Journal of Counselor Preparation and Supervision
Author ORCID Identifier
https://orcid.org/0000-0003-1350-0234
Document Type
Article
Keywords
artificial intelligence, artificial intelligence literacy, counselor education, developmental framework, professional identity
Subject Area
Counselor Education
Abstract
Artificial intelligence (AI) is transforming counselor education, yet frameworks for preparing counselors-in-training (CITs) to use AI remain limited. This article introduces the developmental AI literacy framework (DALF), a conceptual model integrating developmental theory, professional identity formation, and AI literacy. The DALF reframes AI literacy as a developmental competency comprising intentional AI use, critical evaluation, ethical engagement, and awareness of professional identity. The framework outlines three stages, including foundational awareness, reflective application, and integrated professionalization, that parallel CITs’ growth from dependence to autonomy. Pedagogical, developmental, and research implications are provided to guide ethical and reflective AI integration in counselor education.
Public Significance Statement
This article introduces a developmental framework that explains how counselors-in-training build AI literacy as they advance through their training. By outlining clear stages of growth, from basic awareness to professional integration, this framework can help counselor education programs design developmentally appropriate curricula, supervision practices, and training experiences that support ethical, reflective, and confident use of AI in counseling practice.
Recommended Citation
Gonzalez Jr., L. (2026). Artificial intelligence literacy in counselor education: The developmental AI literacy framework. Journal of Counselor Preparation and Supervision, 20(1), 1-12.
Included in
Counselor Education Commons, Mental Disorders Commons, Other Mental and Social Health Commons, Student Counseling and Personnel Services Commons, Substance Abuse and Addiction Commons
