Integration of AI into Technology-Based Teaching
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.e02.006
Keywords: Educational efficiency, Personalized learning, Technology-based Teaching, Artificial Intelligence
Abstract:
This research article explores the integration of artificial intelligence (AI) into technology-based teaching, aiming to enhance educational outcomes through innovative approaches. The primary objectives include evaluating the effectiveness of AI-driven tools in facilitating personalized learning and improving student engagement. Methodologically, the study employs a mixed-methods approach. It reviews literature from databases, collects qualitative data via interviews and focus groups with educators and students, and gathers quantitative data through surveys. Analysis reveals AI’s impact on educational efficiency and engagement, maintaining strict ethical standards. Key findings reveal that, the integration of AI into education enhances efficiency and engagement through personalized learning and adaptive tools, improving test scores by 15%, academic performance by 20%, and reducing dropout rates by 10%. AI tools streamline grading, freeing up 50% more teacher time, and improve accessibility for diverse learners, boosting engagement by 30%. The conclusions drawn suggest that AI integration not only improves educational efficiency but also offers scalable solutions to meet diverse learning needs, highlighting the transformative potential of AI in modern education.
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Science: An Overview and Prospects for the Future Volume: 2
How to Cite
Dr. Somnath Das¹ & Saeed Anowar² (2024). Integration of AI into Technology-Based Teaching. © 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. 74-86. ISBN: 978-81-969828-6-7
Doi:https://doi.org/10.52756/ lbsopf.2024.e02.006
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