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Call for Chapters: Personalized Learning Through Adaptive Systems and Intelligent Tutoring

Editors

Assia BENABID, University Hassan II, Morocco
Imane El Imadi, Hassan II University, Morocco
Ghizlane Chemsi, Hassan II University, Morocco

Call for Chapters

Proposals Submission Deadline: December 8, 2024
Full Chapters Due: February 9, 2025
Submission Date: February 9, 2025

Introduction

In today’s rapidly changing educational landscape, the demand for personalized learning experiences has never been greater. Traditional teaching methods often overlook the diverse needs of individual learners, making it essential to explore innovative solutions that adapt to each student’s unique profile. This book delves into the world of adaptive systems and intelligent tutoring, technologies designed to personalize education through data-driven insights and real-time feedback. Adaptive learning systems continuously assess student progress, tailoring content and pacing to enhance engagement and achievement. Intelligent tutoring systems further elevate this experience by mimicking the guidance of a human tutor, providing customized support that meets learners where they are. Through a combination of theoretical insights, practical applications, and case studies, this book examines how these technologies can transform education into a more inclusive and effective experience. We will also address important challenges such as data privacy and accessibility, ensuring that the benefits of personalized learning are available to all. By equipping educators and policymakers with the tools and knowledge to implement these systems, we aim to foster a future where personalized learning becomes a reality, inspiring a lifelong love of learning in every student.

Objective

This book aims to explore adaptive systems and intelligent tutoring within personalized learning, enhancing understanding of their principles and applications. By showcasing best practices and successful implementations, we provide actionable insights for educators and policymakers. Additionally, we address challenges such as data privacy and accessibility to promote responsible practices in education. Through identifying gaps in current research and highlighting emerging trends, the book seeks to advance the field and stimulate further inquiry. Ultimately, our goal is to inspire a culture of lifelong learning by demonstrating how these technologies can create more engaging and effective educational experiences for all learners.

Target Audience

This book is aimed at a diverse audience, including educators, researchers, policymakers, and instructional designers. Educators will find insights on integrating adaptive systems and intelligent tutoring into their teaching practices to create personalized learning experiences. Researchers will gain theoretical frameworks and empirical evidence to advance the study of adaptive learning technologies. Policymakers will benefit from evidence-based recommendations for implementing these technologies to improve educational equity. Additionally, instructional designers will receive practical guidance on developing curricula that effectively utilize adaptive and intelligent tutoring systems. By addressing the needs of these key groups, the book aims to foster collaboration and innovation in personalized learning.

Recommended Topics

Recommended Topics Include, but Are Not Limited To: Theoretical foundations of adaptive learning and intelligent tutoring systems Design and development of adaptive learning technologies Data analytics and learner profiling in personalized education Case studies of successful implementations of intelligent tutoring systems Strategies for integrating adaptive systems into traditional classroom settings The role of artificial intelligence in personalized learning Ethical considerations and challenges in using adaptive learning technologies Assessment and evaluation methods for adaptive systems Enhancing learner engagement and motivation through personalized approaches The impact of adaptive learning on diverse learner populations Future trends in adaptive learning and intelligent tutoring Professional development for educators in adaptive learning environments Collaborations between educational institutions and technology developers Accessibility and inclusivity in adaptive learning technologies Measuring learning outcomes and effectiveness of personalized learning experiences.

Submission Procedure

Researchers and practitioners are invited to submit on or before December 8, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by December 22, 2024 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by February 9, 2025, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Personalized Learning Through Adaptive Systems and Intelligent Tutoring. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.



Important Dates

December 8, 2024: Proposal Submission Deadline
December 22, 2024: Notification of Acceptance
February 9, 2025: Full Chapter Submission
March 16, 2025: Review Results Returned
April 13, 2025: Final Acceptance Notification
April 20, 2025: Final Chapter Submission



Inquiries

Assia BENABID
University Hassan II
benabidassia09@gmail.com

Imane El Imadi
University Hassan II
imaneel678@gmail.com

Ghizlane Chemsi
University Hassan II
g.chemsi@gmail.com



Classifications


Computer Science and Information Technology; Education
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