Presentation Schedule
Artificial Intelligence Assisted Counseling to Support Student Careers (Study Literature Review 2019-2024) (80072)
Session Chair: Stephanie Furuta
Wednesday, 30 October 2024 16:45
Session: Session 3
Room: Room 108
Presentation Type:Oral Presentation
Artificial Intelligence (AI) brings significant transformation to various sectors, including education and career counseling. This literature review study aims to evaluate and analyze the development and application of AI in student career counseling from 2019 to 2024.
This review analyzes scientific publications, including journal articles, conferences, and research reports related to the use of AI in career counseling. Systematic analysis methods are used to extract and synthesize findings from relevant literature in supporting and improving career counseling services for students.
The findings of the use of AI in career counseling show significant improvements in providing personalized services and accurate career predictions. AI has developed tools such as chatbots, career recommendation systems, and data analysis platforms to help students identify student interests and career potential. the study also highlights several challenges, including data security issues, the need for human intervention for complex cases, and ethical issues related to the use of AI.
This review identified that the integration of AI in career counseling offers a variety of benefits, including efficiency, accessibility, and deep data analysis capabilities. However, a balanced approach is needed, AI technology is integrated with the expertise of human counselors to provide a holistic and ethical service.
This literature study confirms the potential of AI as a supporting tool in career counseling, but its implementation must be balanced with a deep understanding of human and ethical aspects. It is hoped that this collaboration can create a more effective, responsive and adaptive career counseling ecosystem for students in the future.
Authors:
Arizona Arizona, State University of Malang, Indonesia
Fattah Hanurawan, Universitas Negeri Malang, Indonesia
Nur Hidayah, Universitas Negeri Malang, Indonesia
Muslihati Muslihati, Universitas Negeri Malang, Indonesia
Heny Kusdiyanti, Universitas Negeri Malang, Indonesia
About the Presenter(s)
DR. Arizona, Malang State University Doctoral student, my research focus is social anxiety
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