International Journal For Multidisciplinary Research

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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 4 July-August 2024 Submit your research before last 3 days of August to publish your research paper in the issue of July-August.

The Future of Learning: AI-Based Curriculum Development

Author(s) Rachid Ejjami
Country France
Abstract The rapid advancement of artificial intelligence (AI) has ushered in a new age in education, with prospects to tailor learning experiences and change teaching processes. Conventional educational systems often find it difficult to accommodate varied learning styles and needs, resulting in disengagement and wasted opportunities. AI-powered technologies, such as personalized learning algorithms and adaptive assessment tools, provide solutions by customizing educational experiences for each student, increasing engagement and motivation. This integrated literature review (ILR) offers an in-depth examination of AI-based curriculum development, focusing on its revolutionary impact on education. The research aims to build an AI-based curriculum that customizes learning and fulfills varied student needs without increasing existing inequities or jeopardizing data privacy and security. The study's purpose is to consolidate current research to highlight the benefits and problems connected with AI integration in education. The underlying conceptual framework incorporates personalized learning algorithms, adaptive assessment tools, and immersive educational technology, highlighting their ability to improve learning outcomes and increase student engagement. This ILR systematically reviews literature, including scholarly papers, articles, conference proceedings, and reputable digital resources. The data collection approach included identifying relevant keywords, conducting extensive searches, and meticulously reviewing selected publications. The review combines technology, pedagogy, psychology, and sociology concepts to understand AI's function in education comprehensively. The results show that personalized learning algorithms can dramatically improve student engagement and academic achievement by offering relevant and sufficiently challenging content. Adaptive assessment technologies provide real-time feedback and interventions, which improves learning outcomes. However, common issues like data privacy, algorithmic biases, and equal access necessitate careful control. Using immersive technology such as virtual reality and augmented reality improves comprehension and retention, but it requires significant financial investment and technical skill. The findings highlight AI's potential to transform education by delivering personalized, adaptable, and engaging learning experiences. Future research and practice recommendations include extensive professional development programs for educators, equal access to AI technologies, and the establishment of solid ethical criteria. The study underlines the need for specific positions in educational institutions, such as AI Data Privacy Coordinators and AI Equity Specialists, to successfully handle ethical and practical concerns. This ILR highlights AI's revolutionary educational potential and offers a road map for using these technologies to create more inclusive, effective, and engaging learning environments. Further research is needed to investigate the long-term effects of AI integration on student results and to provide scalable, adaptive AI solutions for various educational environments.
Keywords Artificial intelligence, AI in education, Personalized learning, Adaptive assessment, Immersive educational technologies, Curriculum development, AI algorithms, Data privacy, Algorithmic bias, Equity in education, Educational outcomes, VR in education, AR in education, Educational innovation, Student engagement, Learning outcomes, AI ethics, Educational policy
Published In Volume 6, Issue 4, July-August 2024
Published On 2024-07-10
Cite This The Future of Learning: AI-Based Curriculum Development - Rachid Ejjami - IJFMR Volume 6, Issue 4, July-August 2024. DOI 10.36948/ijfmr.2024.v06i04.24441
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