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Active Conceptual Modeling of Learning

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Cover of 'Active Conceptual Modeling of Learning'

Table of Contents

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    Book Overview
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    Chapter 1 Overview of Papers in 2006 Active Conceptual Modeling of Learning (ACM-L) Workshop
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    Chapter 2 Architecture for Active Conceptual Modeling of Learning
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    Chapter 3 Understanding the Semantics of Data Provenance to Support Active Conceptual Modeling
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    Chapter 4 Adaptive and Context-Aware Reconciliation of Reactive and Pro-active Behavior in Evolving Systems
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    Chapter 5 A Common Core for Active Conceptual Modeling for Learning from Surprises
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    Chapter 6 Actively Evolving Conceptual Models for Mini-World and Run-Time Environment Changes
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    Chapter 7 Achievements and Problems of Conceptual Modelling
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    Chapter 8 Metaphor Modeling on the Semantic Web
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    Chapter 9 Schema Changes and Historical Information in Conceptual Models in Support of Adaptive Systems
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    Chapter 10 Using Active Modeling in Counterterrorism
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    Chapter 11 To Support Emergency Management by Using Active Modeling: A Case of Hurricane Katrina
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    Chapter 12 Using Ontological Modeling in a Context-Aware Summarization System to Adapt Text for Mobile Devices
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    Chapter 13 Accommodating Streams to Support Active Conceptual Modeling of Learning from Surprises
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    Chapter 14 Approaches to the Active Conceptual Modelling of Learning
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    Chapter 15 Spatio-temporal and Multi-representation Modeling: A Contribution to Active Conceptual Modeling
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    Chapter 16 Postponing Schema Definition: Low Instance-to-Entity Ratio ( LItER ) Modelling
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    Chapter 17 Research Issues in Active Conceptual Modeling of Learning: Summary of Panel Discussions in Two Workshops (May 2006) and (November 2006)
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Citations

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34 Mendeley
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Title
Active Conceptual Modeling of Learning
Published by
Springer Berlin Heidelberg, January 2008
DOI 10.1007/978-3-540-77503-4
ISBNs
978-3-54-077502-7, 978-3-54-077503-4
Editors

Chen, Peter P., Wong, Leah Y.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 2 6%
Sweden 1 3%
Czechia 1 3%
Ukraine 1 3%
United States 1 3%
Unknown 28 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 21%
Student > Ph. D. Student 6 18%
Professor 6 18%
Student > Doctoral Student 3 9%
Professor > Associate Professor 3 9%
Other 8 24%
Unknown 1 3%
Readers by discipline Count As %
Computer Science 16 47%
Social Sciences 9 26%
Agricultural and Biological Sciences 2 6%
Business, Management and Accounting 2 6%
Earth and Planetary Sciences 1 3%
Other 1 3%
Unknown 3 9%