Exploring Teachers' Perspectives on Using Conversational AI Agents for Group Collaboration
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , , , , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866911579631517696 |
|---|---|
| author | Ravi, Prerna Stevens, Carúmey Azevedo, Beatriz Flamia David, Jasmine Hanks, Brandon Abelson, Hal Lin, Grace Anderson, Emma |
| author_facet | Ravi, Prerna Stevens, Carúmey Azevedo, Beatriz Flamia David, Jasmine Hanks, Brandon Abelson, Hal Lin, Grace Anderson, Emma |
| contents | Collaboration is a cornerstone of 21st-century learning, yet teachers continue to face challenges in supporting productive peer interaction. Emerging generative AI tools offer new possibilities for scaffolding collaboration, but their role in mediating in-person group work remains underexplored, especially from the perspective of educators. This paper presents findings from an exploratory qualitative study with 33 K12 teachers who interacted with Phoenix, a voice-based conversational agent designed to function as a near-peer in face-to-face group collaboration. Drawing on playtesting sessions, surveys, and focus groups, we examine how teachers perceived the agent's behavior, its influence on group dynamics, and its classroom potential. While many appreciated Phoenix's capacity to stimulate engagement, they also expressed concerns around autonomy, trust, anthropomorphism, and pedagogical alignment. We contribute empirical insights into teachers' mental models of AI, reveal core design tensions, and outline considerations for group-facing AI agents that support meaningful, collaborative learning. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_07142 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Exploring Teachers' Perspectives on Using Conversational AI Agents for Group Collaboration Ravi, Prerna Stevens, Carúmey Azevedo, Beatriz Flamia David, Jasmine Hanks, Brandon Abelson, Hal Lin, Grace Anderson, Emma Human-Computer Interaction Artificial Intelligence Collaboration is a cornerstone of 21st-century learning, yet teachers continue to face challenges in supporting productive peer interaction. Emerging generative AI tools offer new possibilities for scaffolding collaboration, but their role in mediating in-person group work remains underexplored, especially from the perspective of educators. This paper presents findings from an exploratory qualitative study with 33 K12 teachers who interacted with Phoenix, a voice-based conversational agent designed to function as a near-peer in face-to-face group collaboration. Drawing on playtesting sessions, surveys, and focus groups, we examine how teachers perceived the agent's behavior, its influence on group dynamics, and its classroom potential. While many appreciated Phoenix's capacity to stimulate engagement, they also expressed concerns around autonomy, trust, anthropomorphism, and pedagogical alignment. We contribute empirical insights into teachers' mental models of AI, reveal core design tensions, and outline considerations for group-facing AI agents that support meaningful, collaborative learning. |
| title | Exploring Teachers' Perspectives on Using Conversational AI Agents for Group Collaboration |
| topic | Human-Computer Interaction Artificial Intelligence |
| url | https://arxiv.org/abs/2602.07142 |