Designing Adaptive and Personalized Learning Environments provides a theoretically-based yet practical guide to systematic design processes for learning environments that provide automatic customization of learning and instruction. The book consists of four main sections: In "Introduction and Overview," the concepts of adaptivity and personalization are introduced and explored in detail. In "Theoretical Perspectives with Example Applications," various theoretical concepts underlying adaptive and personalized learning are discussed, including cognitive profiling, content-based adaptivity, exploration-based adaptivity, and mobile and ubiquitous settings. In "Practical Perspectives with Example Applications," the implementation process for adaptive and personalized learning environments is described, followed by application in various contexts. In "Validation and Future Trends," various evaluation techniques for validating the efficiency and efficacy of adaptive and personalized learning systems are discussed. This final section concludes with a discussion of emerging trends in adaptive and personalized learning research. Based on cutting-edge research, Designing Adaptive and Personalized Learning Environments is appropriate as a primary textbook for both undergraduate and graduate courses focused on the design of learning systems, and as a secondary textbook for a variety of courses in programs such as educational technology, instructional design, learning sciences, digital literacy, computer based systems, and STEM content fields.

Designing Adaptive and Personalized Learning Environments provides a theoretically-based yet practical guide to systematic design processes for learning environments that provide automatic customization of learning and instruction. The book consists of four main sections: In "Introduction and Overview," the concepts of adaptivity and personalization are introduced and explored in detail. In "Theoretical Perspectives with Example Applications," various theoretical concepts underlying adaptive and personalized learning are discussed, including cognitive profiling, content-based adaptivity, exploration-based adaptivity, and mobile and ubiquitous settings. In "Practical Perspectives with Example Applications," the implementation process for adaptive and personalized learning environments is described, followed by application in various contexts. In "Validation and Future Trends," various evaluation techniques for validating the efficiency and efficacy of adaptive and personalized learning systems are discussed. This final section concludes with a discussion of emerging trends in adaptive and personalized learning research. Based on cutting-edge research, Designing Adaptive and Personalized Learning Environments is appropriate as a primary textbook for both undergraduate and graduate courses focused on the design of learning systems, and as a secondary textbook for a variety of courses in programs such as educational technology, instructional design, learning sciences, digital literacy, computer based systems, and STEM content fields.

A tremendous amount of money is being steered toward personalized learning (PL) initiatives at the federal, state, and local levels, and it is important to understand the return on the investment in students? futures. It is only through rigorous discussions that educators and policymakers will be able to determine if PL is a passing fad or if it possesses the staying power necessary to show a positive impact on student achievement. Evaluation of Principles and Best Practices in Personalized Learning is a critical scholarly publication that explores the modern push for schools to implement PL environments and the continuing research to understand the best strategies and implementation methods for personalizing education. It seeks to begin creating a standardized language and standardized approach to the PL initiative and to investigate the implications it has on the educational system. Additionally, this book adds to the professional discussion of PL by looking at both the advantages and disadvantages of PL, the teacher?s role in PL, creating a PL program to scale, the role of technology and PL, the special education population and PL, emerging research on PL, and case studies involving PL. Featuring research on a wide range of topics such as blended learning, preservice teachers, and special education, this book is ideal for teachers, administrators, academicians, policymakers, researchers, and students.

Will technology replace the school and university? Will technology replace the teacher? What do we really know about technology and learning? Does technology make education more individualized? What does the future hold for technology and education? What can be learnt from the history of technology use in education? In a thoroughly revised edition of this successful book, Neil Selwyn takes a critical look at some of the major current debates and controversies concerning digital technologies and education. Focusing on the social as well as the technical aspects of these issues, Selwyn addresses fundamental but often unvoiced questions about education and technology. Over the course of eight chapters, the book gives careful thought to the people, practices, processes and structures behind the rapidly increasing use of technologies in education, with an emphasis on the implications of digital technologies for individuals and institutions. The book focuses attention on the connections between recent technology developments and broader changes in education practice, education policy and education theory over the past 10 years. It also challenges us to reflect on future directions and controversies for education in the (post)digital age. Expanded study questions, annotated further reading and a new glossary of key terms are included to support readers. An updated companion website links to two bonus chapters and audio recordings of the questions for further discussion found at the end of each chapter.

