Enhancing Education With Intelligent Systems and Data-Driven Instruction

Enhancing Education With Intelligent Systems and Data-Driven Instruction
Author: Bhatia, Madhulika
Publisher: IGI Global
Total Pages: 357
Release: 2024-03-04
Genre: Education
ISBN:
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In the dynamic environment of education, the traditional methods employed by educators are struggling to keep pace with the evolving needs of students in the 21st century. The challenge lies in fostering an environment that not only engages students but also equips them with the skills essential for the modern world. Teachers find themselves navigating a complex terrain where outdated pedagogical approaches fall short of unlocking the full potential of diverse learning styles and unique talents within their classrooms. Enhancing Education With Intelligent Systems and Data-Driven Instruction is a groundbreaking book that goes beyond the constraints of conventional teaching methods, offering a comprehensive guide that inspires and equips educators with innovative tools and approaches. From integrating innovative technology to cultivating collaborative learning environments, the book provides a roadmap for educators to reimagine their teaching practices. By embracing student-centered approaches, fostering diversity, and utilizing digital tools effectively, this book empowers teachers to transform their classrooms into dynamic hubs of inspiration, motivation, and empowerment.

Enhancing Education With Intelligent Systems and Data-Driven Instruction

Enhancing Education With Intelligent Systems and Data-Driven Instruction
Author: Madhulika Bhatia
Publisher:
Total Pages: 0
Release: 2024-03-04
Genre: Education
ISBN:
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In the dynamic environment of education, the traditional methods employed by educators are struggling to keep pace with the evolving needs of students in the 21st century. The challenge lies in fostering an environment that not only engages students but also equips them with the skills essential for the modern world. Teachers find themselves navigating a complex terrain where outdated pedagogical approaches fall short of unlocking the full potential of diverse learning styles and unique talents within their classrooms. Enhancing Education With Intelligent Systems and Data-Driven Instruction is a groundbreaking book that goes beyond the constraints of conventional teaching methods, offering a comprehensive guide that inspires and equips educators with innovative tools and approaches. From integrating innovative technology to cultivating collaborative learning environments, the book provides a roadmap for educators to reimagine their teaching practices. By embracing student-centered approaches, fostering diversity, and utilizing digital tools effectively, this book empowers teachers to transform their classrooms into dynamic hubs of inspiration, motivation, and empowerment.

Artificial Intelligence in Education

Artificial Intelligence in Education
Author: KHRITISH SWARGIARY
Publisher: Scholar Press
Total Pages: 158
Release: 2023-07-04
Genre: Education
ISBN:
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The book "AI in Education: Transforming Learning for the Future" aims to provide an in-depth exploration of the applications, advantages, challenges, and ethical considerations of integrating artificial intelligence in educational settings. The book focuses on how AI can revolutionize teaching and learning processes, empower educators, and enhance student outcomes while being mindful of potential concerns. Through case studies and best practices, readers will gain insights into successful AI implementation and learn how to navigate the dynamic landscape of AI-driven education. The book emphasizes the importance of ethical AI development, fostering a balanced approach that combines technological advancement with human values for a brighter future in education.

Data-Driven School Improvement

Data-Driven School Improvement
Author: Ellen B. Mandinach
Publisher: Teachers College Press
Total Pages: 296
Release: 2008
Genre: Education
ISBN: 0807775509
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The first comprehensive examination of the field, this book brings together stakeholders representing a variety of perspectives to explore how educators actually use data and technology tools to achieve lasting improvement in student performance. Contributors: David V. Abbott, Carrie Amon, Jonathan Bertfield, Cornelia Brunner, Fred Carrigg, Jere Confrey, Katherine Conoly, Valerie M. Crawford, Chris Dede, John Gasko, Greg Gunn, Juliette Heinze, Naomi Hupert, Sherry P. King, Mary Jane Kurabinski, Daniel Light, Lisa Long, Michael Merrill, Liane Moody, William R. Penuel, Luz M. Rivas, Mark S. Schlager, John Stewart, Sam Stringfield, Ronald Thorpe, Yukie Toyama, Jeffrey C. Wayman, and Viki M. Young. “If you want to understand usable knowledge, read Data-Driven School Improvement.” —Ellen Condliffe Lagemann, Harvard University “It is reassuring to know that at least some of the data being generated in our data-driven age are being used to make wiser decisions. We can all learn from these illustrative accounts.” —David C. Berliner, Mary Lou Fulton College of Education, Arizona State University “Replete with examples from real schools and districts, this volume provides a multi-layered portrait of what it takes to establish a culture of data use. Readers will come away with an appreciation of the systemic changes needed to reap the full potential of data-driven decision making.” —Barbara Means, Center for Technology in Learning, SRI International

Artificial Intelligence in Education

Artificial Intelligence in Education
Author: Vania Dimitrova
Publisher: IOS Press
Total Pages: 852
Release: 2009
Genre: Computers
ISBN: 1607500280
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Artificial Intelligence in Education conference 2009 (AIED) is part of a series of biennial international conferences for top quality research in intelligent systems and cognitive science for educational computing applications. This title covers papers presented at the Artificial Intelligence in Education conference 2009 (AIED).

