The Impact of AI-Driven Personalized Learning on Mathematics Achievement and Student Engagement in Rural vs. Urban Schools in Karnataka, India PDF Download
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Author: KHRITISH SWARGIARY
Publisher: GOOGLE
ISBN:
Category : Education
Languages : en
Pages : 21
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Book Description
This empirical study examines the impact of AI-driven personalized learning platforms on mathematics achievement and student engagement among middle school students in rural and urban schools in Karnataka, India. Utilizing a quasi-experimental design, the study involved 400 students (200 rural, 200 urban), split into control and experimental groups. Pre-test and post-test assessments were conducted using standardized mathematics tests, engagement surveys, classroom observations, and AI platform analytics. Results showed significant improvements in post-test scores for the experimental groups using AI platforms compared to control groups in both settings (p < 0.001). Specifically, rural experimental group scores improved from a pre-test mean of 62.5 to a post-test mean of 78.3, while urban experimental group scores increased from 68.2 to 83.9. Engagement levels were also higher in experimental groups, with rural students scoring 78.5 on engagement surveys compared to 65.2 in the control group, and urban students scoring 82.1 compared to 69.8. However, rural schools reported greater challenges in implementation, including inadequate internet connectivity (78% vs. 32%, p < 0.001) and lack of devices (65% vs. 28%, p < 0.001). These findings suggest that while AI-driven platforms significantly enhance educational outcomes, tailored strategies are necessary to address the distinct challenges faced by rural schools. Recommendations include improving rural infrastructure, expanding teacher training, and fostering supportive environments to maximize the benefits of AI-driven personalized learning.
Author: KHRITISH SWARGIARY
Publisher: GOOGLE
ISBN:
Category : Education
Languages : en
Pages : 21
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Book Description
This empirical study examines the impact of AI-driven personalized learning platforms on mathematics achievement and student engagement among middle school students in rural and urban schools in Karnataka, India. Utilizing a quasi-experimental design, the study involved 400 students (200 rural, 200 urban), split into control and experimental groups. Pre-test and post-test assessments were conducted using standardized mathematics tests, engagement surveys, classroom observations, and AI platform analytics. Results showed significant improvements in post-test scores for the experimental groups using AI platforms compared to control groups in both settings (p < 0.001). Specifically, rural experimental group scores improved from a pre-test mean of 62.5 to a post-test mean of 78.3, while urban experimental group scores increased from 68.2 to 83.9. Engagement levels were also higher in experimental groups, with rural students scoring 78.5 on engagement surveys compared to 65.2 in the control group, and urban students scoring 82.1 compared to 69.8. However, rural schools reported greater challenges in implementation, including inadequate internet connectivity (78% vs. 32%, p < 0.001) and lack of devices (65% vs. 28%, p < 0.001). These findings suggest that while AI-driven platforms significantly enhance educational outcomes, tailored strategies are necessary to address the distinct challenges faced by rural schools. Recommendations include improving rural infrastructure, expanding teacher training, and fostering supportive environments to maximize the benefits of AI-driven personalized learning.
Author: Bansal, Rohit
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 307
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Book Description
The shift to virtual education has presented numerous challenges, including maintaining student focus and participation. Traditional methods of instruction often need to catch up in capturing the attention of digital learners, leading to disengagement and reduced learning outcomes. However, there is a solution at hand. AI Algorithms and ChatGPT for Student Engagement in Online Learning offers a comprehensive approach to leveraging artificial intelligence (AI) algorithms and ChatGPT to enhance student engagement in digital classrooms. This book addresses the pressing need for innovative strategies to keep students actively involved in their online learning journey. By harnessing the power of AI algorithms, educators can personalize learning paths to suit individual student needs, ensuring that content is relevant and engaging. Additionally, ChatGPT serves as a virtual assistant, providing students with instant feedback and support, fostering a sense of connection to the learning process.
Author: KHRITISH SWARGIARY
Publisher: scholar press
ISBN:
Category : Education
Languages : en
Pages : 90
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Book Description
How AI Revolutionizes Regional Language Education
Author: Zemelak Goraga
Publisher: Dr. Zemelak Goraga
ISBN:
Category : Computers
Languages : en
Pages : 0
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Book Description
"AI and ML Applications for Decision-Making in Education Sector: Volume 1" offers a groundbreaking exploration into the integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies in educational decision-making processes. This comprehensive guide illuminates the transformative potential of AI and ML applications in optimizing student outcomes, enhancing engagement, and informing strategic decisions within the education sector. From personalized learning pathways to predictive analytics for student success, each chapter delves into innovative approaches that empower educators and administrators to make data-driven decisions. Through insightful analysis, case studies, and practical recommendations, this book equips readers with the knowledge and tools necessary to harness the full potential of AI and ML technologies in shaping the future of education. Whether you're an educator, administrator, or policymaker, this volume serves as an indispensable resource for navigating the complexities of modern education and leveraging technology to drive positive change.
