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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
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)
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)
Adams, C., Pente, P., Lemermeyer, G., Rockwell, G.: Ethical principles for artificial intelligence in k-12 education. Comput. Educ. Artif. Intell. 4, 100131 (2023)
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)
Aktay, S.: The usability of images generated by artificial intelligence (AI) in education. Int. Technol. Educ. J. 6(2), 51–62 (2022)
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
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
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)
Aluga, M.: Application of CHATGPT in civil engineering. East Afr. J. Eng. 6(1), 104–112 (2023)
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)
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)
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)
Aydin, Ö.: Google bard generated literature review: metaverse. J. AI 7(1), 1–14 (2023)
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)
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)
Blythe, M.C.: An analysis of the suitability of philosophy as a core k-12 public school subject (2023)
Brusilovsky, P.: AI in education, learner control, and human-AI collaboration. Int. J. Artif. Intell. Educ. 34, 122–135 (2023)
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)
Bültemann, M., Rzepka, N., Junger, D., Simbeck, K., Müller, H.G.: Energy consumption of AI in education: a case study (2023)
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)
Chen, L., Chen, P., Lin, Z.: Artificial intelligence in education: a review. IEEE Access 8, 75264–75278 (2020)
Choudhary, N., Bharti, R., Sharma, R.: Role of artificial intelligence in chemistry. Mater. Today: Proc. 48, 1527–1533 (2022)
Cooper, G.: Examining science education in ChatGPT: an exploratory study of generative artificial intelligence. J. Sci. Educ. Technol. 32(3), 444–452 (2023)
Crompton, H., Burke, D.: Artificial intelligence in higher education: the state of the field. Int. J. Educ. Technol. High. Educ. 20(1), 22 (2023)
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)
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)
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)
Dickey, E., Bejarano, A.: A model for integrating generative ai into course content development. arXiv preprint arXiv:2308.12276 (2023)
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)
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)
Dydak, J.: Artificial intelligence and teaching of linear algebra (2023)
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)
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)
Foltynek, T., et al.: ENAI recommendations on the ethical use of artificial intelligence in education. Int. J. Educ. Integrity 19(1), 1–4 (2023)
Freeman-Wong, J., Munguia, D., Mohr, J.J.: Building a strategy to harness chatgpt in education (2023)
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)
Gartner, S., Krašna, M.: Artificial intelligence in education - ethical framework. In: 2023 12th Mediterranean Conference on Embedded Computing (MECO). IEEE (2023)
Gašević, D., Siemens, G., Sadiq, S.: Empowering learners for the age of artificial intelligence. Comput. Educ. Artif. Intell. 4, 100130 (2023)
Ghamrawi, N., Shal, T., Ghamrawi, N.A.R.: Exploring the impact of AI on teacher leadership: regressing or expanding? Educ. Inf. Technol. (2023)
Gupta, N., Gupta, P., Nadeem, D., Abuzar, A., Elahi, A.: Artificial intelligence in agriculture. SSRN Electron. J. (2023)
Hodges, C., Ocak, C.: Integrating generative AI into higher education: considerations (2023)
Holmes, W.: AIED—coming of age? Int. J. Artif. Intell. Educ. 34(1), 1–11 (2024)
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)
Humphry, T., Fuller, A.L.: Potential ChatGPT use in undergraduate chemistry laboratories. J. Chem. Educ. 100(4), 1434–1436 (2023)
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)
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)
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)
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)
Johnson, W.L.: How to harness generative AI to accelerate human learning. Int. J. Artif. Intell. Educ. (2023)
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)
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)
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)
Kim, J.: Leading teachers’ perspective on teacher-AI collaboration in education. Educ. Inf. Technol. (2023)
Kim, K., Kwon, K.: Exploring the AI competencies of elementary school teachers in South Korea. Comput. Educ. Artif. Intell. 4, 100137 (2023)
