December 4, 2020

Download Ebook Free Goal Driven Learning

Goal-driven Learning

Goal-driven Learning
Author : Ashwin Ram,David B. Leake,David Leake
Publisher : MIT Press
Release Date : 1995
Category : Computers
Total pages :507
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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 : Anonim
Publisher : Stanford University
Release Date : 2011
Category :
Total pages :129
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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
Publisher : University of Michigan Press ELT
Release Date : 2010
Category : Education
Total pages :140
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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.

Advances in Web-Based Learning -- ICWL 2013

Advances in Web-Based Learning -- ICWL 2013
Author : Jhing-Fa Wang,Rynson Lau
Publisher : Springer
Release Date : 2013-09-08
Category : Education
Total pages :352
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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.

Fundamentals of Artificial Intelligence Research

Fundamentals of Artificial Intelligence Research
Author : Jozef Kelemen
Publisher : Springer Science & Business Media
Release Date : 1991-08-28
Category : Computers
Total pages :255
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This volume contains the invited and submitted contributions to FAIR '91, the first of an intended series of workshops on issues in the theoretical foundations of artificial intelligence. FAIR '91 was held in Czechoslovakia in September 1991.

Handbook of Research on Improving Learning and Motivation through Educational Games: Multidisciplinary Approaches

Handbook of Research on Improving Learning and Motivation through Educational Games: Multidisciplinary Approaches
Author : Felicia, Patrick
Publisher : IGI Global
Release Date : 2011-04-30
Category : Education
Total pages :1462
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"This book provides relevant theoretical frameworks and the latest empirical research findings on game-based learning to help readers who want to improve their understanding of the important roles and applications of educational games in terms of teaching strategies, instructional design, educational psychology and game design"--Provided by publisher.

AI Magazine

AI Magazine
Author : Anonim
Publisher : Unknown
Release Date : 1995
Category : Artificial intelligence
Total pages :129
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Meta-Learning in Computational Intelligence

Meta-Learning in Computational Intelligence
Author : Norbert Jankowski,Włodzisław Duch,Krzysztof Grąbczewski
Publisher : Springer
Release Date : 2011-06-10
Category : Computers
Total pages :359
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Computational Intelligence (CI) community has developed hundreds of algorithms for intelligent data analysis, but still many hard problems in computer vision, signal processing or text and multimedia understanding, problems that require deep learning techniques, are open. Modern data mining packages contain numerous modules for data acquisition, pre-processing, feature selection and construction, instance selection, classification, association and approximation methods, optimization techniques, pattern discovery, clusterization, visualization and post-processing. A large data mining package allows for billions of ways in which these modules can be combined. No human expert can claim to explore and understand all possibilities in the knowledge discovery process. This is where algorithms that learn how to learnl come to rescue. Operating in the space of all available data transformations and optimization techniques these algorithms use meta-knowledge about learning processes automatically extracted from experience of solving diverse problems. Inferences about transformations useful in different contexts help to construct learning algorithms that can uncover various aspects of knowledge hidden in the data. Meta-learning shifts the focus of the whole CI field from individual learning algorithms to the higher level of learning how to learn. This book defines and reveals new theoretical and practical trends in meta-learning, inspiring the readers to further research in this exciting field.

Student-Driven Learning

Student-Driven Learning
Author : Anonim
Publisher : Pembroke Publishers Limited
Release Date : 2012
Category : Active learning
Total pages :128
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Advances in Case-Based Reasoning

Advances in Case-Based Reasoning
Author : France Ewcbr-9 1994 Chantilly,Jean-Paul Haton,Mark Keane,Michel Manago
Publisher : Springer Science & Business Media
Release Date : 1995-10-11
Category : Computers
Total pages :306
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The type of material considered for publication includes drafts of original papers or monographs, technical reports of high quality and broad interest, advanced-level lectures, reports of meetings, provided they are of exceptional interest and focused on a single topic.

DNA Leadership Through Goal-driven Management

DNA Leadership Through Goal-driven Management
Author : James R. Ball
Publisher : Goals Inst
Release Date : 1997
Category : Business & Economics
Total pages :420
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Methods and Applications for Advancing Distance Education Technologies: International Issues and Solutions

Methods and Applications for Advancing Distance Education Technologies: International Issues and Solutions
Author : Syed, Mahbubur Rahman
Publisher : IGI Global
Release Date : 2009-04-30
Category : Education
Total pages :434
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Provides communication technologies, intelligent technologies, and quality educational pedagogy for advancing distance education for both teaching and learning.

Machine Learning Proceedings 1992

Machine Learning Proceedings 1992
Author : Machine Learning
Publisher : Morgan Kaufmann
Release Date : 2014-06-28
Category : Computers
Total pages :448
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Machine Learning Proceedings 1992

Understanding Language Understanding

Understanding Language Understanding
Author : Ashwin Ram,Kenneth Moorman
Publisher : MIT Press
Release Date : 1999
Category : Education
Total pages :499
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This book highlights cutting-edge research relevant to the building of a computational model of reading comprehension, as in the processing and understanding of a natural language text or story. The book takes an interdisciplinary approach to the study of reading, with contributions from computer science, psychology, and philosophy. Contributors cover the theoretical and psychological foundations of the research in discussions of what it means to understand a text, how one builds a computational model, and related issues in knowledge representation and reasoning. The book also addresses some of the broader issues that a natural language system must deal with, such as reading in context, linguistic novelty, and information extraction.

Case-Based Reasoning Research and Development

Case-Based Reasoning Research and Development
Author : Belén Díaz Agudo,Ian Watson
Publisher : Springer
Release Date : 2013-11-13
Category : Computers
Total pages :416
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This book constitutes the thoroughly refereed post-conference proceedings of the 20th International Conference on Case-Based Reasoning Research and Development (ICCBR 2012) held in Lyon, France, September 3-6, 2012. The 34 revised full papers presented were carefully selected from 51 submissions. The presentations and posters covered a wide range of CBR topics of interest to both practitioners and researchers, including foundational issues covering case representation, similarity, retrieval, and adaptation; conversational CBR recommender systems; multi-agent collaborative systems; data mining; time series analysis; Web applications; knowledge management; legal reasoning; healthcare systems and planning and scheduling systems.