Author: Patsy D. Moskal
Publisher: Taylor & Francis
ISBN: 100092923X
Category : Education
Languages : en
Pages : 364
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Book Description
Data Analytics and Adaptive Learning offers new insights into the use of emerging data analysis and adaptive techniques in multiple learning settings. In recent years, both analytics and adaptive learning have helped educators become more responsive to learners in virtual, blended, and personalized environments. This set of rich, illuminating, international studies spans quantitative, qualitative, and mixed-methods research in higher education, K–12, and adult/continuing education contexts. By exploring the issues of definition and pedagogical practice that permeate teaching and learning and concluding with recommendations for the future research and practice necessary to support educators at all levels, this book will prepare researchers, developers, and graduate students of instructional technology to produce evidence for the benefits and challenges of data-driven learning.
Author: Simon K.S. Cheung
Publisher: Taylor & Francis
ISBN: 1000983900
Category : Education
Languages : en
Pages : 254
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Book Description
This self-contained monograph reports the recent approaches, methods and practices of technology-enabled personalized learning. It serves to provide some useful references for researchers and practitioners in the field in conceptualizing and deploying personalized learning. Personalized learning emphasizes student-centred learning that addresses individual learning strengths, needs, skills, and interests, and allows flexibility in the learning mode, process, time and space, where students can take ownership of their learning. It has been practiced in educational institutions at both K-12 and higher education level and, as evident from several successful cases, is an enabler of personalized learning. Educational technology incorporated with other forms of innovative pedagogical practices, such as blended learning, makes personalized learning a reality to achieve its aims effectively and efficiently. This book begins with a critical review on the features and trends of personalized learning. This is followed by a number of case studies on personalized learning practices with promising results. The latest research findings on the approaches, methods and strategies on design and implementation of personalized learning are then reported. Lastly, the prospects of personalized learning are discussed. All these provide some useful references for researchers and practitioners in the field in conceptualizing and deploying personalized learning. Personalized Learning will be a key resource for academics, researchers, and advanced students of education, instructional design and technology, educational research, educational technology, research methods, STEM Education, information and communications technology, and curriculum and instruction.The chapters included in this book were originally published as a special issue of Interactive Learning Environments.
Author: Tommy van der Vorst
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
In this study we explore the potential impact of educational AI applications in personalized learning. According to Bloom (1984) students that are tutored one-to-one perform two standard deviations better than students who learn via traditional educational methods. Due to the limited amount of teachers and costs associated, personalized one-to-one learning is not generally feasible from a societal point of view. Breakthroughs in the field of machine learning offer promising avenues to aid in personalized learning. AI may hence be the 'holy grail' in unlocking the potential of one-to-one learning, by enabling applications to offer personalized teaching to each individual student. We assess the potential impact of AI in personalized learning from a socio-technical perspective. Therefore, we investigate the technological possibilities, as well as any aspects that may impact adoption, e.g. legal, societal and ethical. To conclude we formulate policy options that can stimulate the adoption of AI-driven personalized learning applications.
Author: Myron L. Ballain
Publisher:
ISBN:
Category :
Languages : en
Pages : 136
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Book Description
Author: Key-aira Jones
Publisher:
ISBN: 9780438312951
Category : Dissertations, Academic
Languages : en
Pages : 66
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Book Description
"The purpose of this 5-week action research study was to determine the impact of Khan Academy in relation to improving academic achievement in math. This study focused on the following research questions: What is the impact of Khan Academy on students' academic achievement? What is the impact of Khan Academy on students' confidence in math? How do students' describe their experiences using Khan Academy in math? Data was collected through student surveys, student assessments, and case study interviews. Khan Academy, an online Common Core math program, was incorporated as a part of the math curriculum. Data revealed that students learn math in varying ways and the use of technology can make the curriculum more accessible. The finding addressed the importance of differentiated teaching methods and student engagement in order to increase students' academic achievement in mathematics."--Abstract, p. 1.
Author: Caitriona Ni She
Publisher:
ISBN:
Category : Mathematical sciences Theses
Languages : en
Pages : 0
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Book Description
