Goal driven Learning

Goal driven Learning
Author: Ashwin Ram,David B. Leake
Publsiher: MIT Press
Total Pages: 548
Release: 1995
Genre: Computers
ISBN: 0262181657

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Brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework that describes the goal-driven learning process. In cognitive science, artificial intelligence, psychology, and education, a growing body of research supports the view that the learning process is strongly influenced by the learner's goals. The fundamental tenet of goal-driven learning is that learning is largely an active and strategic process in which the learner, human or machine, attempts to identify and satisfy its information needs in the context of its tasks and goals, its prior knowledge, its capabilities, and environmental opportunities for learning. This book brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework that describes the goal-driven learning process. It collects and solidifies existing results on this important issue in machine and human learning and presents a theoretical framework for future investigations. The book opens with an an overview of goal-driven learning research and computational and cognitive models of the goal-driven learning process. This introduction is followed by a collection of fourteen recent research articles addressing fundamental issues of the field, including psychological and functional arguments for modeling learning as a deliberative, planful process; experimental evaluation of the benefits of utility-based analysis to guide decisions about what to learn; case studies of computational models in which learning is driven by reasoning about learning goals; psychological evidence for human goal-driven learning; and the ramifications of goal-driven learning in educational contexts. The second part of the book presents six position papers reflecting ongoing research and current issues in goal-driven learning. Issues discussed include methods for pursuing psychological studies of goal-driven learning, frameworks for the design of active and multistrategy learning systems, and methods for selecting and balancing the goals that drive learning. A Bradford Book

Analytical Goal driven Learning of Procedural Knowledge by Observation

Analytical Goal driven Learning of Procedural Knowledge by Observation
Author: Negin Nejati
Publsiher: Stanford University
Total Pages: 181
Release: 2011
Genre: Electronic Book
ISBN: STANFORD:qb242rk0531

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Knowledge-based approaches to planning and control offer benefits over classical techniques in applications that involve large yet structured state spaces. However, knowledge bases are time consuming and costly to construct. In this dissertation I introduce a framework for analytical learning that enables the agent to acquire generalizable, domain-specific procedural knowledge in the form of goal-indexed hierarchical task networks by observing a small number of successful demonstrations of goal-driven tasks. I discuss how, in contrast with most algorithms for learning by observation, my approach can learn from unannotated input demonstrations by automatically inferring the purpose of each solution step using the background knowledge about the domain. I discuss the role of hierarchical structure, distributed applicability conditions, and goals in the generalizability of the acquired knowledge. I also introduce an approach for adaptively determining the structure of the acquired knowledge that strikes a balance between generality and operationality, and for making the algorithm robust to changes in the structure of background knowledge. This involves resolving interdependencies among goals using temporal information. I present experimental studies on a number of domains which demonstrate that the quality of acquired knowledge is comparable to handcrafted content in terms of both coverage and complexity. In closing, I review related work and directions for future research.

Goal Driven Lesson Planning for Teaching English to Speakers of Other Languages

Goal Driven Lesson Planning for Teaching English to Speakers of Other Languages
Author: Marnie Reed,Christina Michaud
Publsiher: University of Michigan Press ELT
Total Pages: 145
Release: 2010-07-29
Genre: Education
ISBN: 9780472034185

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This book is more than a collection of activities or ready-made lesson plans to add to a teaching repertoire. Instead, Goal-Driven Lesson Planning is intended to empower teachers and help them create a principled framework for their teaching—a framework that will shape the varied activities of the ESL classroom into a coherent teaching and learning partnership. After reading this book, teachers and prospective teachers will be able to articulate their individual teaching philosophies. Goal-Driven Lesson Planning shows readers how to take any piece from English language materials—an assigned text, a random newspaper article, an ESL activity from a website, etc.—and use it to teach students something about language. Readers are walked through the process of reflecting on their role in diagnosing what that “something” is—what students really need—and planning how to get them there and how to know when they got there in a goal-driven principled manner. This book has chapters on the theory of setting specific language goals for students; how to analyze learner needs (including an initial diagnostic and needs-analysis); templates to use when planning goal-driven English language lessons; explicit instruction on giving corrective feedback; how to recognize and assess student progress; and the mechanics and logistics that facilitate the goal-driven language classroom.

Step Into Student Goal Setting

Step Into Student Goal Setting
Author: Chase Nordengren
Publsiher: Corwin Press
Total Pages: 138
Release: 2021-12-21
Genre: Education
ISBN: 9781071867082

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Using Goals to Amplify Student Learning Step Into Student Goal Setting provides an action plan for answering the question: What does this student know and how do I build from it? Research-driven and practical, this guide shows teachers how to integrate formative assessment, student metacognition, and motivational strategies to make goal setting an integral instructional strategy. Author Chase Nordengren weaves research and case studies with practical strategies to demonstrate how goal setting, with clear learning intentions and plenty of scaffolded support by teachers, can lead to high learning growth and student agency. Readers will find: Actionable strategies for incorporating goal setting in instructional practice Tips for using goals as motivational strategies to drive learning growth Guidance on how to coach students through setting their own goals – recalibrating and celebrating along the way Vignettes and examples to demonstrate what goal setting looks like in the classroom By demonstrating how to set, monitor, and evaluate goals, this guide equips teachers with the tools they need to help students take ownership of their learning journeys.

