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Home > Intelligent Tutoring Systems: 8th International Conference, ITS 2006, Jhongli, Taiwan, June 26-30, 2006 Proceedings > From Black-Box Learning Objects to Glass-Box Learning Objects
Intelligent Tutoring Systems: 8th International Conference, ITS 2006, Jhongli, Taiwan, June 26-30, 2006 Proceedings |
Mitsuru Ikeda; Kevin Ashlay; Tak-Wai Chan
Springer Berlin Heidelberg
Intelligent Tutoring Systems: 8th International Conference, ITS 2006, Jhongli, Taiwan, June 26-30, 2006 Proceedings
From Black-Box Learning Objects to Glass-Box Learning Objects
Authors

Philippe Fournier-Viger; Mehdi Najjar; André Mayers; Roger Nkambou

ARI Id

1664719596017_2909086

Access

Not Available Free

Pages

258-267

DOI

10.1007/11774303_26

Chapter URL

https://rd.springer.com/chapter/10.1007/11774303_26

Table of Contents of Book
Showing 1 to 20 of 115 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Automated Expert Modeling for Automated Student Evaluation
Robert G. Abbott
1-10
Multicriteria Automatic Essay Assessor Generation by Using TOPSIS Model and Genetic Algorithm
Shu-ling Cheng; Hae-Ching Chang
11-20
Better Student Assessing by Finding Difficulty Factors in a Fully Automated Comprehension Measure
Brooke Soden Hensler; Joseph Beck
21-30
Predicting State Test Scores Better with Intelligent Tutoring Systems: Developing Metrics to Measure Assistance Required
Mingyu Feng; Neil T. Heffernan; Kenneth R. Koedinger
31-40
Authoring Constraint-Based Tutors in ASPIRE
Antonija Mitrovic; Pramuditha Suraweera; Brent Martin; Konstantin Zakharov; Nancy Milik; Jay Holland
41-50
A Teaching Strategies Engine Using Translation from SWRL to Jess
Eric Wang; Yong Se Kim
51-60
The Cognitive Tutor Authoring Tools (CTAT): Preliminary Evaluation of Efficiency Gains
Vincent Aleven; Bruce M. McLaren; Jonathan Sewall; Kenneth R. Koedinger
61-70
A Bayesian Network Approach for Modeling the Influence of Contextual Variables on Scientific Problem Solving
Ronald H. Stevens; Vandana Thadani
71-84
A Decision-Theoretic Approach to Scientific Inquiry Exploratory Learning Environment
Choo-Yee Ting; M. Reza Beik Zadeh; Yen-Kuan Chong
85-94
Conceptual Change Modeling Using Dynamic Bayesian Network
Choo-Yee Ting; Yen-Kuan Chong
95-103
A Bayes Net Toolkit for Student Modeling in Intelligent Tutoring Systems
Kai-min Chang; Joseph Beck; Jack Mostow; Albert Corbett
104-113
A Comparison of Decision-Theoretic, Fixed-Policy and Random Tutorial Action Selection
R. Charles Murray; Kurt VanLehn
114-123
Evaluation of a System That Generates Word Problems Through Interactions with a User
Kazuaki Kojima; Kazuhisa Miwa
124-133
Time in the Adaptive Tutoring Process Model
Alke Martens
134-143
Coaching Within a Domain Independent Inquiry Environment
Toby Dragon; Beverly Park Woolf; David Marshall; Tom Murray
144-153
How “Consciousness” Allows a Cognitive Tutoring Agent Make Good Diagnosis During Astronauts’ Training
Daniel Dubois; Roger Nkambou; Patrick Hohmeyer
154-163
Learning Factors Analysis – A General Method for Cognitive Model Evaluation and Improvement
Hao Cen; Kenneth Koedinger; Brian Junker
164-175
A Constraint-Based Collaborative Environment for Learning UML Class Diagrams
Nilufar Baghaei; Antonija Mitrovic
176-186
A Collaborative Learning Design Environment to Integrate Practice and Learning Based on Collaborative Space Ontology and Patterns
Masataka Takeuchi; Yusuke Hayashi; Mitsuru Ikeda; Riichiro Mizoguchi
187-196
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 115 entries
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