This book constitutes the proceedings of the 14th International Conference on Intelligent Tutoring Systems, IST 2018, held in Montreal, Canada, in June 2018. The 26 full papers and 22 short papers presented in this volume were carefully reviewed and selected from 120 submissions. In the back matter of the volume 20 poster papers and 6 doctoral consortium papers are included. They deal with the use of advanced computer technologies and interdisciplinary research for enabling, supporting and enhancing human learning.

Educational Technology Program and Project Evaluation is a unique, comprehensive guide to the formative and summative evaluation of programs, projects, products, practices and policies involving educational technology. Written for both beginning and experienced evaluators, the book utilizes an integrative, systems-based approach; its practical emphasis on logic models and theories of change will help readers navigate their own evaluation processes to improve interventions and conduct meaningful educational research. Key features include: evidence-based guidelines for constructing and conducting evaluations practical exercises to support the development of knowledge, skills, and program evaluation portfolios a variety of interdisciplinary case studies references and links to pertinent research and resources Using the TELL, ASK, SHOW, DO model first introduced in this series, Educational Technology Program and Project Evaluation provides comprehensive coverage of the concepts, goals, design, implementation, and critical questions imperative to successful technology-enhanced evaluation.

Improving learning and teaching at schools or universities may start with choosing evidence-based interventions and practices, but does not end there. To ensure sustainable changes to programs in educational practice, interventions need to address complex issues related to theories, research designs, and measurements. This book presents typical but often overlooked problems in intervention research in educational practice. These problems are embedded in various educational areas such as, amongst others, school effectiveness, instructional design or motivational aspects of teacher trainings.

This book highlights the importance of design in computer-supported collaborative learning (CSCL) by proposing data-driven design and assessment. It addresses data-driven design, which focuses on the processing of data and on improving design quality based on analysis results, in three main sections. The first section explains how to design collaborative learning activities based on data-driven design approaches, while the second shares illustrative examples of computer-supported collaborative learning activities. In turn, the third and last section demonstrates how to evaluate design quality and the fidelity of enactment based on design-centered research. The book features several examples of innovative data-driven design approaches to optimizing collaborative learning activities; highlights innovative CSCL activities in authentic learning environments; demonstrates how learning analytics can be used to optimize CSCL design; and discusses the design-centered research approach to evaluating the alignment between design and enactment in CSCL. Given its scope, it will be of interest to a broad readership including researchers, educators, practitioners, and students in the field of collaborative learning, as well as the rapidly growing community of people who are interested in optimizing learning performance with CSCL.

This two-volume set LNCS 12792 and 12793 constitutes the refereed proceedings of the Third International Conference on Adaptive Instructional Systems, AIS 2021, held as Part of the 23rd International Conference, HCI International 2021, which took place in July 2021. Due to COVID-19 pandemic the conference was held virtually. The total of 1276 papers and 241 poster papers included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222 submissions. The regular papers of AIS 2021, Part I, are organized in topical sections named: Conceptual Models and Instructional Approaches for AIS; Designing and Developing AIS; Evaluation of AIS; Adaptation Strategies and Methods in AIS.

When facilitating high-quality education, using digital technology to personalize students' learning is a focus in the development of instruction. There is a need to unify the multifaceted directions in personalized learning by presenting a coherent and organized vision in the design of personalized learning using digital technology. Digital Technologies and Instructional Design for Personalized Learning is a critical scholarly resource that highlights the theories, principles, and learning strategies in personalized learning with digital technology. Featuring coverage on a broad range of topics, such as collaborative learning, instructional design, and computer-supported collaborative learning, this book is geared towards educators, professionals, school administrators, academicians, researchers, and students seeking current research on the area of personalized learning with digital technology.

This book focuses on the design and architecture of ubiquitous learning environments, associated technologies, various learning scenarios supported by these environments, and different contexts that arise in environments where the seamless immersion of formal and informal activities and interactions has the potential to contribute to the learning process. With particular focus on adaptivity for individual learners, the book explores the diminishing boundaries of formal and informal learning, and the potential of location-aware context-sensitive approaches that are emerging as successors to the Web 2.0 paradigm.

"This book addresses intelligent tutoring system (ITS) environments from the standpoint of information and communication technology (ICT) and the recent accomplishments within both the e-learning paradigm and e-learning systems"--Provided by publisher.