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New Directions in Educational Technology

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Cover of 'New Directions in Educational Technology'

Table of Contents

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    Book Overview
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    Chapter 1 Instructional Systems Need Instructional Theory: Comments on a Truism
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    Chapter 2 Toward a Design Science of Education
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    Chapter 3 A Workbench for Discovering Task Specific Theories of Learning
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    Chapter 4 Computers in Teaching and Learning: An Interpretation of Current Practices and Suggestions for Future Directions
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    Chapter 5 New Directions for Educational Technology
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    Chapter 6 Formative Experiments on the Coevolution of Technology and the Educational Environment
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    Chapter 7 Towards Intelligent Tutoring Systems that Teach Knowledge Rather than Skills: Five Research Questions
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    Chapter 8 The Present and Future of Intelligent Tutoring Systems
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    Chapter 9 Intelligent Tutoring Systems: Navigating the Rocky Road to Success
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    Chapter 10 Designing Hypertext for Learning
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    Chapter 11 A Prototype Futuristic Technology for Distance Education
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    Chapter 12 Tools for Scientific Thinking: Learning Physical Concepts with Real-Time Laboratory Measurement Tools
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    Chapter 13 Constructing Student Knowledge in Science
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    Chapter 14 Technology for All Pupils: An English School System Context
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    Chapter 15 Research in Advanced Educational Technology: Two Methods
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    Chapter 16 Towards More Versatile Tutors for Programming
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    Chapter 17 Problem Solving and Explanation in Intelligent Tutoring Systems: Issues for Future Research
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    Chapter 18 Mental Models and Understanding: A Problem for Science Education
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    Chapter 19 A Microworld-Based Approach to Science Education
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Title
New Directions in Educational Technology
Published by
Springer, Berlin, Heidelberg, January 1992
DOI 10.1007/978-3-642-77750-9
ISBNs
978-3-64-277752-3, 978-3-64-277750-9
Editors

Eileen Scanlon, Tim O’Shea

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Student > Master 3 12%
Student > Doctoral Student 2 8%
Lecturer 2 8%
Researcher 2 8%
Other 4 15%
Unknown 8 31%
Readers by discipline Count As %
Social Sciences 8 31%
Computer Science 4 15%
Business, Management and Accounting 2 8%
Linguistics 1 4%
Physics and Astronomy 1 4%
Other 1 4%
Unknown 9 35%