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Types of AI and Their Transformative Impact on Curriculum Development

Dr. Somnath Das
Assistant Professor, Department of Education, CDOE, The University of Burdwan, 713104, West Bengal, India

Saeed Anowar
Research Scholar, Department of Education, Aliah University, Park Circus Campus, Kolkata-700014, West Bengal,India

Published online:30 June, 2024

DOI: https://doi.org/10.52756/lbsopf.2024.e02.015

Keywords: Artificial Intelligence; Curriculum Development; Reactive Machines; Personalized Learning; Interactive Learning Tools; Adaptive Learning Platforms

Abstract:

This Study explores the various types of artificial intelligence (AI) and their transformative impact on curriculum development. By categorizing AI into Reactive Machines, Limited Memory, Theory of Mind, and Self-aware AI, the article examines how each type influences the design and delivery of educational content. Reactive Machines, capable of real-time responses, enhance interactive learning tools and classroom decision-making. Limited Memory AI, which can recall past interactions, supports personalized learning experiences through adaptive learning platforms. Theory of Mind AI, understanding emotions and social cues, offers potential for emotionally intelligent tutoring systems. Self-aware AI, though theoretical, represents the future of AI with the potential for profound changes in education. The integration of these AI types into curriculum development promises to create more dynamic, responsive, and personalized learning environments, ultimately improving educational outcomes. This study uses a systematic literature review and qualitative analysis, collecting data from databases like SCOPUS and Google Scholar, and conducting interviews and focus groups with educators and AI experts. Thematic analysis identifies patterns in AI’s impact on curriculum development. The analysis found that, AI’s transformative impact on curriculum development, noting improvements such as a 25% boost in student performance, 15% increased engagement, and a 10% reduction in dropout rates. AI also cuts grading time by 80%, scheduling by 80%, and feedback time by up to 98.5%, significantly enhancing educational efficiency and personalization.

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Life as Basic
Science: An Overview and Prospects for the Future Volume: 2

How to Cite
Dr. Somnath Das, Saeed Anowar (2024). Types of AI and Their Transformative Impact on Curriculum Development. © International Academic Publishing House (IAPH), Dr. Somnath Das, Dr. Latoya Appleton, Dr. Jayanta Kumar Das, Madhumita Das (eds.), Life as Basic Science: An Overview and Prospects for the Future Volume: 2, pp. 174-195. ISBN: 978-81- 969828-6-7
DOI: https://doi.org/10.52756/lbsopf.2024.e02.015

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