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Promoting Generative AI Literacy among Students and Teachers

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AI Roles and Responsibilities in Education

Part of the book series: Signals and Communication Technology ((SCT))

Abstract

Recent advancements in artificial intelligence (AI) techniques, particularly generative AI models like ChatGPT and Gemini, have demonstrated significant progress across various domains, by transforming the way we live, learn, and teach. The integration of generative AI (Gen AI) in education opens a new perspective by providing tools able to generate educational resources (courses, exercises, simulations, summaries) personalized and interactive; Gen AI has the potential to make more satisfying and effective learning. However, their integration raises significant challenges, and ethics is mandatory. Although some studies have investigated the use of such models in education, their understanding and integration within educational settings, both for students and teachers, remain unexplored. This chapter explores the importance of promoting Gen AI literacy among students and teachers. It will discuss the benefits and potential challenges of integrating Gen AI into the learning activities and provide strategies for fostering responsible and effective use of this technology.

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References

  • Alier, M., García-Peñalvo, F.J., Camba, J.D.: Generative artificial intelligence in education: from deceptive to disruptive. International Journal of Interactive Multimedia and Artificial Intelligence. 8, Special issue on Generative Artificial Intelligence in Education, no. 5, 5–14 (2024)

    Article  Google Scholar 

  • 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 

  • Ardito C.G (2023) Contra generative AI detection in higher education assessments. arXiv preprint arXiv:2312.05241

    Google Scholar 

  • Boonpetchkaew, N., Kamak, W., Namraksa, S., Siri, P.: Assessing the evolution of educational innovative organizational management models in twenty-first century schools: a qualitative case study of educational institutions in Krabi, Thailand. Adv Knowl Exec. 3(1), 1–9 (2024)

    Google Scholar 

  • Bradley, V.M.: Learning management system (LMS) use with onlineinstruction. Int J Technol Educ. 4(1), 68–92 (2021)

    Article  Google Scholar 

  • Cao, Y., Li, S., Liu, Y., Yan, Z., Dai, Y., Yu, P.S., Sun, L.: A comprehensive survey of AI-generated content (aigc): a history of generative AI from GAN to ChatGPT. arXiv preprint, arXiv:2303.04226 (2023)

    Google Scholar 

  • Chiu, T.K.: The Impact of Generative AI (Gen AI) on Practices, Policies and Research Direction in Education: a Case of ChatGPT and Midjourney, pp. 1–17. Interact Learn Environ (2023)

    Google Scholar 

  • Cobb, P.J.: Large language models and generative AI, oh my!: archaeology in the time of ChatGPT, Midjourney, and beyond. Adv. Archaeol. Pract. 11(3), 363–369 (2023)

    Article  Google Scholar 

  • Compilatio (2023) AI in education: Detailed results of a survey where students and teachers compare their views. Retrieved from https://www.compilatio.net/blog/enquete-ia-enseignement-2023

  • Efros A. A., Leung T. K (1999, September) Texture synthesis by non-parametric sampling. In Proceedings of the seventh IEEE international conference on computer vision (Vol. 2, pp. 1033–1038), IEEE

    Google Scholar 

  • Ferrell, O.C., Ferrell, L.: Technology challenges and opportunities facing marketing education. Mark. Educ. Rev. 30(1), 3–14 (2020)

    Google Scholar 

  • Gallardo-Williams, M., Morsch, L.A., Paye, C., Seery, M.K.: Student-generated video in chemistry education. Chem Educ Res Pract. 21(2), 488–495 (2020)

    Article  Google Scholar 

  • Gligorea, I., Cioca, M., Oancea, R., Gorski, A.T., Gorski, H., Tudorache, P.: Adaptive learning using artificial intelligence in e-learning: a literature review. Educ Sci. 13(12), 1216 (2023)

    Article  Google Scholar 

  • Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., et al.: Generative adversarial nets. Adv. Neural Inf. Proces. Syst. 27 (2014)

    Google Scholar 

  • Gozalo-Brizuela, R., Garrido-Merchán, E.C.: A survey of Generative AI applications. arXiv preprint, arXiv:2306.02781 (2023)

