Proceedings of the ACM on Human-Computer Interaction· 2026Q2
Mind the Trust Gap: Identifying (Mis)alignments in Teacher-Student Views Toward Control and Agency in K-12 Classroom AI
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- Q2SCImago
- 2026year
Short summary
A study of 16 students and 15 teachers in Germany found significant misalignments in their views on AI control and trust in K-12 classrooms, highlighting the impact of existing teacher-student relationships on AI interactions.
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Key points
- 16 students and 15 teachers participated in a study on AI in K-12 classrooms.
- Misalignments were found between student and teacher views on AI control and trust.
- Social and emotional aspects of student learning with AI were a point of divergence.
- Teacher-student relationships outside of AI use impact views on AI interactions.
AI-generated from the title and abstract; the full text is not read.
Abstract
As Artificial Intelligence (AI)-based technologies have been integrated into school classrooms where multiple stakeholders (with different roles) interact with each other, it is critical to deeply understand stakeholder views in the classroom. In particular, prior work has not fully uncovered how teachers’ and school students’ views might or might not align well with each other, especially in K-12 classrooms. We conducted a speed-dating study using storyboards with 16 school students and 15 school teachers in Germany to investigate alignments and misalignments between their views on student-AI decision-making control in K-12 classroom. Through an explicit pair-matching analysis, we found that students and teachers had misaligned views on several key topics, including how much they trust AI and social and emotional aspects of student learning with AI. Findings also revealed the importance of teacher-student relationships outside of AI use that shape stakeholders’ views and interactions. We discuss potential reasons for the observed misaligned views and strategies to fill the perspective gaps. This study illustrates the complexities of preferences in teacher-student-AI interactions that depend on the dynamic relations among the stakeholders.
The authors' abstract, as published at the source. Proceedings of the ACM on Human-Computer Interaction, 2026 · DOI ↗
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