Initial model of teacher-AI complementarity

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Authors: Ann-Christin Falhs, Nikol Rummel, Anne‐Wil Kramer, Inge Molenaar, Paraskevi Topali, Tobias Ley
Cited by: 0

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.

Fields of Study & Subjects

Artificial Intelligence in Education Intelligent Tutoring Systems and Adaptive Learning Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
28 February 2026
Language
EN