Kortemeyer, G.: Could an artificial-intelligence agent pass an introductory physics course? Phys. Rev. Phys. Educ. Res. 19(1), 010132 (2023)
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)
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)
Liang, Y.: Balancing: the effects of AI tools in educational context. Front. Humanities Soc. Sci. 3(8), 7–10 (2023)
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)
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
Lin, Z.: Why and how to embrace AI such as ChatGPT in your academic life (2023)
Lou, Y.: Exploring the application of ChatGPT to English teaching in a Malaysia primary school. J. Adv. Res. Educ. 2(4), 47–54 (2023)
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)
McGee, R.W.: What are the top 20 questions in sociology? a chatgpt reply. Technical report, Working Paper (2023). https://ssrn.com/abstract= 4413441
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)
Molek, N.: AI and organizational transformation: anthropological insights into higher education. Chall. Future 8, 148–177 (2023)
Nascimento, N., Alencar, P., Cowan, D.: Artificial intelligence versus software engineers: an evidence-based assessment focusing on non-functional requirements (2023)
Nazareth, J.L.: A shakespearean experiment with chatgpt (2023)
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)
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)
Nguyen, K.H., Nguyen, H.A., Cao, L., Hana, T.: Potential of ChatGPT in biology teaching and learning at the Vietnamese high school (2023)
Nguyen, P., Truong, H., Nguyen, P., Bruneau, P., Cao, L., Wang, J.: Google bard’s performance on Vietnamese high school civic education examination (2023)
O’Leary, D.E.: An analysis of watson vs. BARD vs. ChatGPT: The jeopardy! challenge. AI Maga. (2023)
Oosterwyk, G., Tsibolane, P., Kautondokwa, P., Canani, A.: Beyond the hype: a cautionary tale of chatgpt in the programming classroom (2023)
Ouyang, F., Jiao, P.: Artificial intelligence in education: the three paradigms. Comput. Educ. Artif. Intell. 2, 100020 (2021)
Page, M.J., et al.: The prisma 2020 statement: an updated guideline for reporting systematic reviews. Int. J. Surg. 88, 105906 (2021)
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)
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)
Sudheesh, R., et al.: Analyzing sentiments regarding ChatGPT using novel BERT: a machine learning approach. Information 14(9), 474 (2023)
Ratten, V., Jones, P.: Generative artificial intelligence (ChatGPT): implications for management educators. Int. J. Manag. Educ. 21(3), 100857 (2023)
Rayhan, A., Rayhan, R., Rayhan, S.: Revolutionizing education: the power of artificial intelligence (AI). PhD thesis (2023)
Routray, B.B., Dash, J., Swain, T., Nanda, B.: Exploring the potential of generative AI (2023)
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)
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)
Smith, M.L.: Language models, plagiarism, and legal writing. Univ. New Hampshire Law Rev. 22 (2023)
Supriyadi, E., Kuncoro, K.S.: Exploring the future of mathematics teaching: insight with ChatGPT. Union: Jurnal Ilmiah Pendidikan Matematika 11(2), 305–316 (2023)
Tartaro, A.: When things go wrong: the recall of AI systems as a last resort for ethical and lawful AI. AI Eth. (2023)
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)
Toutain, O., Jabbouri, R.: Artificial intelligence and the transformation of management education. Manag. Int. 27(2), 119–132 (2023)
Tupper, M., Hendy, I.W., Shipway, J.R.: Field courses for dummies: can ChatGPT design a higher education field course? (2023)
Tzirides, A.O., et al. Generative AI: implications and applications for education. Article In Review (2023)
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)
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)
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)
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)
Williamson, B.: The social life of AI in education. Int. J. Artif. Intell. Educ. (2023)
Dao, X.Q., Le, N.B.: Chatgpt is good but bing chat is better for vietnamese students (2023)
Xue, Y., Wang, Y.: Artificial intelligence for education and teaching. Wirel. Commun. Mob. Comput. 2022, 1–10 (2022)
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)
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)
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)
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Ethics declarations
Disclosure of Interests
The authors have no competing interests to declare that are relevant to the content of this article.
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-031-61691-4_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-61690-7
Online ISBN: 978-3-031-61691-4
eBook Packages: Computer ScienceComputer Science (R0)