    Article  Google Scholar 

  63. Malinka, K., Peresíni, M., Firc, A., Hujnák, O., Janus, F.: On the educational impact of ChatGPT: is artificial intelligence ready to obtain a university degree? In: Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education, vol. 1. ACM (2023)

    Google Scholar 

  64. McGee, R.W.: What are the top 20 questions in sociology? a chatgpt reply. Technical report, Working Paper (2023). https://ssrn.com/abstract= 4413441

  65. Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D.E., Thierry-Aguilera, R., Gerardou, F.S.: Challenges and opportunities of generative AI for higher education as explained by ChatGPT. Educ. Sci. 13(9), 856 (2023)

    Article  Google Scholar 

  66. Molek, N.: AI and organizational transformation: anthropological insights into higher education. Chall. Future 8, 148–177 (2023)

    Google Scholar 

  67. Nascimento, N., Alencar, P., Cowan, D.: Artificial intelligence versus software engineers: an evidence-based assessment focusing on non-functional requirements (2023)

    Google Scholar 

  68. Nazareth, J.L.: A shakespearean experiment with chatgpt (2023)

    Google Scholar 

  69. Nazir, T., Ahmad, U., Mal, M., Rehman, M.M.U., Saeed, R., Kalia, J.S.: Microsoft bing vs google bard in neurology: a comparative study of AI-generated patient education material (2023)

    Google Scholar 

  70. Nguyen, P., Truoing, H., Nguyen, P., Bruneau, P., Cao, L., Wang, J.: Evaluation of Google Bard on Vietnamese High School Biology Examination. Researchgate. Net (2023)

    Google Scholar 

  71. Nguyen, K.H., Nguyen, H.A., Cao, L., Hana, T.: Potential of ChatGPT in biology teaching and learning at the Vietnamese high school (2023)

    Google Scholar 

  72. Nguyen, P., Truong, H., Nguyen, P., Bruneau, P., Cao, L., Wang, J.: Google bard’s performance on Vietnamese high school civic education examination (2023)

    Google Scholar 

  73. O’Leary, D.E.: An analysis of watson vs. BARD vs. ChatGPT: The jeopardy! challenge. AI Maga. (2023)

    Google Scholar 

  74. Oosterwyk, G., Tsibolane, P., Kautondokwa, P., Canani, A.: Beyond the hype: a cautionary tale of chatgpt in the programming classroom (2023)

    Google Scholar 

  75. Ouyang, F., Jiao, P.: Artificial intelligence in education: the three paradigms. Comput. Educ. Artif. Intell. 2, 100020 (2021)

    Article  Google Scholar 

  76. Page, M.J., et al.: The prisma 2020 statement: an updated guideline for reporting systematic reviews. Int. J. Surg. 88, 105906 (2021)

    Article  Google Scholar 

  77. Pavlik, J.V.: Collaborating with ChatGPT: considering the implications of generative artificial intelligence for journalism and media education. J. Mass Commun. Educ. 78(1), 84–93 (2023)

    Google Scholar 

  78. Pizzolla, I., Aro, R., Duez, P., De Lièvre, B., Briganti, G.: Integrating artificial intelligence into medical education: lessons learned from a Belgian initiative. J. Interact. Learn. Res. 34(2), 401–424 (2023)

    Google Scholar 

  79. Sudheesh, R., et al.: Analyzing sentiments regarding ChatGPT using novel BERT: a machine learning approach. Information 14(9), 474 (2023)

    Article  Google Scholar 

  80. Ratten, V., Jones, P.: Generative artificial intelligence (ChatGPT): implications for management educators. Int. J. Manag. Educ. 21(3), 100857 (2023)

    Article  Google Scholar 

  81. Rayhan, A., Rayhan, R., Rayhan, S.: Revolutionizing education: the power of artificial intelligence (AI). PhD thesis (2023)

    Google Scholar 

  82. Routray, B.B., Dash, J., Swain, T., Nanda, B.: Exploring the potential of generative AI (2023)

    Google Scholar 

  83. Schönberger, M.: ChatGPT in higher education: the good, the bad, and the university. In: 9th International Conference on Higher Education Advances (HEAd 2023). Universitat Politècnica de València (2023)

