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Intelligent Tutoring Systems
The Invention Lab: Using a Hybrid of Model Tracing and Constraint-Based Modeling to Offer Intelligent Support in Inquiry Environments
other
Author(s):
Ido Roll
,
Vincent Aleven
,
Kenneth R. Koedinger
Publication date
(Print):
2010
Publisher:
Springer Berlin Heidelberg
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KOME: An International Journal of Pure Communication Inquiry
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Scientific Discovery Learning with Computer Simulations of Conceptual Domains
T. De Jong
,
W. Van Joolingen
(1998)
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Inventing to Prepare for Future Learning: The Hidden Efficiency of Encouraging Original Student Production in Statistics Instruction
Taylor Martin
,
Daniel Schwartz
(2004)
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Productive Failure
Manu Kapur
(2008)
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Book Chapter
Publication date (Print):
2010
Pages
: 115-124
DOI:
10.1007/978-3-642-13388-6_16
SO-VID:
b6120d68-e00f-4e81-a6c2-642745cb240c
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Book chapters
pp. 35
Comparing Knowledge Tracing and Performance Factor Analysis by Using Multiple Model Fitting Procedures
pp. 45
Automatic Question Generation for Literature Review Writing Support
pp. 115
The Invention Lab: Using a Hybrid of Model Tracing and Constraint-Based Modeling to Offer Intelligent Support in Inquiry Environments
pp. 156
Socially Capable Conversational Tutors Can Be Effective in Collaborative Learning Situations
pp. 214
Analogies, Explanations, and Practice: Examining How Task Types Affect Second Language Grammar Learning
pp. 245
A Time for Emoting: When Affect-Sensitivity Is and Isn’t Effective at Promoting Deep Learning
pp. 327
The Effect of Motivational Learning Companions on Low Achieving Students and Students with Disabilities
pp. 401
How Adaptive Is an Expert Human Tutor?
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Making the failure more productive: scaffolding the invention process to improve inquiry behaviors and outcomes in invention activities
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