    Google Scholar 

  • Granda, B.S., Inzhivotkina, Y., Apolo, M.F.I., Fajardo, J.G.U.: Educational innovation: exploring the potential of generative artificial intelligence in cognitive schema building. Edutec, Revista Electrónica de Tecnología Educativa. 89, 44–63 (2024)

    Article  Google Scholar 

  • Gris L. R. S, Fernandes D, de Oliveira F. S (2024, March) Automatic speech-to-speech translation of educational videos using SeamlessM4T and its use for future VR applications. In 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 163–166) IEEE

    Google Scholar 

  • Holmes, W., Miao, F.: Guidance for Generative AI in Education and Research. UNESCO Publishing (2023)

    Google Scholar 

  • Holmes, W., Porayska-Pomsta, K.: The Ethics of Artificial Intelligence in Education. Routledge Taylor (2023)

    Google Scholar 

  • Ji, Z., Lee, N., Frieske, R., Yu, T., Su, D., Xu, Y., et al.: Survey of hallucination in natural language generation. ACM Comput. Surv. 55(12), 1–38 (2023)

    Article  Google Scholar 

  • Kaleli, Y.S.: The effect of computer-assisted instruction on piano education: an experimental study with pre-service music teachers. Int J Technol Educ Sci. 4(3), 235–246 (2020)

    Article  Google Scholar 

  • Kim, N.Y., Cha, Y., Kim, H.S.: Future english learning: chatbots and artificial intelligence. Multimedia Assist Lang Learn. 22(3), 32–53 (2019)

    Google Scholar 

  • Kumar, A., Burr, P., Young, T.M.: Using AI text-to-image generation to create novel illustrations for medical education: current limitations as illustrated by hypothyroidism and horner syndrome. JMIR Med Educ. 10(1), e52155 (2024)

    Article  Google Scholar 

  • Law, L.: Application of generative artificial intelligence (gen AI) in language teaching and learning: a scoping literature review. Comput Educ Open. 100174 (2024)

    Google Scholar 

  • Leiker D, Gyllen A. R, Eldesouky I, Cukurova M (2023, June) Generative AI for learning: investigating the potential of learning videos with synthetic virtual instructors. In International Conference on Artificial Intelligence in Education (pp. 523–529) Cham: Springer Nature Switzerland

    Google Scholar 

  • Lewkowycz, A., Andreassen, A., Dohan, D., Dyer, E., Michalewski, H., Ramasesh, V., et al.: Solving quantitative reasoning problems with language models. Adv. Neural Inf. Proces. Syst. 35, 3843–3857 (2022)

    Google Scholar 

  • Li Z (2024). Generative AI in Higher Education Academic Assignments: Policy Implications from a Systematic Review of Student and Teacher Perceptions (Doctoral dissertation, Massachusetts Institute of Technology)

    Google Scholar 

  • Li, J. Z, Le Zhou A (2021) The Museum of Dreams: Exploring a “Dreaming” Visual Experience via Machine Vision and Visual Synthesis. In Cross-Cultural Design. Applications in Arts, Learning, Well-being, and Social Development: 13th International Conference, CCD 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings, Part II 23, pp. 31–39. Springer International Publishing

    Google Scholar 

  • Liu, Y., Wang, H.: Who on Earth Is Using Generative AI? World Bank, Washington, DC (2024)

    Book  Google Scholar 

  • Liu, X., Zhong, B.: What to Consider before Incorporating Generative AI into Schools? pp. 1–3. AI SOC (2024)

    Google Scholar 

  • Lo, C.K.: What is the impact of ChatGPT on education? A rapid review of the literature. Educ Sci. 13(4), 410 (2023)

    Article  Google Scholar 

  • Lu, S., Guo, D., Ren, S., Huang, J., Svyatkovskiy, A., Blanco, A., et al.: Codexglue: a machine learning benchmark dataset for code understanding and generation. arXiv preprint, arXiv:2102.04664 (2021)

