What question did this study set out to answer?

To develop a model of teacher-AI complementarity that defines interactions and tasks at a detailed level in education.

March 5, 2026Open Access

Initial model of teacher-AI complementarity

Key Points

To develop a model of teacher-AI complementarity that defines interactions and tasks at a detailed level in education.
Developed a model based on observable actions within pedagogical tasks.
Analyzed the roles of teachers and AI in these tasks.
Examined information flow between teacher and AI.
Outlined the skills and knowledge required for task performance.
Identified specific pedagogical tasks where complementarity is observable.
Detailed how actions of teachers and AI are interconnected.
Clarified the granular roles of teachers in relation to AI capabilities.

Abstract

Deliverable 1.1 (D1.1) of the TAICo (Teacher-AI Complementarity) project presents the first version of the TAICo Workpackage 1 (WP1) teacher-AI complementarity model. The deliverable specifies how complementarity becomes observable at the level of pedagogical tasks. The model is grounded in the idea that complementarity becomes observable only when we describe teacher work at sufficient granularity: actions within pedagogical tasks, who performs them, how information flows between teacher and AI, and which skills and knowledge are required to perform those actions.

Initial model of teacher-AI complementarity

Key Points

Abstract

Cite This Study