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Surveying Teachers’ Preferences and Boundaries Regarding Human-AI Control in Dynamic Pairing of Students for Collaborative Learning

Part of the Lecture Notes in Computer Science book series (LNISA,volume 12884)

Abstract

Orchestration tools may support K-12 teachers in facilitating student learning, especially when designed to address classroom stakeholders’ needs. Our previous work revealed a need for human-AI shared control when dynamically pairing students for collaborative learning in the classroom, but offered limited guidance on the role each agent should take. In this study, we designed storyboards for scenarios where teachers, students and AI co-orchestrate dynamic pairing when using AI-based adaptive math software for individual and collaborative learning. We surveyed 54 math teachers on their co-orchestration preferences. We found that teachers would like to share control with the AI to lessen their orchestration load. As well, they would like to have the AI propose student pairs with explanations, and identify risky proposed pairings. However, teachers are hesitant to let the AI auto-pair students even if they are busy, and are less inclined to let AI override teacher-proposed pairing. Our study contributes to teachers’ needs, preference, and boundaries for how they want to share the task and control of student pairing with the AI and students, and design implications in human-AI co-orchestration tools.

Keywords

  • Classroom
  • Human-AI collaboration
  • CSCL
  • HCI
  • Design orchestration tools

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Notes

  1. 1.

    N refers to the number of teachers’ comments.

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Acknowledgement

This work was supported in part by Grant #1822861 from the National Science Foundation (NSF). Any opinions presented in this article are those of the authors and do not represent the views of the NSF. We thank all participating teachers and the anonymous reviewers.

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Correspondence to Kexin Bella Yang .

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Yang, K.B., Lawrence, L., Echeverria, V., Guo, B., Rummel, N., Aleven, V. (2021). Surveying Teachers’ Preferences and Boundaries Regarding Human-AI Control in Dynamic Pairing of Students for Collaborative Learning. In: De Laet, T., Klemke, R., Alario-Hoyos, C., Hilliger, I., Ortega-Arranz, A. (eds) Technology-Enhanced Learning for a Free, Safe, and Sustainable World. EC-TEL 2021. Lecture Notes in Computer Science(), vol 12884. Springer, Cham. https://doi.org/10.1007/978-3-030-86436-1_20

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