AI & Machine Learning Foundations for Counselor Education

Understanding Artificial Intelligence and Machine Learning: Foundational Concepts for Counselor Education

Organization: Journal of Counselor Preparation and Supervision
Role: Co-Author
Project Period: August-September 2025
Publication: Han, E. & Shin, J. (2025). Understanding Artificial Intelligence and Machine Learning: Foundational Concepts for Counselor Education. Journal of Counselor Preparation and Supervision, 19(3), 1-15. http://dx.doi.org/10.70013/7b5l47yn

Overview
Co-authored a peer-reviewed publication introducing foundational concepts of artificial intelligence (AI) and machine learning (ML) for counselor educators, supervisors, and counseling students. The article translates technical AI/ML concepts into accessible language and demonstrates how emerging technologies may influence counselor education, training, and research.

Key Contributions

  • Co-developed an interdisciplinary framework explaining core AI and machine learning concepts for counselor education audiences.
  • Provided applied examples demonstrating how AI/ML approaches can support counseling research and training.
  • Presented the work as an Education Session at the Association for Assessment and Research in Counseling (AARC) 2025 conference.
  • Recognized by the Association for Counselor Education and Supervision (ACES) as one of the most accessed articles of 2025, featured in the ACES Newsletter (December 23, 2025).