تقرير
HTN-Based Tutors: A New Intelligent Tutoring Framework Based on Hierarchical Task Networks
| العنوان: | HTN-Based Tutors: A New Intelligent Tutoring Framework Based on Hierarchical Task Networks |
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| المؤلفون: | Siddiqui, Momin N., Gupta, Adit, Reddig, Jennifer M., MacLellan, Christopher J. |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction |
| الوصف: | Intelligent tutors have shown success in delivering a personalized and adaptive learning experience. However, there exist challenges regarding the granularity of knowledge in existing frameworks and the resulting instructions they can provide. To address these issues, we propose HTN-based tutors, a new intelligent tutoring framework that represents expert models using Hierarchical Task Networks (HTNs). Like other tutoring frameworks, it allows flexible encoding of different problem-solving strategies while providing the additional benefit of a hierarchical knowledge organization. We leverage the latter to create tutors that can adapt the granularity of their scaffolding. This organization also aligns well with the compositional nature of skills. Comment: Accepted for publication in Proceedings of the Eleventh ACM Conference on Learning @ Scale (L@S'24), July 18--20, 2024, Atlanta, GA, USA |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1145/3657604 |
| URL الوصول: | http://arxiv.org/abs/2405.14716 |
| رقم الأكسشن: | edsarx.2405.14716 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1145/3657604 |
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