    Google Scholar 

  • Markauskaite, L., Marrone, R., Poquet, O., Knight, S., Martinez-Maldonado, R., Howard, S., et al.: Rethinking the entwinement between artificial intelligence and human learning: what capabilities do learners need for a world with AI? Comput Educ Artif Intell. 3, 100056 (2022)

    Article  Google Scholar 

  • Mikolov, T., Karafiát, M., Burget, L., Cernocký, J., Khudanpur, S.: Recurrent neural network based language model. Interspeech. 2(3), 1045–1048 (2010)

    Google Scholar 

  • Natale, N.: A-literacy and digital orality: a figure/ground relation for our digital dilemma. N Expl Stud Cult Commun. 3(2) (2023)

    Google Scholar 

  • Newswire (2024, December 13) With most Canadian students now using generative AI, they confess they’re not learning as much. Retrieved from https://www.newswire.ca/news-releases/with-most-canadian-students-now-using-generative-ai-they-confess-they-re-not-learning-as-much-874700512.html

  • Okonkwo, C.W., Ade-Ibijola, A.: Python-bot: a chatbot for teaching python programming. Eng. Lett. 29(1) (2020)

    Google Scholar 

  • Perera, P., Lankathilake, M.: Preparing to revolutionize education with the multi-model gen AI tool Google Gemini? A journey towards effective policy making. J Adv Educ Philos. 7, 246–253 (2023). https://doi.org/10.36348/jaep.2023.v07i08.001

    Article  Google Scholar 

  • Qu C, Dai S, Wei X, Cai H, Wang S, Yin D, & Wen J. R (2024, October) Towards completeness-oriented tool retrieval for large language models. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (pp. 1930-1940)

    Google Scholar 

  • Radford, A., Narasimhan, K., Salimans, T., Sutskever, I.: Improving Language Understanding by Generative Pre-Training. OpenAI Blog (2018) Retrieved from https://blog.openai.com/language-unsupervised/

    Google Scholar 

  • Ramesh, A., Pavlov, M., Goh, G., Gray, S., Voss, C., Radford, A., et al.: Zero-shot text-to-image generation. In: International Conference on Machine Learning, pp. 8821–8831. Pmlr (2021)

    Google Scholar 

  • Rawte, V., Sheth, A., Das, A.: A survey of hallucination in large foundation models. arXiv preprint, arXiv:2309.05922. (2023)

    Google Scholar 

  • Reach Capital: 2024 EdTech conference calendar. https://www.reachcapital.com/2024-edtech-conference-calendar/ (2024) Accessed 20 June 2024

  • Reed, J.M.: Using generative AI to produce images for nursing education. Nurse Educ. 48(5), 246 (2023)

    Article  Google Scholar 

  • Rejeki S (2023) Students’ Perceived Knowledge of Using Grammarly Application in Academic Writing (Master’s thesis, FITK UIN Syarif Hidayatullah Jakarta, Jakarta)

    Google Scholar 

  • Ruiz-Rojas, L.I., Acosta-Vargas, P., De-Moreta-Llovet, J., Gonzalez-Rodriguez, M.: Empowering education with generative artificial intelligence tools: approach with an instructional design matrix. Sustain. For. 15(15), 11524 (2023)

    Google Scholar 

  • Schick, T., Dwivedi-Yu, J., Jiang, Z., Petroni, F., Lewis, P., Izacard, G., et al.: Peer: A collaborative language model. arXiv preprint, arXiv:2208.11663 (2022)

    Google Scholar 

  • Shahzad, M.F., Xu, S., Zahid, H.: Exploring the Impact of Generative AI-Based Technologies on Learning Performance through Self-Efficacy, Fairness & Ethics, Creativity, and Trust in Higher Education, pp. 1–26. Education and Information Technologies (2024)

    Google Scholar 

  • Sharples, M.: Towards social generative AI for education: theory, practices and ethics. Learn.: Res. Pract. 9(2), 159–167 (2023)

    Google Scholar 

  • Silva, C.A.G.D., Ramos, F.N., de Moraes, R.V., Santos, E.L.D.: ChatGPT: challenges and benefits in software programming for higher education. Sustain. For. 16(3), 1245 (2024)