AI in Education: Revolutionizing Learning and Administration

AI in Education: Revolutionizing Learning and Administration
Author: Dizzy Davidson
Publisher: Pure Water Books
Total Pages: 144
Release: 2024-07-26
Genre: Computers
ISBN:
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Are you struggling to fully understand how AI is transforming education? Do you wonder how AI can personalize learning, streamline grading, and enhance administrative tasks? Look no further! “AI in Education: Revolutionizing Learning and Administration” is your comprehensive guide to understanding and leveraging AI in the educational landscape. This book demystifies AI, offering clear insights and practical applications that will benefit educators, administrators, and students alike. Benefits of Reading This Book: Unlock the Potential of Personalized Learning: Discover how AI can tailor educational experiences to individual student needs, enhancing engagement and outcomes. Streamline Grading Systems: Learn about automated grading tools that save time and ensure fairness. Enhance Administrative Efficiency: Explore AI solutions for managing attendance, scheduling, and communication, freeing up valuable time for educators. Why This Book is Essential: In-Depth Analysis: Gain a thorough understanding of AI’s role in education, supported by real-world case studies and expert insights. Practical Applications: Get actionable strategies for integrating AI into your educational practices. Future-Proof Your Skills: Stay ahead of the curve by learning about emerging AI technologies and trends in education. Viral Bullet Points: Transformative AI Tools: Discover the latest AI tools revolutionizing education. Real-World Success Stories: Learn from successful implementations of AI in schools and universities. Expert Insights: Benefit from the knowledge of leading experts in AI and education. Don’t miss out on the opportunity to revolutionize your approach to education! Get your copy of “AI in Education: Revolutionizing Learning and Administration” today and become knowledgeable about the transformative power of AI in education. Embrace the future of learning and administration with confidence and expertise.

Data Driven Approaches in Digital Education

Data Driven Approaches in Digital Education
Author: Élise Lavoué
Publisher: Springer
Total Pages: 621
Release: 2017-09-06
Genre: Education
ISBN: 9783319666099
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This book constitutes the proceedings of the 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, held in Tallinn, Estonia, in September 2017. The 24 full papers, 23 short papers, 6 demo papers, and 22 poster papers presented in this volume were carefully reviewed and selected from 141 submissions. The theme for the 12th EC-TEL conference on Data Driven Approaches in Digital Education' aims to explore the multidisciplinary approaches thateectively illustrate how data-driven education combined with digital education systems can look like and what are the empirical evidences for the use of datadriven tools in educational practices.

Intelligent Support for Computer Science Education

Intelligent Support for Computer Science Education
Author: Barbara Di Eugenio
Publisher: CRC Press
Total Pages: 306
Release: 2021-09-22
Genre: Computers
ISBN: 1351684868
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Intelligent Support for Computer Science Education presents the authors’ research journey into the effectiveness of human tutoring, with the goal of developing educational technology that can be used to improve introductory Computer Science education at the undergraduate level. Nowadays, Computer Science education is central to the concerns of society, as attested by the penetration of information technology in all aspects of our lives; consequently, in the last few years interest in Computer Science at all levels of schooling, especially at the college level, has been flourishing. However, introductory concepts in Computer Science such as data structures and recursion are difficult for novices to grasp. Key Features: Includes a comprehensive and succinct overview of the Computer Science education landscape at all levels of education. Provides in-depth analysis of one-on-one human tutoring dialogues in introductory Computer Science at college level. Describes a scalable, plug-in based Intelligent Tutoring System architecture, portable to different topics and pedagogical strategies. Presents systematic, controlled evaluation of different versions of the system in ecologically valid settings (18 actual classes and their laboratory sessions). Provides a time-series analysis of student behavior when interacting with the system. This book will be of special interest to the Computer Science education community, specifically instructors of introductory courses at the college level, and Advanced Placement (AP) courses at the high school level. Additionally, all the authors’ work is relevant to the Educational Technology community, especially to those working in Intelligent Tutoring Systems, their interfaces, and Educational Data Mining, in particular as applied to human-human pedagogical interactions and to user interaction with educational software.

The Educational Intelligent Economy

The Educational Intelligent Economy
Author: Tavis D. Jules
Publisher: Emerald Group Publishing
Total Pages: 325
Release: 2019-11-25
Genre: Education
ISBN: 1787548546
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This book examines, from a comparative perspective, the impact of the movement from the so-called knowledge-based economy towards the Intelligent Economy, which is premised upon the application of knowledge. This volume links the advent of this new technological revolution to the world of governance and policy formulation in education.

AI-Enhanced Teaching Methods

AI-Enhanced Teaching Methods
Author: Ahmed, Zeinab E.
Publisher: IGI Global
Total Pages: 426
Release: 2024-04-22
Genre: Education
ISBN:
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The digital age has ushered in an era where students must be equipped not only with traditional knowledge but also with the skills to navigate an increasingly interconnected and technologically driven world. As traditional teaching methods encounter the complexities of the 21st century, the demand for innovation becomes more apparent. This paves the way for the era of artificial intelligence (AI), a technological frontier that carries the potential to reshape education fundamentally. AI-Enhanced Teaching Methods recognizes the urgency of the ongoing technological shift and delves into an exploration of how AI can be effectively harnessed to redefine the learning experience. The book serves as a guide for educators, offering insights into navigating between conventional teaching methodologies and the possibilities presented by AI. It provides an understanding of AI's role in education, covering topics from machine learning to natural language processing. Ethical considerations, including privacy and bias, are thoroughly addressed with thoughtful solutions as well. Additionally, the book provides valuable support for administrators, aiding in the integration of these technologies into existing curricula.