YT-Pilot: Turning YouTube into Structured Learning Pathways with Context-Aware AI Support
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866910102813933568 |
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| author | Albassam, Dina Quan, Kexin Wu, Mengke Pande, Sanika Zhai, ChengXiang Huang, Yun |
| author_facet | Albassam, Dina Quan, Kexin Wu, Mengke Pande, Sanika Zhai, ChengXiang Huang, Yun |
| contents | YouTube is widely used for informal learning, where learners explore lectures and tutorials without a predefined curriculum. However, learning across videos remains fragmented: learners must decide what to watch, how videos relate, and how knowledge builds. Existing tools provide partial support but treat planning and learning as separate activities, lacking a persistent interaction structure that connects them. Grounded in self-regulated learning theory (SRLT), we introduce YT-Pilot, a pathway-aware learning system that operationalizes the learning pathway as a persistent, user-facing interaction structure spanning planning and learning. The pathway coordinates goal setting, planning, navigation, progress tracking, and cross-video assistance. Through a within-subjects study ($N=20$), we show that YT-Pilot significantly improves perceived goal clarity, pathway coherence, and progress tracking, while shifting interaction toward pathway-level reasoning across multiple resources. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_03543 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | YT-Pilot: Turning YouTube into Structured Learning Pathways with Context-Aware AI Support Albassam, Dina Quan, Kexin Wu, Mengke Pande, Sanika Zhai, ChengXiang Huang, Yun Human-Computer Interaction YouTube is widely used for informal learning, where learners explore lectures and tutorials without a predefined curriculum. However, learning across videos remains fragmented: learners must decide what to watch, how videos relate, and how knowledge builds. Existing tools provide partial support but treat planning and learning as separate activities, lacking a persistent interaction structure that connects them. Grounded in self-regulated learning theory (SRLT), we introduce YT-Pilot, a pathway-aware learning system that operationalizes the learning pathway as a persistent, user-facing interaction structure spanning planning and learning. The pathway coordinates goal setting, planning, navigation, progress tracking, and cross-video assistance. Through a within-subjects study ($N=20$), we show that YT-Pilot significantly improves perceived goal clarity, pathway coherence, and progress tracking, while shifting interaction toward pathway-level reasoning across multiple resources. |
| title | YT-Pilot: Turning YouTube into Structured Learning Pathways with Context-Aware AI Support |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2604.03543 |