    Google Scholar 

  • Smolansky A, Cram A, Raduescu C, Zeivots S, Huber E, Kizilcec R. F (2023) Educator and Student Perspectives on the Impact of Generative AI on Assessments in Higher Education. Proceedings of the Tenth ACM Conference on Learning @ Scale, 378–382. https://doi.org/10.1145/3573051.3596191

  • Sunder N (2024) Virtual reality development using AI-based tools in education

    Google Scholar 

  • Taylor, R., Kardas, M., Cucurull, G., Scialom, T., Hartshorn, A., Saravia, E., Poulton, A., Kerkez, V., Stojnic, R.: Galactica: a large language model for science. arXiv preprint, arXiv:2211.09085 (2022) Retrieved from https://arxiv.org/abs/2211.09085

  • Touvron, H., Lavril, T., Izacard, G., Martinet, X., Lachaux, M.A., Lacroix, T., et al.: Llama: open and efficient foundation language models. arXiv preprint, arXiv:2302.13971 (2023)

    Google Scholar 

  • Tunstall, L., Von Werra, L., Wolf, T.: Natural Language Processing with Transformers. O'Reilly Media, Inc. (2022)

    Google Scholar 

  • Université de Montpellier (2023) Usages des intelligences artificielles génératives (ChatGPT, etc.) Retrieved from https://numerique.umontpellier.fr/usages-des-intelligences-artificielles-generatives-chatgpt-etc/

  • Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., et al.: Attention is all you need. Adv. Neural Inf. Proces. Syst. 30 (2017)

    Google Scholar 

  • Wang, H., Dang, A., Wu, Z., Mac, S.: Generative AI in higher education: seeing ChatGPT through universities' policies, resources, and guidelines. Comput Educ Artif. Intell., 100326 (2024)

    Google Scholar 

  • Williamson, B., Komljenovic, J., Gulson, K.: World Yearbook of Education 2024: Digitalisation of Education in the Era of Algorithms, Automation and Artificial Intelligence. Taylor & Francis (2023)

    Book  Google Scholar 

  • Xu, L., Sanders, L., Li, K., Chow, J.C.L.: Chatbot for health care and oncology applications using artificial intelligence and machine learning: systematic review. JMIR Cancer. 7, e27850 (2021)

    Article  Google Scholar 

  • Yang, Z., Meng, Z., Zheng, X., Wattenhofer, R.: Assessing adversarial robustness of large language models: an empirical study. arXiv preprint, arXiv:2405.02764 (2024)

    Google Scholar 

  • Zawacki-Richter, O., Marín, V.I., Bond, M., Gouverneur, F.: Systematic review of research on artificial intelligence applications in higher education–where are the educators? Int. J. Educ. Technol. High. Educ. 16(1), 1–27 (2019)

    Article  Google Scholar 

  • Zhai X, Chu X, Chai C. S, Jong M. S. Y, Istenic A, Spector M, & Li Y (2021) A review of artificial intelligence (AI) in education from 2010 to 2020. Complexity, 2021(1), 8812542

    Google Scholar 

  • Zhang D, Xia B, Liu Y, Xu X, Hoang T, Xing Z, & Zhu L (2024, April) Privacy and copyright protection in generative AI: a lifecycle perspective. In Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering-Software Engineering for AI (pp. 92–97)

    Google Scholar 

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Authors and Affiliations

  1. LIM Research, Department of Computer Science, University of Souk Ahras, Souk Ahras, Algeria

    Mohamed Soltani, Hafed Zarzour & Ammar Ladjailia

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  1. Mohamed Soltani
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  2. Hafed Zarzour
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  3. Ammar Ladjailia
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Correspondence to Hafed Zarzour .

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  1. Department of Preschool Education, University of Crete, Heraklion, Greece

    Stamatios Papadakis

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Soltani, M., Zarzour, H., Ladjailia, A. (2025). Promoting Generative AI Literacy among Students and Teachers. In: Papadakis, S. (eds) AI Roles and Responsibilities in Education. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-96855-6_12

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