Afterword: from this revolution to the next
Smart machines in education
Improving Student Models by Reasoning about Cognitive Ability, Emotions and Gender
UM '01 Proceedings of the 8th International Conference on User Modeling 2001
Toward Measuring and Maintaining the Zone of Proximal Development in Adaptive Instructional Systems
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Some useful tactics to modify, map and mine data from intelligent tutors
Natural Language Engineering
Cluster-based predictive modeling to improve pedagogic reasoning
Computers in Human Behavior
Towards designing a user-adaptive web-based e-learning system
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Evaluating the REDEEM Authoring Tool: Can Teachers Create Effective Learning Environments?
International Journal of Artificial Intelligence in Education
International Journal of Artificial Intelligence in Education
MathGirls: Toward Developing Girls' Positive Attitude and Self-Efficacy through Pedagogical Agents
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Using Item Response Theory (IRT) to select hints in an ITS
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Automatic summary assessment for intelligent tutoring systems
Computers & Education
The role of learner attributes and affect determining the impact of agent presence
International Journal of Learning Technology
An empirical study about calibration of adaptive hints in web-based adaptive testing environments
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Learning what works in its from non-traditional randomized controlled trial data
International Journal of Artificial Intelligence in Education - Special issue on Best of ITS 2010
International Journal of Artificial Intelligence in Education
What is age's affect in collaborative learning environments?
UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: user and context diversity - Volume 2
Hint systems may negatively impact performance in educational games
Proceedings of the first ACM conference on Learning @ scale conference
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We have built empirical models of elementary-school students' behavior from analyzing student interaction with a mathematics tutor with the objective of building teaching policies for individually different students. This model incorporates external information about the student, namely cognitive development and gender. It also incorporates hint features, namely the degree of interactivity and symbolism of each hint given. We found that boys benefit better from noninteractive and low-intrusive hints, while girls benefit better from highly interactive hints. We found that low symbolic hints are more effective for low cognitive ability students than highly symbolic ones, and the opposite happens for high cognitive ability students.