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

Authors

Kexin Bella Yang, Carnegie Mellon UniversityFollow
LuEttaMae Lawrence, Utah State UniversityFollow
Vanessa Echeverría, Escuela Superior Politécnica del Litoral ESPOL
Boyuan Guo, Carnegie Mellon University
Nikol Rummel, Ruhr-Universität Bochum
Vincent Aleven, Carnegie Mellon University

Document Type

Conference Paper

Journal/Book Title/Conference

Lecture Notes in Computer Science

Volume

12884

Publisher

Springer

Publication Date

9-9-2021

First Page

260

Last Page

274

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.

Comments

This version of the contribution has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-030-86436-1_20. Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms

Recommended Citation

Yang, K.,Lawrence, L., Echeverria, V., *Guo, B., Holstein, K., Rummel, K., & Aleven, V. (2021). Surveying Teachers’ Preferences and Boundaries Regarding Human-AI Control in Dynamic Pairing of Students for Collaborative Learning.In Technology-Enhanced Learning for a Free, Safe, and Sustainable World: 16th European Conference on Technology Enhanced Learning, EC-TEL 2021, Bolzano, Italy, September 20–24, 2021, Proceedings (pp. 260-274). Springer Nature, Cham.