HTN-Based Tutors: A New Intelligent Tutoring Framework Based on Hierarchical Task Networks
Author:
Affiliation:
1. Georgia Institute of Technology, Atlanta, GA, USA
2. Drexel University, Philadelphia, PA, USA
Funder
NSF (National Science Foundation)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3657604.3664702
Reference26 articles.
1. AI-ALOE. 2024. Technologies. https://aialoe.org/technologies. Accessed: April 15, 2024.
2. Vincent Aleven. 2010. Rule-based cognitive modeling for intelligent tutoring systems. In Advances in intelligent tutoring systems. Springer, 33--62.
3. Example-Tracing Tutors: Intelligent Tutor Development for Non-programmers
4. Introducing an Open-source Adaptive Tutoring System to Accelerate Learning Sciences Experimentation
5. John R Anderson C Franklin Boyle Albert T Corbett and Matthew W Lewis. 1990. Cognitive modeling and intelligent tutoring. (1990).
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