Model Based Approaches To Learning
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Model Based Approaches To Learning
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Author :
language : en
Publisher: BRILL
Release Date : 2019-02-11
Model Based Approaches To Learning written by and has been published by BRILL this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-11 with Education categories.
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. In this approach students are building their own models and engaging at a much deeper conceptual level of understanding of the content, processes, and problem solving of the domain, which is proven to be successful by research from the area of mindtools. Topics covered include the foundations of knowledge structures and mental model development, modeling for understanding, modeling for assessment, individual versus collaborative modeling, and the use of simulations to support learning and instruction in complex, cognitive domains. The thread tying these chapters together is an emphasis on what the learner is doing when he is engaged in modeling and simulation construction rather than merely interacting with constructed simulations. Model-Based Approaches to Learning is an interesting book for Educators (Instructors, K-12 Teachers), who are looking for forms to use advanced computer technology in classrooms. Also Teachers’ educators who are working on the integration of technology into their teacher preparation classrooms can find new concepts and best-practice examples in this book. This also holds true for all Educators and Researchers who are interested in modeling as an activity to successfully work with ill-structured and complex problems.
Learning Through Practice
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Author : Stephen Billett
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-06-02
Learning Through Practice written by Stephen Billett and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-02 with Education categories.
Practice-based learning—the kind of education that comes from experiencing real work in real situations—has always been a prerequisite to qualification in professions such as medicine. However, there is growing interest in how practice-based models of learning can assist the initial preparation for and further development of skills for a wider range of occupations. Rather than being seen as a tool of first-time training, it is now viewed as a potentially important facet of professional development and life-long learning. This book provides perspectives on practice-based learning from a range of disciplines and fields of work. The collection here draws on a wide spectrum of perspectives to illustrate as well as to critically appraise approaches to practice-based learning. The book’s two sections first explore the conceptual foundations of learning through practice, and then provide detailed examples of its implementation. Long-standing practice-based approaches to learning have been used in many professions and trades. Indeed, admission to the trades and major professions (e.g. medicine, law, accountancy) can only be realised after completing extended periods of practice in authentic practice settings. However, the growing contemporary interest in using practice-based learning in more extensive contexts has arisen from concerns about the direct employability of graduates and the increasing focus on occupation-specific courses in both vocations and higher education. It is an especially urgent issue in an era of critical skill shortages, rapidly transforming work requirements and an aging workforce combined with a looming shortage of new workforce entrants. We must better understand how existing models of practice-based learning are enacted in order to identify how they can be applied to different kinds of employment and workplaces. The contributions to this volume explore ways in which learning through practice can be conceptualised, enacted, and appraised through an analysis of the traditions, purposes, and processes that support this learning—including curriculum models and pedagogic practices.
Designing Robot Behavior In Human Robot Interactions
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Author : Changliu Liu
language : en
Publisher: CRC Press
Release Date : 2019-09-12
Designing Robot Behavior In Human Robot Interactions written by Changliu Liu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-12 with Computers categories.
In this book, we have set up a unified analytical framework for various human-robot systems, which involve peer-peer interactions (either space-sharing or time-sharing) or hierarchical interactions. A methodology in designing the robot behavior through control, planning, decision and learning is proposed. In particular, the following topics are discussed in-depth: safety during human-robot interactions, efficiency in real-time robot motion planning, imitation of human behaviors from demonstration, dexterity of robots to adapt to different environments and tasks, cooperation among robots and humans with conflict resolution. These methods are applied in various scenarios, such as human-robot collaborative assembly, robot skill learning from human demonstration, interaction between autonomous and human-driven vehicles, etc. Key Features: Proposes a unified framework to model and analyze human-robot interactions under different modes of interactions. Systematically discusses the control, decision and learning algorithms to enable robots to interact safely with humans in a variety of applications. Presents numerous experimental studies with both industrial collaborative robot arms and autonomous vehicles.
Dynamic Neural Networks For Robot Systems Data Driven And Model Based Applications
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Author : Long Jin
language : en
Publisher: Frontiers Media SA
Release Date : 2024-07-24
Dynamic Neural Networks For Robot Systems Data Driven And Model Based Applications written by Long Jin and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-24 with Science categories.
Neural network control has been a research hotspot in academic fields due to the strong ability of computation. One of its wildly applied fields is robotics. In recent years, plenty of researchers have devised different types of dynamic neural network (DNN) to address complex control issues in robotics fields in reality. Redundant manipulators are no doubt indispensable devices in industrial production. There are various works on the redundancy resolution of redundant manipulators in performing a given task with the manipulator model information known. However, it becomes knotty for researchers to precisely control redundant manipulators with unknown model to complete a cyclic-motion generation CMG task, to some extent. It is worthwhile to investigate the data-driven scheme and the corresponding novel dynamic neural network (DNN), which exploits learning and control simultaneously. Therefore, it is of great significance to further research the special control features and solve challenging issues to improve control performance from several perspectives, such as accuracy, robustness, and solving speed.
Adaptive Radar Detection Model Based Data Driven And Hybrid Approaches
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Author : Angelo Coluccia
language : en
Publisher: Artech House
Release Date : 2022-11-30
Adaptive Radar Detection Model Based Data Driven And Hybrid Approaches written by Angelo Coluccia and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-30 with Technology & Engineering categories.
