Leveraging AI for Career Guidance Platform: A Stepwise Journey of Lifelong Learners
DOI:
https://doi.org/10.33830/ptjj.v26i2.13869.2025Keywords:
Career guidance platform, work-based learning, personalized career advice, artificial intelligence, ICE InstituteAbstract
A career guidance platform is a digital tool designed to help individuals make informed educational and occupational choices. By leveraging advanced technologies like Artificial Intelligence (AI) and machine learning, such a platform will provide data-driven insights that deliver tailored recommendations based on an individual’s skills, learning records, interests, goals, and the market demand of their occupational choice. It can also help users identify suitable career options, develop necessary skills, and effectively plan their career trajectories. It can provide rich services beyond typical features of career assessments, job matching, resume building, interview preparation, and access to career coaches or mentors.
AI can be used to analyze individual profiles, including skills, interests, and career goals, to provide customized recommendations and action plans. It can bring engaging interactive sessions with AI-powered career coaches, participate in career quizzes, and receive feedback on their resumes and cover letters. Practical features such as job interview simulations and day-in-the-life experiences for various professions will help users make informed decisions about their career paths. Furthermore, by integrating it with a vast amount of data from the Internet or other data sources, it will enable the ability to offer real-time and adaptive guidance for exploring career choices. Making such a platform accessible to a wide range of users, from students to professionals seeking career shifts, will change the way people plan and advance their careers. It provides a cost-effective alternative to traditional career coaching, offering expert advice at a fraction of the cost.
This study elaborates on the journey of the Indonesia Cyber Education Institute (ICE Institute) in establishing its next-generation career guidance platform. Employed Design Science Research Methodology, a research paradigm focusing on the development and validation of prescriptive knowledge, the study highlights the approach to achieving the goal by breaking it down into a series of manageable steps. It includes a key decision-making approach that leverages advanced technologies such as AI and machine learning, systematically planned and carefully executed to ensure systematic progress and effective outcomes.
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Copyright (c) 2025 Rahayu Dwi Riyanti, Hasan Haliman, Johan Santri, Marito Garcia, Haemiwan Z. Fathony, Randeep Sudan, Akhmad S. Bakhry, Intan Saylindri, Devina F. Wibowo
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