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
Harnessing AI in Education: Balancing Innovation with Human-Centric Teaching
TAICo addresses AI’s impact on education by balancing automation with human-centric teaching. Amid Europe’s teacher shortage and lifelong learning demands, it aligns AI with human skills for inclusive growth. Engaging 200+ educators, it develops evidence-based guidelines for educators, policymakers, and EdTech.
AI’s Impact on Education
The rapid rise of AI is transforming teaching, automating tasks, and enhancing educators’ capabilities. However, unregulated AI use may widen skill gaps and weaken the human-centered nature of education.
TAICo’s Role in Shaping the Future
With Europe’s teacher shortage and growing lifelong learning needs, TAICo aligns AI with human skills for inclusive growth. By engaging 200+ educators, it develops evidence-based guidelines for teachers, policymakers, and EdTech leaders.
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.
