Artificial Intelligence Training for Guidance and Counseling at Purbalingga Regency
DOI:
https://doi.org/10.35746/bakwan.v6i1.1019Kata Kunci:
Artificial Intelligence, Counseling, Human Intelligence, Large Language Models, Purbalingga RegencyAbstrak
This report presents the results of the Artificial Intelligence (AI) Training for Guidance and Counseling in Purbalingga Regency. The training was divided into two sessions. The first session taught participants the basics of AI, such as how machines can mimic human intelligence by recognizing patterns, processing data, making predictions, and providing recommendations. The second session focused on how to use AI in guidance and counseling services. The material covered ethics and how to use Large Language Models (LLM) as an aid. It also explained how to use prompting techniques in LLM to formulate effective questions. The results of community service activities show that the Introduction to Artificial Intelligence Training in Guidance and Counseling Services successfully gave GC teachers a basic understanding of AI and how it can be used in GC services in schools. The introductory AI material and the use of AI prompting in Guidance and Counseling services helped participants understand how AI can be used to make things work better and faster. AI can help with making service materials, tests, program designs, educational media, reflective questions, and reports on GC activities. But AI must still follow ethical rules, keep student data private, make sure information is correct, and follow the professional duties of guidance and counseling teachers. AI cannot take the place of guidance and counseling teachers when it comes to showing empathy, understanding students' situations, and making decisions about services. Based on the evaluation of community service activities, an average pre-test score of 28.4 was obtained, indicating that guidance and counseling teachers' understanding of the basic concepts of Artificial Intelligence, the use of AI in guidance and counseling services, the ethical use of AI, and student data security was still in the fair category. Following the training and practical use of AI, the average post-test score increased to 42.1, categorized as very good.
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Hak Cipta (c) 2026 Abednego Dwi Septiadi, Yudha Islami Sulistya, Faisal Dharma Adhinata, Gita Fadila Fitriana
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