AI SYSTEM FOR CAREER GUIDANCE IN THE FIELD OF 3D GRAPHICS
DOI:
https://doi.org/10.28925/2663-4023.2025.31.1065Keywords:
3D graphics, monitoring, analytics, AI system, chatbot, career guidance, competencies; modelling, modellingAbstract
The article studies the mismatch between the level of educational training of students in the field of 3D graphics and the current requirements of the labour market, which is characterised by high dynamism, constant updating of tools and a transition to a skill-based hiring model. It has been established that educational programmes do not always manage to adapt to technological changes, as a result the students and young professionals face difficulties in professional self-identification and a lack of analytics regarding current competencies. This raises the question of developing specialised AI chatbots capable of combining labour market analysis with educational and career recommendations. The aim of the study was to identify the educational and professional needs of students, young professionals and teachers in the field of 3D graphics as a prerequisite for developing a prototype AI chatbot. The empirical study, involving 34 respondents, consisted of several consecutive stages: identifying the needs of the target audience; clarifying expectations and forming functional tasks; developing and pilot testing an AI chatbot prototype; obtaining feedback and outlining ways to develop the system. Pilot testing confirmed its usefulness for searching for vacancies and obtaining basic labour market analytics, but at the same time, it revealed the need to improve personalisation mechanisms, expand the vacancy database, integrate with online courses, etc. The results obtained confirm the feasibility of creating a specialised AI chatbot as a means of career guidance and educational support. They also contribute to the updating of educational programmes in line with industry requirements. At this stage, the prototype is in the phase of improving its functional capabilities. Prospects for further research have been identified, including improving the personalisation of recommendations, expanding the job database, integrating with online courses, etc.
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