This book shows you how to adopt data-driven techniques for the problem of radar detection, both per se and in combination with model-based approaches. In particular, the focus is on space-time adaptive target detection against a background of interference consisting of clutter, possible jammers, and noise. It is a handy, concise reference for many classic (model-based) adaptive radar detection schemes as well as the most popular machine learning techniques (including deep neural networks) and helps you identify suitable data-driven approaches for radar detection and the main related issues. You’ll learn how data-driven tools relate to, and can be coupled or hybridized with, traditional adaptive detection statistics; understand fundamental concepts, schemes, and algorithms from statistical learning, classification, and neural networks domains. The book also walks you through how these concepts and schemes have been adapted for the problem of radar detection in the literature and provides you with a methodological guide for the design, illustrating different possible strategies. You’ll be equipped to develop a unified view, under which you can exploit the new possibilities of the data-driven approach even using simulated data. This book is an excellent resource for Radar professionals and industrial researchers, postgraduate students in electrical engineering and the academic community.
Models Based Practice In Physical Education
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Author : Ashley Casey
language : en
Publisher: Routledge
Release Date : 2020-12-14
Models Based Practice In Physical Education written by Ashley Casey and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-14 with Education categories.
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.
Conceptual Model Based Problem Solving
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Author : Yan Ping Xin
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-02-11
Conceptual Model Based Problem Solving written by Yan Ping Xin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-11 with Education categories.
Are you having trouble in finding Tier II intervention materials for elementary students who are struggling in math? Are you hungry for effective instructional strategies that will address students’ conceptual gap in additive and multiplicative math problem solving? Are you searching for a powerful and generalizable problem solving approach that will help those who are left behind in meeting the Common Core State Standards for Mathematics (CCSSM)? If so, this book is the answer for you. • The conceptual model-based problem solving (COMPS) program emphasizes mathematical modeling and algebraic representation of mathematical relations in equations, which are in line with the new Common Core. • “Through building most fundamental concepts pertinent to additive and multiplicative reasoning and making the connection between concrete and abstract modeling, students were prepared to go above and beyond concrete level of operation and be able to use mathematical models to solve more complex real-world problems. As the connection is made between the concrete model (or students’ existing knowledge scheme) and the symbolic mathematical algorithm, the abstract mathematical models are no longer “alien” to the students.” As Ms. Karen Combs, Director of Elementary Education of Lafayette School Corporation in Indiana, testified: “It really worked with our kids!” • “One hallmark of mathematical understanding is the ability to justify,... why a particular mathematical statement is true or where a mathematical rule comes from” (http://illustrativemathematics.org/standards). Through making connections between mathematical ideas, the COMPS program makes explicit the reasoning behind math, which has the potential to promote a powerful transfer of knowledge by applying the learned conception to solve other problems in new contexts. • Dr. Yan Ping Xin’s book contains essential tools for teachers to help students with learning disabilities or difficulties close the gap in mathematics word problem solving. I have witnessed many struggling students use these strategies to solve word problems and gain confidence as learners of mathematics. This book is a valuable resource for general and special education teachers of mathematics. - Casey Hord, PhD, University of Cincinnati
Human Like Decision Making And Control For Autonomous Driving
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Author : Peng Hang
language : en
Publisher: CRC Press
Release Date : 2022-07-25
Human Like Decision Making And Control For Autonomous Driving written by Peng Hang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-25 with Mathematics categories.
This book details cutting-edge research into human-like driving technology, utilising game theory to better suit a human and machine hybrid driving environment. Covering feature identification and modelling of human driving behaviours, the book explains how to design an algorithm for decision making and control of autonomous vehicles in complex scenarios. Beginning with a review of current research in the field, the book uses this as a springboard from which to present a new theory of human-like driving framework for autonomous vehicles. Chapters cover system models of decision making and control, driving safety, riding comfort and travel efficiency. Throughout the book, game theory is applied to human-like decision making, enabling the autonomous vehicle and the human driver interaction to be modelled using noncooperative game theory approach. It also uses game theory to model collaborative decision making between connected autonomous vehicles. This framework enables human-like decision making and control of autonomous vehicles, which leads to safer and more efficient driving in complicated traffic scenarios. The book will be of interest to students and professionals alike, in the field of automotive engineering, computer engineering and control engineering.
Model Based Learning And Instruction In Science
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Author : John Clement
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-07
Model Based Learning And Instruction In Science written by John Clement and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-07 with Education categories.
Anyone involved in science education will find that this text can enhance their pedagogical practice. It describes new, model-based teaching methods that integrate social and cognitive perspectives for science instruction. It presents research that describes how these new methods are applied in a diverse group of settings, including middle school biology, high school physics, and college chemistry classrooms. They offer practical tips for teaching the toughest of key concepts.
Routledge Handbook Of Physical Education Pedagogies
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Author : Catherine D. Ennis
language : en
Publisher: Routledge
Release Date : 2016-08-05
Routledge Handbook Of Physical Education Pedagogies written by Catherine D. Ennis and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-05 with Education categories.
The first fully comprehensive review of theory, research and practice in physical education to be published in over a decade, this handbook represents an essential, evidence-based guide for all students, researchers and practitioners working in PE. Showcasing the latest research and theoretical work, it offers important insights into effective curriculum management, student learning, teaching and teacher development across a variety of learning environments. This handbook not only examines the methods, influences and contexts of physical education in schools, but also discusses the implications for professional practice. It includes both the traditional and the transformative, spanning physical education pedagogies from the local to the international. It also explores key questions and analysis techniques used in PE research, illuminating the links between theory and practice. Its nine sections cover a wide range of topics including: curriculum theory, development, policy and reform transformative pedagogies and adapted physical activity educating teachers and analysing teaching the role of student and teacher cognition achievement motivation. Offering an unprecedented wealth of material, the Routledge Handbook of Physical Education Pedagogies is an essential reference for any undergraduate or postgraduate degree programme in physical education or sports coaching, and any teacher training course with a physical education element.