Teacher-AI Complementarity (TAICo)

The project addresses a pressing challenge at the intersection of education and technology: how to ethically and effectively integrate Artificial Intelligence (AI) into educational settings to complement and enhance the teaching profession.

Teacher-AI Integration

Ethical Education

Complementary Skills

AI in Education

Methodology

The project employs a multidisciplinary, participatory methodology, structured into two research strands (experimental and design-based) and informed by comprehensive stakeholder engagement.

Theoretical Framework and Initial Model

At the core of TAICo is the hybrid intelligent system model (Figure 1), which conceptualizes teacher-AI interactions across three dimensions: task, skill, and job levels. This model factors in teacher characteristics, AI system properties, deployment conditions, and broader job contexts, providing a framework for designing and evaluating teacher-AI complementarity.

Figure 1: The initial Teacher-AI Complementarity Model used in the project
Figure 1: The initial Teacher-AI Complementarity Model used in the project

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