How We Think

How We Think
Author: Alan H. Schoenfeld
Publsiher: Routledge
Total Pages: 264
Release: 2010-10-18
Genre: Education
ISBN: 9781136909788

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Teachers try to help their students learn. But why do they make the particular teaching choices they do? What resources do they draw upon? What accounts for the success or failure of their efforts? In How We Think, esteemed scholar and mathematician, Alan H. Schoenfeld, proposes a groundbreaking theory and model for how we think and act in the classroom and beyond. Based on thirty years of research on problem solving and teaching, Schoenfeld provides compelling evidence for a concrete approach that describes how teachers, and individuals more generally, navigate their way through in-the-moment decision-making in well-practiced domains. Applying his theoretical model to detailed representations and analyses of teachers at work as well as of professionals outside education, Schoenfeld argues that understanding and recognizing the goal-oriented patterns of our day to day decisions can help identify what makes effective or ineffective behavior in the classroom and beyond.

Advances in Web Based Learning ICWL 2013

Advances in Web Based Learning    ICWL 2013
Author: Jhing-Fa Wang,Rynson Lau
Publsiher: Springer
Total Pages: 352
Release: 2013-09-08
Genre: Education
ISBN: 9783642411755

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This book constitutes the refereed proceedings of the 12th International Conference on Web-Based Learning, ICWL 2013, held in Kenting, Taiwan, in October 2013. The 34 revised full papers presented were carefully reviewed and selected from about 117 submissions. The papers are organized in topical sections on interactive learning environments, design, model and framework of e-learning systems, personalized and adaptive learning, Web 2.0 and social learning environments, intelligent tools for visual learning, semantic Web and ontologies for e-learning, and Web-based learning for languages learning.

How Learning Works

How Learning Works
Author: Susan A. Ambrose,Michael W. Bridges,Michele DiPietro,Marsha C. Lovett,Marie K. Norman
Publsiher: John Wiley & Sons
Total Pages: 336
Release: 2010-04-16
Genre: Education
ISBN: 0470617608

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Praise for How Learning Works "How Learning Works is the perfect title for this excellent book. Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning." —Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching "This book is a must-read for every instructor, new or experienced. Although I have been teaching for almost thirty years, as I read this book I found myself resonating with many of its ideas, and I discovered new ways of thinking about teaching." —Eugenia T. Paulus, professor of chemistry, North Hennepin Community College, and 2008 U.S. Community Colleges Professor of the Year from The Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education "Thank you Carnegie Mellon for making accessible what has previously been inaccessible to those of us who are not learning scientists. Your focus on the essence of learning combined with concrete examples of the daily challenges of teaching and clear tactical strategies for faculty to consider is a welcome work. I will recommend this book to all my colleagues." —Catherine M. Casserly, senior partner, The Carnegie Foundation for the Advancement of Teaching "As you read about each of the seven basic learning principles in this book, you will find advice that is grounded in learning theory, based on research evidence, relevant to college teaching, and easy to understand. The authors have extensive knowledge and experience in applying the science of learning to college teaching, and they graciously share it with you in this organized and readable book." —From the Foreword by Richard E. Mayer, professor of psychology, University of California, Santa Barbara; coauthor, e-Learning and the Science of Instruction; and author, Multimedia Learning

Fundamentals of Artificial Intelligence Research

Fundamentals of Artificial Intelligence Research
Author: Jozef Kelemen
Publsiher: Springer Science & Business Media
Total Pages: 276
Release: 1991-08-28
Genre: Computers
ISBN: 3540545077

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This volume contains 6 invited lectures and 13 submitted contributions to the scientific programme of the international workshop Fundamentals of Artificial Intelligence Research, FAIR '91, held at Smolenice Castle, Czechoslovakia, September 8-12, 1991, under the sponsorship of the European Coordinating Committee for Artificial Intelligence, ECCAI. FAIR'91, the first of an intended series of international workshops, addresses issues which belong to the theoretical foundations of artificial intelligence considered as a discipline focused on concise theoretical description of some aspects of intelligence by toolsand methods adopted from mathematics, logic, and theoretical computer science. The intended goal of the FAIR workshops is to provide a forum for the exchange of ideas and results in a domain where theoretical models play an essential role. It is felt that such theoretical studies, their development and their relations to AI experiments and applications have to be promoted in the AI research community.