INTEGRATING GENERATIVE ARTIFICIAL INTELLIGENCE INTO MODERN TEACHING METHODS: OPPORTUNITIES AND CHALLENGES
DOI:
https://doi.org/10.65164/nb6yc352Keywords:
Generative Artificial Intelligence, Higher Education, Teaching Methods, Student Learning, Educational Technology, Digital Learning, Academic IntegrityAbstract
This article examines the integration of generative artificial intelligence (AI) into modern teaching methods in higher education, focusing on its key opportunities and challenges. With the rapid development of digital technologies, generative AI has emerged as a powerful tool capable of creating humanlike content, supporting personalized learning, and enhancing the overall educational experience. The study highlights how AI can improve efficiency, accessibility, and student engagement by providing instant feedback, adaptive learning resources, and creative support.
References
1.
Stuart Russell & Peter Norvig. (2021). Artificial Intelligence: A Modern Approach. Pearson.
2.
UNESCO. (2021). Artificial Intelligence and Education: Guidance for Policymakers.
3.
OECD. (2021). AI in Education: Challenges and Opportunities.
4.
World Economic Forum. (2020). The Future of Jobs Report.
5.
European Commission. (2022). Ethical Guidelines for Artificial Intelligence.
6.
Rose Luckin. (2018). Machine Learning and Human Intelligence. UCL Institute of Education Press.
7.
Stanford University. (2023). AI Index Report.
