HTN-Based Tutors: A New Intelligent Tutoring Framework Based on Hierarchical Task Networks
Fuente:
arXiv
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866911885570342912 |
|---|---|
| author | Siddiqui, Momin N. Gupta, Adit Reddig, Jennifer M. MacLellan, Christopher J. |
| author_facet | Siddiqui, Momin N. Gupta, Adit Reddig, Jennifer M. MacLellan, Christopher J. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_14716 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | HTN-Based Tutors: A New Intelligent Tutoring Framework Based on Hierarchical Task Networks Siddiqui, Momin N. Gupta, Adit Reddig, Jennifer M. MacLellan, Christopher J. Artificial Intelligence Human-Computer Interaction 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. |
| title | HTN-Based Tutors: A New Intelligent Tutoring Framework Based on Hierarchical Task Networks |
| topic | Artificial Intelligence Human-Computer Interaction |
| url | https://arxiv.org/abs/2405.14716 |