By collecting and collating related literature, six application directions of generative AI in online learning are explored based on the ADDIE model, including personalized learning path design; generation and recommendation of learning resources; virtual assistants and chatbots; interaction between generative AI and instructors; visual presentation and interactive activities; online learning assessment and assignment correction. Both the advantages and limitations of generative AI in online learning are discussed by analyzing relevant cases. Meanwhile, educators need to pay attention to the ethical challenges that generative AI brings to the field of education, and this paper formulates an ethical governance framework for the application of AI in education to regulate the practice of AI in education and promote the development of AI for good.

Jia Peiqi. Applications of Generative Artificial Intelligence in Online Learning and Ethical Governance Framework. Frontiers in Educational Research (2024) Vol. 7, Issue 5: 206-216. https://doi.org/10.25236/FER.2024.070533.

[1] Lund B D, Wang T. Chatting about ChatGPT: how may AI and GPT impact academia and libraries?[J]. Library hi tech news, 2023, 40(3): 26-29.

[2] World Economic Forum (2023a) https://www.weforum.org/agenda/2023/03/chatgpt-and-cheating- 5-ways-to-change-how-students-are-graded

[3] Sruthi P, Mukherjee S. Byju’s the learning app: An investigative study on the transformation from traditional learning to technology based personalized learning[J]. International Journal of Scientific and Technology Research, 2020, 9(3): 5054-5059.

[4] Zhang R, Qiu Y, Li Y. An Empirical Study on Human-Machine Collaborative MOOC Learning Interaction Empowered by Generative AI[C]//2023 International Symposium on Educational Technology (ISET). IEEE, 2023: 116-120.

[5] Ahmad K, Iqbal W, El-Hassan A, et al. Data-driven artificial intelligence in education: A comprehensive review[J]. IEEE Transactions on Learning Technologies, 2023.

[6] Kulik J A, Fletcher J D. Effectiveness of intelligent tutoring systems: a meta-analytic review[J]. Review of educational research, 2016 , 86(1): 42-78.

[7] Zhou Y, Evens M W. A practical student model in an intelligent tutoring system[C]//Proceedings 11th international conference on tools with artificial intelligence. IEEE, 1999: 13-18.

[8] Rai L, Deng C, Liu F. Developing Massive Open Online Course Style Assessments using Generative AI Tools[C]//2023 IEEE 6th International Conference on Electronic Information and Communication Technology (ICEICT). IEEE, 2023: 1292-1294.

[9] Raftery D. Will ChatGPT pass the online quizzes? Adapting an assessment strategy in the age of generative AI[J]. Irish Journal of Technology Enhanced Learning, 2023, 7(1).

[10] Hasib K M, Rahman F, Hasnat R, et al. A machine learning and explainable ai approach for predicting secondary school student performance[C]//2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC). IEEE, 2022: 0399-0405.

[11] Blagoev I, Vassileva G, Monov V. From Data to Learning: The Scientific Approach to AI-Enhanced Online Course Design[C]//2023 International Conference on Big Data, Knowledge and Control Systems Engineering (BdKCSE). IEEE, 2023: 1-5.

[12] Leiker D, Gyllen A R, Eldesouky I, et al. Generative AI for learning: Investigating the potential of synthetic learning videos[J]. arXiv preprint arXiv:2304.03784, 2023.

[13] Kennedy D, Halim E, Condrobimo A R, et al. Overcoming Language Barriers in MOOCs with Artificial Intelligence: An AI-based Approach for Multilingual Education[C]//2023 Eighth International Conference on Informatics and Computing (ICIC). IEEE, 2023: 1-6.

[14] Rüdian, Sylvio and Niels Pinkwart. “Auto-generated language learning online courses using generative AI models like ChatGPT.” [J]Fachtagung "e-Learning" der Gesellschaft für Informatik, 2023.

[15] Elmesalawy M M, Atia A, Yousef A M F, et al. Ai-based flexible online laboratory learning system for post-covid-19 era: Requirements and design[C]//2021 international mobile, intelligent, and ubiquitous computing conference (MIUCC). IEEE, 2021: 1-7.

[16] Yu L, Jinglei Y, Penghe C, et al. Educational Application and Prospect of Generative Artificial Intelligence—Taking the ChatGPT System as an Example [J]. China Distance Education, 2023 (4), 2023.

[17] Cotton D R E, Cotton P A, Shipway J R. Chatting and cheating: Ensuring academic integrity in the era of ChatGPT[J]. Innovations in education and teaching international, 2024, 61(2): 228-239.

[18] Qin Ni et al.“Algorithmic Discrimination in Artificial Intelligence in Education:Potential Risks, Cause Analysis, and Governance Strategies” [J]. China Educational Technology, 2022(12):93-100.

[19] Akgun S, Greenhow C. Artificial intelligence in education: Addressing ethical challenges in K-12 settings[J]. AI and Ethics, 2022, 2(3): 431-440.

[20] Fegade A, Raut R, Deshpande A, et al. Unleashing the Power of Generative Artificial Intelligence: Exploring its Boundless Potential and Overcoming Challenges in Academic Environments[C]//2023 6th International Conference on Contemporary Computing and Informatics (IC3I). IEEE, 2023, 6: 1243-1249.

[21] Danry V, Leong J, Pataranutaporn P, et al. AI-generated characters: putting deepfakes to good use[C]//CHI Conference on Human Factors in Computing Systems Extended Abstracts. 2022: 1-5.

[22] Mirsky Y, Lee W. The creation and detection of deepfakes: A survey[J]. ACM computing surveys (CSUR), 2021, 54(1): 1-41.

[23] Mitra A, Mohanty S P, Corcoran P, et al. A machine learning based approach for deepfake detection in social media through key video frame extraction[J]. SN Computer Science, 2021, 2(2): 98.

[24] Akgun S, Greenhow C. Artificial intelligence in education: Addressing ethical challenges in K-12 settings[J]. AI and Ethics, 2022, 2(3): 431-440.

[25] Toyama K. Geek heresy: Rescuing social change from the cult of technology[M]. PublicAffairs, 2015.

[26] Rothstein D, Santana L. Make just one change: Teach students to ask their own questions[M]. Harvard Education Press, 2011.