[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-127317-en":3,"doc-seo-127317-105":31,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},127317,962085570644,"Evangeline","https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d",6,"Technology","Understanding Artificial Intelligence and Machine Learning: Foundational Concepts for Counselor Education","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.","Journal of Counselor Preparation and Supervision  \n\n| Volume 19\u003Cbr>Number 3 Artificial Intelligence in Counseling | Article 3 |\n| --- | --- |\n| 2025\u003Cbr>Understanding Artificial Intelligence and Machine Learning: Foundational Concepts for Counselor Education\u003Cbr>Eunae Han\u003Cbr>University of Texas at El Paso, [dr.eunaehan@gmail.com](dr.eunaehan@gmail.com)\u003Cbr>Jihoon Shin\u003Cbr>University of Texas at El Paso, [jshin.leo@gmail.com](jshin.leo@gmail.com)\u003Cbr>Follow this and additional works at: [https://research.library.kutztown.edu/jcps](https://research.library.kutztown.edu/jcps)\u003Cbr> 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 |  |\n\nRecommended Citation  \nHan, 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.  \nThis 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).  \nUnderstanding Artificial Intelligence and Machine Learning: Foundational Concepts for Counselor Education  \nAbstract  \nThe 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.  \nKeywords  \nArtificial Intelligence, Machine Learning, AI Ethics, Counselor Education  \nThis 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  \nUnderstanding Artificial Intelligence and Machine Learning: Foundational Concepts for Counselor Education  \nEunae Han & Jihoon Shin  \nAbstract  \nReceived: 02/12/25  \nRevised: 05/31/25  \nAccepted: 07/17/25  \n\n| 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. |\n| --- |\n| Significance to the Public |\n| 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","cbCaivUHmEEdYGeC","https://ap.wps.com/l/cbCaivUHmEEdYGeC","pdf",470231,2,1,17,"English","en",105,"# Abstract\n# Significance to the Public\n## Foundational Concepts in AI and ML\n## Building an ML Model for Counseling\n## Curriculum Suggestions and Ethical Considerations\n# Keywords\n# Received, Revised, Accepted","[{\"question\":\"What is the main goal of this manuscript for counselor educators?\",\"answer\":\"To introduce key AI and ML concepts and build a foundational understanding that counselor educators and counseling researchers can apply in their work.\"},{\"question\":\"What topics are covered in the first section of the manuscript?\",\"answer\":\"Basic concepts in AI and ML, along with study examples that use specific algorithms relevant to mental health and counseling-related fields.\"},{\"question\":\"How does the manuscript guide readers on creating an ML model?\",\"answer\":\"It 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