Model-Centered Learning: Pathways to Mathematical Understanding Using GeoGebra is the first book to report on the international use of GeoGebra and its growing impact on mathematics teaching and learning. Supported by new developments in model-centered learning and instruction, the chapters in this book move beyond the traditional views of mathematics and mathematics teaching, providing theoretical perspectives and examples of practice for enhancing students’ mathematical understanding through mathematical and didactical modeling. Designed specifically for teaching mathematics, GeoGebra integrates dynamic multiple representations in a conceptually rich learning environment that supports the exploration, construction, and evaluation of mathematical models and simulations. The open source nature of GeoGebra has led to a growing international community of mathematicians, teacher educators, and classroom teachers who seek to tackle the challenges and complexity of mathematics education through a grassroots initiative using instructional innovations. The chapters cover six themes: 1) the history, philosophy, and theory behind GeoGebra, 2) dynamic models and simulations, 3) problem solving and attitude change, 4) GeoGebra as a cognitive and didactical tool, 5) curricular challenges and initiatives, 6) equity and sustainability in technology use. This book should be of interest to mathematics educators, mathematicians, and graduate students in STEM education and instructional technologies.

Model-Based Approaches to Learning provides a new perspective called learning by system modeling. This book explores the learning impact of students when constructing models of complex systems.

Model-Based Reinforcement Learning Explore a comprehensive and practical approach to reinforcement learning Reinforcement learning is an essential paradigm of machine learning, wherein an intelligent agent performs actions that ensure optimal behavior from devices. While this paradigm of machine learning has gained tremendous success and popularity in recent years, previous scholarship has focused either on theory—optimal control and dynamic programming – or on algorithms—most of which are simulation-based. Model-Based Reinforcement Learning provides a model-based framework to bridge these two aspects, thereby creating a holistic treatment of the topic of model-based online learning control. In doing so, the authors seek to develop a model-based framework for data-driven control that bridges the topics of systems identification from data, model-based reinforcement learning, and optimal control, as well as the applications of each. This new technique for assessing classical results will allow for a more efficient reinforcement learning system. At its heart, this book is focused on providing an end-to-end framework—from design to application—of a more tractable model-based reinforcement learning technique. Model-Based Reinforcement Learning readers will also find: A useful textbook to use in graduate courses on data-driven and learning-based control that emphasizes modeling and control of dynamical systems from data Detailed comparisons of the impact of different techniques, such as basic linear quadratic controller, learning-based model predictive control, model-free reinforcement learning, and structured online learning Applications and case studies on ground vehicles with nonholonomic dynamics and another on quadrator helicopters An online, Python-based toolbox that accompanies the contents covered in the book, as well as the necessary code and data Model-Based Reinforcement Learning is a useful reference for senior undergraduate students, graduate students, research assistants, professors, process control engineers, and roboticists.

This book offers a comprehensive synthesis of over 40 years of research on models in physical education to suggest Models-based Practice (MbP) as an innovative future approach to physical education. It lays out the ideal conditions for MbP to flourish by situating pedagogical models at the core of physical education programs and allowing space for local agency and the co-construction of practice. Starting from the premise that true MbP does not yet exist, the book makes a case for the term "pedagogical model" over alternatives such as curriculum model and instructional model, and explains how learners’ cognitive, social, affective and psychomotor needs should be organised in ways that are distinctive and unique to each model. It examines the core principles underpinning the pedagogical models that make up MbP, including pedagogical models as organising centres for program design and as design specifications for developing local programs. The book also explores how a common structure can be applied to analyse pedagogical models at macro, meso and micro levels of discourse. Having created a language through which to talk about pedagogical models and MbP, the book concludes by identifying the conditions - some existing and some aspirational - under which MbP can prosper in reforming physical education. An essential read for academics, doctoral and post-graduate students, and pre-service and in-service teachers, Models-based Practice in Physical Education is a vital point of reference for anyone who is interested in pedagogical models and wants to embrace this potential future of physical education.

In the last decade there have been rapid developments in the field of computer-based learning environments. A whole new generation of computer-based learning environments has appeared, requiring new approaches to design and development. One main feature of current systems is that they distinguish different knowledge bases that are assumed to be necessary to support learning processes. Current computer-based learning environments often require explicit representations of large bodies of knowledge, including knowledge of instruction. This book focuses on instructional models as explicit, potentially implementable representations of knowledge concerning one or more aspects of instruction. The book has three parts, relating to different aspects of the knowledge that should be made explicit in instructional models: knowledge of instructional planning, knowledge of instructional strategies, and knowledge of instructional control. The book is based on a NATO Advanced Research Workshop held at the University of Twente, The Netherlands in July 1991.

This book aims to develop a situative educational model to guide the design and implementation of powerful student-centered learning environments in higher education classrooms. Rooted in educational science, Hoidn contributes knowledge in the fields of general pedagogy, and more specifically, higher education learning and instruction. The text will support instructors, curriculum developers, faculty developers, administrators, and educational managers from all disciplines in making informed instructional decisions with regard to course design, classroom interaction, and community building and is also of relevance to educators from other formal and informal educational settings aside from higher education.

The movement away from teacher-centered toward student-centered learning and teaching (SCLT) in higher education has intensified in recent decades. Yet in spite of its widespread use in literature and policy documents, SCLT remains somewhat poorly defined, under-researched and often misinterpreted. Against this backdrop, The Routledge International Handbook of Student-Centered Learning and Teaching in Higher Education offers an original, comprehensive and up-to-date overview of the fundamentals of SCLT and its discussion and applications in policy and practice. Bringing together 71 scholars from around the world, the volume offers a most comprehensive and up-to-date overview of the fundamentals of SCLT and its applications in policy and practice; provides beacons of good practice that display how instructional expertise manifests itself in the quality of classroom learning and teaching and in the institutional environment; and critically discusses challenges, new directions and developments in pedagogy, course and study program design, classroom practice, assessment and institutional policy. An essential resource, this book uniquely offers researchers, educators and students in higher education new insights into the roots, latest thinking, practices and evidence surrounding SCLT in higher education.

The pioneering research and theories of Norbert Seel have had a profound impact on educational thought in mathematics. In this special tribute, an international panel of researchers presents the current state of model-based education: its research, methodology, and technology. Fifteen stimulating, sometimes playful chapters link the multiple ways of constructing knowledge to the complex real world of skill development. This synthesis of latest innovations and fresh perspectives on classic constructs makes the book cutting-edge reading for the researchers and educators in mathematics instruction building the next generation of educational models.

This title presents perspectives on the relationship between curriculum research and instructional design, as well as new developments in the use of information and communication technology.

There has been much debate in recent times between the Anglo American tradition of curriculum studies and the Continental and North European tradition of didactics (Didaktik). As important as such debate has been, this book seeks to add new voices to the debate representing ideas and traditions from a different part of the world. The focus is on Chinese curriculum thinking that has passed through a number of stages and currently represents a blend of some aspects of the American tradition and Chinese cultural traditions. How does Chinese thinking about curriculum, teaching and learning resonate with European didactic traditions and what are the implications for theorizing an expanded field of curriculum studies? This book deliberately transcends borders and cultures to explore new territory, to provide a platform for open dialogue and to open up new areas of investigation Chapters include, Curriculum Reform and Research in China: A Social-Historical Perspective What Mathematics Did Teachers Learn? Comparison of the School and the Pre-Service Teacher Mathematics Curricula in Germany and Taiwan Living in Parallel Worlds: A Transatlantic Dialogue between General Didactics and Instructional Design