Exploring the Impact of Generative AI on Self-Learning in Education

June 2024
Vol-10, Issue-3
Paper ID: 24324
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Science
Keywords
Generative AI Self-directed Learning Personalized Learning Adaptive Learning Curriculum Design Educational Technology Ethical AI Data Privacy Algorithmic Bias Equity in Education Accessibility Teacher Training.
Abstract
This paper delves into the transformative potential of generative Artificial Intelligence (AI) in facilitating self-directed learning. Generative AI encompasses a suite of advanced capabilities, such as personalised learning insights, adaptive curriculum development, and innovative collaborative learning tools. These features empower students to take proactive control of their educational journeys, tailoring their learning experiences to their unique needs and preferences. However, the responsible implementation of generative AI necessitates careful consideration of ethical issues, including data privacy, algorithmic bias, and transparency. To address these challenges, this paper proposes a comprehensive approach for integrating generative AI into curriculum design. This approach emphasises a thorough analysis of student needs, the creation of adaptable and personalised content, the establishment of iterative feedback loops, and the promotion of collaborative learning environments. By focusing on these areas, educators can enhance the effectiveness and inclusivity of self-directed learning. Furthermore, the paper underscores the importance of equity and accessibility in the design of generative AI tools. Inclusive design principles, personalised learning pathways, and a culture of collaborative learning are essential for ensuring that all students, regardless of their backgrounds, can benefit from these advanced technologies. By preparing educators to embrace generative AI and fostering an environment that supports lifelong learning, creativity, and critical thinking, we can unlock the full potential of self-directed learning.

Author Information

# Name Institute / Affiliation
1 Darpan Dattatray Karanje Student, Institute of Computer Science, Mumbai Educational Trust.
2 Omprakash Mandge Professor, Institute of Computer Science, Mumbai Educational Trust

How to Cite

Use the following formats to cite this article in your research.

APA Style
Karanje, Darpan Dattatray & Mandge, Omprakash (2024). Exploring the Impact of Generative AI on Self-Learning in Education. International Journal of Advance Research and Innovative Ideas In Education, 10(3), 5476-5490.
MLA Style
Karanje, Darpan Dattatray, and Omprakash Mandge. "Exploring the Impact of Generative AI on Self-Learning in Education." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, 2024, pp. 5476-5490.
IEEE Style
Darpan Dattatray Karanje and Omprakash Mandge, "Exploring the Impact of Generative AI on Self-Learning in Education," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, pp. 5476-5490, 2024.
Vancouver Style
Karanje Darpan Dattatray, Mandge Omprakash. Exploring the Impact of Generative AI on Self-Learning in Education. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(3):5476-5490.
Harvard Style
Karanje, Darpan Dattatray & Mandge, Omprakash (2024) 'Exploring the Impact of Generative AI on Self-Learning in Education', International Journal of Advance Research and Innovative Ideas In Education, 10(3), pp. 5476-5490.
Chicago Style
Karanje, Darpan Dattatray and Omprakash Mandge. "Exploring the Impact of Generative AI on Self-Learning in Education." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 5476-5490.
Turabian Style
Karanje, Darpan Dattatray and Omprakash Mandge. "Exploring the Impact of Generative AI on Self-Learning in Education." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 5476-5490.

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