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              <text>Enhancing Educational Adaptability: A Review and Analysis of AI-Driven Adaptive Learning Platforms</text>
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              <text>Adaptive Learning Platforms (ALPs); Education; Intelligence; Personalized Learning Paths; Student Engagement</text>
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              <text>This study explores the transformative potential of AI-powered adaptive learning platforms (ALPs) in education, specifically focusing on personalized learning paths and their impact on student engagement and outcomes. Through a comprehensive analysis of four prominent ALPs - Carnegie Learning, DreamBox Learning, Smart Sparrow, and Knewton - this study investigates their approaches to content tailoring and feedback delivery. The comparative analysis highlights each platform's strengths and limitations, providing educators with valuable insights for informed selection and implementation. This study also considers the broader landscape of ALPs, acknowledging concerns such as bias, data privacy, and the role of educators in the tech-driven educational environment. The findings contribute to our understanding of how ALPs can empower educators, personalize learning, and address achievement gaps, offering a nuanced perspective on the complex tapestry of AI in education.   2024 IEEE.</text>
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              <text>Dutta S.; Ranjan S.; Mishra S.; Sharma V.; Hewage P.; Iwendi C.</text>
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              <text>4th International Conference on Innovative Practices in Technology and Management 2024, ICIPTM 2024</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICIPTM59628.2024.10563448" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICIPTM59628.2024.10563448&lt;/a&gt;
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              <text>ISBN: 979-835030775-7</text>
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              <text>Dutta S., Kalinga Institute of Industrial Technology, India; Ranjan S., Kalinga Institute of Industrial Technology, India; Mishra S., Kalinga Institute of Industrial Technology, India; Sharma V., Christ (Deemed to Be University), Department of Computational Sciences, Delhi NCR, India; Hewage P., University of Bolton, School of Creative Technologies, United Kingdom; Iwendi C., University of Bolton, School of Creative Technologies, United Kingdom</text>
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