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Intelligent Tutoring Systems
A Teaching Strategies Engine Using Translation from SWRL to Jess
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Author(s):
Eric Wang
,
Yong Se Kim
Publication date
(Print):
2006
Publisher:
Springer Berlin Heidelberg
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Jess in Action
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Book Chapter
Publication date (Print):
2006
Pages
: 51-60
DOI:
10.1007/11774303_6
SO-VID:
f6b8039a-350c-4746-9f5b-622fd7d4a8e7
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Book chapters
pp. 1
Automated Expert Modeling for Automated Student Evaluation
pp. 51
A Teaching Strategies Engine Using Translation from SWRL to Jess
pp. 187
A Collaborative Learning Design Environment to Integrate Practice and Learning Based on Collaborative Space Ontology and Patterns
pp. 41
Authoring Constraint-Based Tutors in ASPIRE
pp. 443
The Potential for Chatbots in Negotiated Learner Modelling: A Wizard-of-Oz Study
pp. 463
Automatic Recognition of Learner Groups in Exploratory Learning Environments
pp. 513
Learning Styles Diagnosis Based on User Interface Behaviors for the Customization of Learning Interfaces in an Intelligent Tutoring System
pp. 555
Approximate Modelling of the Multi-dimensional Learner
pp. 61
The Cognitive Tutor Authoring Tools (CTAT): Preliminary Evaluation of Efficiency Gains
pp. 645
An Approach to Intelligent Training on a Robotic Simulator Using an Innovative Path-Planner
pp. 104
A Bayes Net Toolkit for Student Modeling in Intelligent Tutoring Systems
pp. 197
The Big Five and Visualisations of Team Work Activity
pp. 278
Combining ITS and eLearning Technologies: Opportunities and Challenges
pp. 318
Studying the Effects of Personalized Language and Worked Examples in the Context of a Web-Based Intelligent Tutor
pp. 360
The Help Tutor: Does Metacognitive Feedback Improve Students’ Help-Seeking Actions, Skills and Learning?
pp. 382
Detection and Analysis of Off-Task Gaming Behavior in Intelligent Tutoring Systems
pp. 402
Generalizing Detection of Gaming the System Across a Tutoring Curriculum
pp. 481
Student Preferences for Editing, Persuading, and Negotiating the Open Learner Model
pp. 525
Comparison of Machine Learning Methods for Intelligent Tutoring Systems
pp. 625
Scaffolding Problem Solving with Annotated, Worked-Out Examples to Promote Deep Learning
pp. 635
Scaffolding vs. Hints in the Assistment System
pp. 722
Prevention of Off-Task Gaming Behavior in Intelligent Tutoring Systems
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