Human-AI Co-Agency for Competency-Based Talent Development: A Framework Integrating Creativity, Cognitive Skills, and...

Area of Science:

• Education
• Artificial Intelligence
• Cognitive Science

Background:

• Generative AI (GenAI) integration in education is tool-centric, lacking theoretical grounding.
• Current GenAI applications in education do not fully leverage cognitive and intelligence theories for talent development.
• There is a need for a human-centered framework to synergize human and AI capabilities in education.

Purpose of the Study:

• Introduce the Human-AI Co-Competency Framework for Education (HACC-E).
• Promote synergistic development of creativity and cognitive intelligence through a human-centered, mastery-driven model.
• Position AI as a cognitive amplifier supporting higher-order reasoning and problem-solving.

Main Methods:

• Design science research methodology.
• Integration of competency-based progression, AI-augmented formative feedback, and simulation-based experiential learning.
• Governance structure ensuring human oversight and ethical accountability.

Main Results:

• The HACC-E framework aligns fluid reasoning, systems thinking, creative ideation, emotional regulation, and collaborative intelligence.
• Analytical validation confirmed pedagogical coherence, measurable competency mapping, and mitigation of AI-related risks like automation bias.
• Operationalized distributed human-AI agency within a mastery-based progression architecture.

Conclusions:

• HACC-E offers a theoretically grounded approach to AI-enabled talent development.
• The framework provides a scalable and ethically robust model for cultivating cognitive, creative, and socio-emotional intelligence.
• Contributes to human-centered AI discourse for future-ready educational systems.