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

Aug 5, 2026

This manuscript introduces foundational concepts in artificial intelligence (AI) and machine learning (ML) for counselor educators and counseling researchers. It explains core AI/ML ideas and provides study examples using algorithms relevant to mental health and counseling. It then describes the general process of building an ML model, illustrated with a real-world dataset applicable to counseling practice. The work further offers curriculum suggestions and ethical considerations for educator and research use.

LanguageEnglish

CategoryTechnology

FormatPDF

Pages17

Reading Time43 min

AccessFree to download

Abstract

Significance to the Public

Foundational Concepts in AI and ML

Building an ML Model for Counseling

Curriculum Suggestions and Ethical Considerations

Keywords

Received, Revised, Accepted

Journal of Counselor Preparation and Supervision | Volume 19
Number 3 Artificial Intelligence in Counseling | Article 3 | | --- | --- | | 2025
Understanding Artificial Intelligence and Machine Learning: Foundational Concepts for Counselor Education
Eunae Han
University of Texas at El Paso, [dr.eunaehan@gmail.com](dr.eunaehan@gmail.com)
Jihoon Shin
University of Texas at El Paso, [jshin.leo@gmail.com](jshin.leo@gmail.com)
Follow this and additional works at: [https://research.library.kutztown.edu/jcps](https://research.library.kutztown.edu/jcps)
Part of the Counselor Education Commons, Mental Disorders Commons, Other Mental and Social Health Commons, Student Counseling and Personnel Services Commons, and the Substance Abuse and Addiction Commons | | Recommended Citation 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. This Article is brought to you for free and open access by Research Commons at Kutztown University. It has been accepted for inclusion in Journal of Counselor Preparation and Supervision by an authorized editor of Research Commons at Kutztown University. For more information, please contact [czerny@kutztown.edu](czerny@kutztown.edu). Understanding Artificial Intelligence and Machine Learning: Foundational Concepts for Counselor Education Abstract The purpose of this manuscript was to introduce key concepts in artificial intelligence (AI) and machine learning (ML) to counselor educators and counseling researchers. As AI continues to play an increasingly significant role in various fields, counseling professionals need to develop a foundational understanding of AI, including ML. The first section of this manuscript outlined basic concepts in AI and ML, with study examples that utilize specific algorithms in mental health and counseling-related fields. Next, the second section explained the general process of building an ML model, illustrating it with a real-world dataset example for counseling professionals. The manuscript also provided practical guidance for counselor educators and researchers, including curriculum suggestions and ethical considerations. Keywords Artificial Intelligence, Machine Learning, AI Ethics, Counselor Education This article is available in Journal of Counselor Preparation and Supervision: [https://research.library.kutztown.edu/](https://research.library.kutztown.edu/)[ ](https://research.library.kutztown.edu/)jcps/vol19/iss3/3 Understanding Artificial Intelligence and Machine Learning: Foundational Concepts for Counselor Education Eunae Han & Jihoon Shin Abstract Received: 02/12/25 Revised: 05/31/25 Accepted: 07/17/25 | The purpose of this manuscript was to introduce key concepts in artificial intelligence (AI) and machine learning (ML) to counselor educators and counseling researchers. As AI continues to play an increasingly significant role in various fields, counseling professionals need to develop a foundational understanding of AI, including ML. The first section of this manuscript outlined basic concepts in AI and ML, with study examples that utilize specific algorithms in mental health and counseling-related fields. Next, the second section explained the general process of building an ML model, illustrating it with a real-world dataset example for counseling professionals. The manuscript also provided practical guidance for counselor educators and researchers, including curriculum suggestions and ethical considerations. | | --- | | Significance to the Public | | This paper explains artificial intelligence (AI) and machine learning (ML) in a simple way for counselor educators and researchers. Since AI is becoming more common, it’s important for counseling professionals to understand the basics. The paper covers foundational concepts, gives research examples from mental health an

FAQs

What is the main goal of this manuscript for counselor educators?

To introduce key AI and ML concepts and build a foundational understanding that counselor educators and counseling researchers can apply in their work.

What topics are covered in the first section of the manuscript?

Basic concepts in AI and ML, along with study examples that use specific algorithms relevant to mental health and counseling-related fields.

How does the manuscript guide readers on creating an ML model?

It explains the general process of building an ML model and illustrates it with a real-world dataset example for counseling professionals, followed by practical guidance including ethics.

Aug 5, 2026

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