Document Type
Article
Publication Title
KOS Journal of AIML, Data Science, and Robotics
Abstract
This editorial examines the integration of human-computer intelligent interaction (HCII), specifically through human-centered artificial intelligence (AI) and custom-trained intelligent agents, to foster metacognitive competencies critical for workforce upskilling. With 59% of the workforce projected to require substantial upskilling by 2030, developing personalized AI models tailored to individual cognitive and learning profiles presents an innovative pathway. These custom-trained agents leverage human-computer interaction (HCI) technologies and machine learning methodologies to enhance understanding of one’s own learning processes-metacognition-thus empowering individuals to optimize their future learning and adaptability. This approach not only enhances the individual’s ability to engage effectively with complex tasks in the workplace but also supports lifelong learning strategies mandated by contemporary labor markets. The editorial synthesizes current research findings and theoretical frameworks to explore the transformative potential of AI-driven metacognitive training in education and industry, proposing future directions and considerations for widespread implementation.
Publication Date
4-2025
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Hutson, James, "Enhancing Metacognitive Competencies through Human-Centered AI: The Role of Custom-Trained Intelligent Agents in Workforce Upskilling" (2025). Faculty Scholarship. 732.
https://digitalcommons.lindenwood.edu/faculty-research-papers/732