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Artificial Intelligence in Higher Education

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Cover of 'Artificial Intelligence in Higher Education'

Table of Contents

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    Book Overview
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    Chapter 1 The impact of artificial intelligence on education: Opening new windows
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    Chapter 2 Expert systems in higher education
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    Chapter 3 Prolog and the teaching of artificial intelligence at the technical university of košice
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    Chapter 4 Second generation expert systems in education and engineering practice
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    Chapter 5 Expert-tutoring systems : Architecture & development tools
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    Chapter 6 Linguistic aspects of AI
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    Chapter 7 A.I. means advanced informatics
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    Chapter 8 Knowledge engineering research and training at the dept. of scientific and technical information, prague school of economics
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    Chapter 9 Changing philosophy of teaching artificial intelligence a case study
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    Chapter 10 A.I. in the undergraduate programme at loughborough
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    Chapter 11 A knowledge-based system for CAPP
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    Chapter 12 A proposal for an undergraduate degree in the uses of logic
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    Chapter 13 Design of knowledged-based systems
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    Chapter 14 Logic programming in artificial intelligence education
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    Chapter 15 Artificial intelligence and humanistic informatics
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    Chapter 16 The advent of artificial intelligence
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    Chapter 17 The fel-expert project — applications in education
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    Chapter 18 Short history and present state of the artificial intelligence education at the technical university in pilsen
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    Chapter 19 Toward the design of adaptive instructions and helps for knowledge communication with the problem solving monitor ABSYNT
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    Chapter 20 AI techniques in the curriculum of engineering students
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    Chapter 21 Teaching artificial intelligence at the faculty of mathematics and physics, charles university
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    Chapter 22 After 24 years in AI: Some lessons
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    Chapter 23 Cognitive robot education and image processing research at the Czech Technical University of Prague
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    Chapter 24 Are intelligent tutoring systems useful for learning in technical environments?
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    Chapter 25 Epistemological challenges for the next generation AI and expert systems
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    Chapter 26 AI education and logic
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    Chapter 27 Uses of artificial intelligence in computer-based instruction
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    Chapter 28 Teaching students of electrical engineering ai methods
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    Chapter 29 A new framework for describing and designing intelligent tutoring systems
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    Chapter 30 The effect of AI applications on graduate education in Turkey
Overall attention for this book and its chapters
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Artificial Intelligence in Higher Education
Published by
Springer Berlin Heidelberg, January 2006
DOI 10.1007/3-540-52952-7
978-3-54-052952-1, 978-3-54-047183-7

Mařík, Vladimir, Štěpánková, Olga, Zdráhal, Zdeněk

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Student > Master 1 20%
Unknown 3 60%
Readers by discipline Count As %
Computer Science 1 20%
Social Sciences 1 20%
Unknown 3 60%