Book Title: Innovative Approaches in Multidisciplinary Research and Development (IAMRD)
Chief Editors: Dr. Anil Kashinath Salunke and Dr. Rituraj Pant
Associate Editors: Prof. (Dr.) Sourav Madhur Dey and Dr. Amrutha Satheesan
Co-Editors: Dr. Souvik Sur and Dr. Phakir Singh
ISBN: 978-93-7183-004-1
Chapter: 12
DOI: https://doi.org/10.59646/708/12
Author: Dr. Kartika Saharan
Abstract
Generative artificial intelligence (AI) is reshaping the landscape of the current educational system and curriculum design in various learning contexts. This research paper examines how generative AI is currently being used to shape curriculum, planning and instructional design and personalized learning experiences in the modern classroom. This study addresses accessible curricular practices in schools and higher education institutions and evaluates them in comparison to such practices supported by the use of AI, regarding their effectiveness in teaching, involvement of learners, and learning outcomes. The research is mixed method, and the quantitative data collected for academics performance, digital learning adoption, curriculum implementation are then followed by qualitative data obtained from structured interview with educators, curriculum designers, and students. These results suggest that there are substantial differences in the use of generative AI in educational settings. Institutions with high technological readiness and digital preparedness showed higher levels of AI support for curriculum tools, whereas those with limited technological resources experienced difficulties with technological access, teachers’ preparation, and ethical issues concerning the use of AI. Despite these constraints, generative AI has enhanced aspects of curriculum flexibility, such as the ability to provide personalized learning pathways, to automate content production, to create adaptive tests and assessments, and to provide real-time academic support for students. Moreover, the acceptance of the educator and the student indicates a fair balance between efficiency, creativity, and accessibility as positive attributes of AI use and data privacy, AI generated content bias, technology overuse, and academic integrity issues as significant challenges. In addition, the study identifies policy recommendations and strategic frameworks which could facilitate the responsible use of AI in education, such as investments in digital education infrastructure, teacher professional development programs, ethical regulation of AI use in education, and inclusive educational curriculum planning. This paper highlights the multifaceted applications of generative AI in education, showing how it can drive adaptive learning, personalization, and tech-savvy systems for student learning. The comparative analysis offers a valuable guideline for policy makers, schools, curriculum developers, and technology providers looking to maximize the use of AI in education, maintain equity, and ensure quality in learning experiences.
Keywords: Generative AI, Curriculum design, Artificial intelligence in education, Personalized learning, Digital classrooms, Educational technology, Adaptive learning, AI-assisted teaching, Smart education, Classroom innovation