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  5. Building a Framework for AI in Counselor Training: A Delphi Study
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Building a Framework for AI in Counselor Training: A Delphi Study

Date Issued
August 1, 2025
Author(s)
Lange, Robert  
Advisor(s)
Joel F. Diambra
Additional Advisor(s)
Hyunhee Kim
Jennifer A. Morrow
Erin Binkley
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/21084
Abstract

The rapid advancement of Artificial Intelligence (AI), particularly Large Language Models (LLMs) like ChatGPT, has created new opportunities and challenges in counselor training. These technologies offer transformative potential in enhancing counselor education through personalized learning, simulation-based environments, and improved supervision practices. However, their integration raises ethical, practical, and pedagogical concerns, including issues of data privacy, algorithmic bias, and maintaining the humanistic principles central to the counseling profession. This study builds on a scoping review to examine AI’s role in counselor training and employs a Delphi methodology to gather expert consensus on the applications, challenges, and ethical considerations of AI integration. Panelists include counselor educators and researchers with expertise in technology and counselor education. Through an iterative, consensus-driven process, the study aims to develop actionable guidelines and strategies for leveraging AI effectively and ethically in counselor training. The findings will provide a framework to align AI innovations with the relational and humanistic values of the counseling field, offering direction for future research and implementation.

Subjects

Artificial Intelligen...

Disciplines
Counselor Education
Degree
Doctor of Philosophy
Major
Counselor Education
File(s)
Thumbnail Image
Name

Revised_Dissertation.docx

Size

255.32 KB

Format

Microsoft Word XML

Checksum (MD5)

05f7acfa928028b220b6884432f3ba4a

Thumbnail Image
Name

auto_convert.pdf

Size

888.09 KB

Format

Adobe PDF

Checksum (MD5)

e762b76219067912fc5fa6b956db9ff2


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