    Google Scholar 

  84. Scott-Branch, J., Laws, R., Terzi, P.: The intersection of AI, information and digital literacy: harnessing chatgpt and other generative tools to enhance teaching and learning (2023)

    Google Scholar 

  85. Smith, M.L.: Language models, plagiarism, and legal writing. Univ. New Hampshire Law Rev. 22 (2023)

    Google Scholar 

  86. Supriyadi, E., Kuncoro, K.S.: Exploring the future of mathematics teaching: insight with ChatGPT. Union: Jurnal Ilmiah Pendidikan Matematika 11(2), 305–316 (2023)

    Google Scholar 

  87. Tartaro, A.: When things go wrong: the recall of AI systems as a last resort for ethical and lawful AI. AI Eth. (2023)

    Google Scholar 

  88. Thurzo, A., Strunga, M., Urban, R., Surovková, J., Afrashtehfar, K.I.: Impact of artificial intelligence on dental education: a review and guide for curriculum update. Educ. Sci. 13(2), 150 (2023)

    Article  Google Scholar 

  89. Toutain, O., Jabbouri, R.: Artificial intelligence and the transformation of management education. Manag. Int. 27(2), 119–132 (2023)

    Google Scholar 

  90. Tupper, M., Hendy, I.W., Shipway, J.R.: Field courses for dummies: can ChatGPT design a higher education field course? (2023)

    Google Scholar 

  91. Tzirides, A.O., et al. Generative AI: implications and applications for education. Article In Review (2023)

    Google Scholar 

  92. Ugo, C.A.: An empirical investigation of the impact of artificial intelligence on accounting practice in Nigeria. Afr. J. Account. Finan. Res. 6(3), 22–35 (2023)

    Google Scholar 

  93. Uzumcu, O., Acilmis, H.: Do innovative teachers use AI-powered tools more interactively? a study in the context of diffusion of innovation theory. Technol. Knowl. Learn. (2023)

    Google Scholar 

  94. Walczak, K., Cellary, W.: Challenges for higher education in the era of widespread access to generative AI. Econ. Bus. Rev. 9(2), 71–100 (2023)

    Article  Google Scholar 

  95. Wardat, Y., Tashtoush, M.A., AlAli, R., Jarrah, A.M.: ChatGPT: a revolutionary tool for teaching and learning mathematics. Eurasia J. Math. Sci. Technol. Educ. 19(7), em2286 (2023)

    Article  Google Scholar 

  96. Williamson, B.: The social life of AI in education. Int. J. Artif. Intell. Educ. (2023)

    Google Scholar 

  97. Dao, X.Q., Le, N.B.: Chatgpt is good but bing chat is better for vietnamese students (2023)

    Google Scholar 

  98. Xue, Y., Wang, Y.: Artificial intelligence for education and teaching. Wirel. Commun. Mob. Comput. 2022, 1–10 (2022)

    Article  Google Scholar 

  99. Zekaj, R.: AI language models as educational allies: enhancing instructional support in higher education. Int. J. Learn. Teach. Educ. Res. 22(8), 120–134 (2023)

    Article  Google Scholar 

  100. Zhang, B., Liu, T., Liang, P., Wang, C., Shahin, M., Yu, J.: Architecture decisions in AI-based systems development: an empirical study. In: 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER). IEEE (2023)

    Google Scholar 

  101. Zhou, J., Zhang, J., Li, H.: Exploring the use of artificial intelligence in teaching management and evaluation based on citation space analysis. J. Educ. Edu. Res. 3(2), 42–45 (2023)

    Article  Google Scholar 

  102. Zhou, X.: Research on classroom teaching behavior analysis system based on artificial intelligence technology. In: Proceedings of the 2nd International Conference on New Media Development and Modernized Education. SCITEPRESS - Science and Technology Publications (2022)

    Google Scholar 

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Jahić, I., Ebner, M., Schön, S., Edelsbrunner, S. (2024). Exploring the Use of Generative AI in Education: Broadening the Scope. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies. HCII 2024. Lecture Notes in Computer Science, vol 14724. Springer, Cham. https://doi.org/10.1007/978-3-031-61691-4_19

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