'Knowledge structure' diaporamas de présentation

Text-based Construction and Comparison of Domain Ontology: A study based on classical poetry

Text-based Construction and Comparison of Domain Ontology: A study based on classical poetry. Chu-Ren Huang Academia Sinica. Outline. Motivation and Framework: Laying the foundation Basic Resources: The building blocks From General Ontology to Specific Ontology: Study of Shu-Shi Poems

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Chapter 2: The Representation of Knowledge

Chapter 2: The Representation of Knowledge. Expert Systems: Principles and Programming, Fourth Edition. Original by Course Technology Modified by Ramin Halavati (halavati@ce.sharif.edu). Objectives. Introduce the study of logic Learn the difference between formal logic and informal logic

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AND SET OF EXPERIENCE KNOWLEDGE STRUCTURE

Decisional DNA. AND SET OF EXPERIENCE KNOWLEDGE STRUCTURE.

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Student Conceptions of Entropy in an Introductory Physics Course

Student Conceptions of Entropy in an Introductory Physics Course. Warren Christensen Iowa State University April 12, 2007. Outline. Discipline-based Education Research Theoretical Background Entropy in Spontaneous Processes General context question Concrete context question

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Physics Education Research: The Why and the How

Physics Education Research: The Why and the How. Warren Christensen Iowa State University January 26, 2007. Outline. Putting Physics into Educational Research A little theory How we take measurements How we develop curriculum An example from start to middle finish Conclusions.

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Unlocking CII Knowledge

Unlocking CII Knowledge. Applying CII Knowledge Improves Project Performance. Project Performance. Early. Frequent. Many. Practice Use. Key to Unlock the Knowledge. CII Knowledge. Project Teams. Education Modules. Read/Evaluate Research Products. YOU. Implement CII Practices.

405 views • 39 slides

Physics Education Research: The Why and the How

Physics Education Research: The Why and the How. Warren Christensen Iowa State University January 26, 2007. Outline. Putting Physics into Educational Research A little theory How we take measurements How we develop curriculum An example from start to middle finish Conclusions.

423 views • 39 slides

From General Ontology to Specific Ontology: Study of Shu-Shi Poems

From General Ontology to Specific Ontology: Study of Shu-Shi Poems. Ru-Yng Chang, Sue-ming Chang, Feng-ju Luo*, Chu-Ren Huang Academia Sinica, Yuan-Ze University*. Knowledge and Knowledge Structure Variation. Knowledge is Structured Information

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ITCS452: Knowledge Representation

ITCS452: Knowledge Representation. Dr. Jarernsri L. Mitrpanont. Knowledge Representations. A number of knowledge-representation techniques have been devised: Semantic nets Frames Scripts Conceptual graphs Logic Rules. Associative (Semantic) Networks.

540 views • 34 slides

From General Ontology to Specific Ontology: Study of Shu-Shi Poems

From General Ontology to Specific Ontology: Study of Shu-Shi Poems. Ru-Yng Chang, Sue-ming Chang, Feng-ju Luo*, Chu-Ren Huang Academia Sinica, Yuan-Ze University*. Knowledge and Knowledge Structure Variation. Knowledge is Structured Information

483 views • 34 slides

IVHPS: A Web-based Bayesian van Hiele Problem Solver for Java Language

IVHPS: A Web-based Bayesian van Hiele Problem Solver for Java Language. J. Wey Chen, Professor Department of Information Management Southern Taiwan University Tainan, Taiwan. Outline. Introduction * Motivation * Purpose of the study * Advantages of the System

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ITS and SCORM

ITS and SCORM. Xiangen Hu, Andrew Olney, Eric Mathews, Art Graesser The University of Memphis. Agenda. AutoTutor ADL and SCORM ITS and SCORM2004 Summary. AutoTutor. Tutoring. Effective Tutoring Involves the Student: (Graesser, Person, and Magliano 1995; Chi 1996)

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Knowledge structure in curriculum and pedagogy: continuity or dichotomy?

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Introduction to Knowledge Space Theory: Part II

Introduction to Knowledge Space Theory: Part II. Christina Steiner, University of Graz, Austria April 4, 2005. c. d. b. e. a. Surmise Function. for mastering a problem p there is a minimal set of problems that must have been mastered before prerequisites for problem p example :.

378 views • 20 slides

Intro to Computation and AI

Intro to Computation and AI. Dr. Jill Fain Lehman School of Computer Science Lecture 6: December 4, 1997. Review. Last lecture looked at AI uses of basic graph structures and algorithms: Inheritance hierarchies and inferential reasoning Constraint satisfaction and propagation

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Intro to Computation and AI

Intro to Computation and AI. Dr. Jill Fain Lehman School of Computer Science Lecture 6: December 4, 1997. Review. Last lecture looked at AI uses of basic graph structures and algorithms: Inheritance hierarchies and inferential reasoning Constraint satisfaction and propagation

113 views • 11 slides

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INTERFACE

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