Students who self-regulate are more likely to improve their academic performance, find value in their learning process, and continue to be effective lifelong learners. However, online students often struggle to self-regulate, which may contribute to lower academic performance. Likewise, less experienced online teachers who are in the process of implementing-or have implemented-a shift from in-person to distance learning may struggle to enable their students to employ effective self-regulation techniques. Supporting Self-Regulated Learning and Student Success in Online Courses examines current theoretical frameworks, research projects, and empirical studies related to the design, implementation, and evaluation of self-regulated learning models and interventions in online courses and discusses their implications. Covering key topics such as online course design, student retention, and learning support, this reference work is ideal for administrators, policymakers, researchers, academicians, practitioners, scholars, instructors, and students.

This book constitutes the proceedings of the 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, held in Delft, The Netherlands, in September 2019. The 41 research papers and 50 demo and poster papers presented in this volume were carefully reviewed and selected from 149 submissions. The contributions reflect the debate around the role of and challenges for cutting-edge 21st century meaningful technologies and advances such as artificial intelligence and robots, augmented reality and ubiquitous computing technologies and at the same time connecting them to different pedagogical approaches, types of learning settings, and application domains that can benefit from such technologies.

What can you do for students who struggle to set goals, can't seem to follow rules, and frequently go off task? This concise publication explains how teachers in every content area and at every grade level can teach students to be self-regulated learners. Discover instructional strategies that help students learn to Approach challenges with confidence. Plan their learning tactics and maintain focus. Monitor their progress and seek help when they need it. Work well with peers and adjust their approach. Learn how to put all students on the path to positive, empowered learning and greater academic success.

Online learning has increasingly been viewed as a possible way to remove barriers associated with traditional face-to-face teaching, such as overcrowded classrooms and shortage of certified teachers. While online learning has been recognized as a possible approach to deliver more desirable learning outcomes, close to half of online students drop out as a result of student-related, course-related, and out-of-school-related factors (e.g., poor self-regulation; ineffective teacher-student, student-student, and platform-student interactions; low household income). Many educators have expressed concern over students who unexpectedly begin to struggle and appear to fall off track without apparent reason. A well-implemented early warning system, therefore, can help educators identify students at risk of dropping out and assign and monitor interventions to keep them on track for graduation. Despite the popularity of early warning systems, research on their design and implementation is sparse. Early Warning Systems and Targeted Interventions for Student Success in Online Courses is a cutting-edge research publication that examines current theoretical frameworks, research projects, and empirical studies related to the design, implementation, and evaluation of early warning systems and targeted interventions and discusses their implications for policy and practice. Moreover, this book will review common challenges of early warning systems and dashboard design and will explore design principles and data visualization tools to make data more understandable and, therefore, more actionable. Highlighting a range of topics such as curriculum design, game-based learning, and learning support, it is ideal for academicians, policymakers, administrators, researchers, education professionals, instructional designers, data analysts, and students.

This volume brings together internationally known researchers representing different theoretical perspectives on students' self-regulation of learning. Diverse theories on how students become self-regulated learners are compared in terms of their conceptual origins, scientific form, research productivity, and pedagogical effectiveness. This is the only comprehensive comparison of diverse classical theories of self-regulated learning in print. The first edition of this text, published in 1989, presented descriptions of such differing perspectives as operant, phenomenological, social learning, volitional, Vygotskian, and constructivist theories. In this new edition, the same prominent editors and authors reassess these classic models in light of a decade of very productive research. In addition, an information processing perspective is included, reflecting its growing prominence. Self-regulation models have proven especially appealing to teachers, coaches, and tutors looking for specific recommendations regarding how students activate, alter, and sustain their learning practices. Techniques for enhancing these processes have been studied with considerable success in tutoring sessions, computer learning programs, coaching sessions, and self-directed practice sessions. The results of these applications are discussed in this new edition. The introductory chapter presents a historical overview of research and a theoretical framework for comparing and contrasting the theories described in the following chapters, all of which follow a common organizational format. This parallel format enables the book to function like an authored textbook rather than a typical edited volume. The final chapter offers an historical assessment of changes in theory and trends for future research. This volume is especially relevant for students and professionals in educational psychology, school psychology, guidance and counseling, developmental psychology, child and family development, as well as for students in general teacher education.

Students who self-regulate are more likely to improve their academic performance, find value in their learning process, and continue to be effective lifelong learners. However, online students often struggle to self-regulate, which may contribute to lower academic performance. Likewise, less experienced online teachers who are in the process of implementing—or have implemented—a shift from in-person to distance learning may struggle to enable their students to employ effective self-regulation techniques. Supporting Self-Regulated Learning and Student Success in Online Courses examines current theoretical frameworks, research projects, and empirical studies related to the design, implementation, and evaluation of self-regulated learning models and interventions in online courses and discusses their implications. Covering key topics such as online course design, student retention, and learning support, this reference work is ideal for administrators, policymakers, researchers, academicians, practitioners, scholars, instructors, and students.

This book constitutes the proceedings of the 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, held in Leeds, UK, in September 2018. The 42 full and short papers, 7 demo papers, and 23 poster papers presented in this volume were carefully reviewed and selected from 142 submissions. This year, the European Conference on Technology-Enhanced Learning (EC-TEL) will engage researchers, practitioners, educational developers, entrepreneurs and policy makers in a joint discussion on how to put science, technology and practice at the service of learning to embrace these challenges on the topic: Lifelong technology enhanced learning: Dealing with the complexity of 21st century challenges. /div Chapter "" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.