Integration of AI and decision support systems in interdisciplinary training of it specialists: a case-based approach to direct manipulation interface design

This article explores the integration of artificial intelligence (AI) and decision support systems (DSS) into the interdisciplinary education of IT specialists. The focus is on the development and testing of direct manipulation interfaces through a case-based learning project conducted as part of a practice-oriented educational initiative. The study combines methods of user interface design, software metrology, and DSS technologies. It also incorporates elements of user experience analysis using digital tools and collective expert evaluation. Project participants completed all stages of digital product creation: selection and modeling of building and structure objects, development of user scenarios, creation of test cases, interface visualization, and construction of expert evaluation models. Methods for opinion alignment, preference aggregation, and interface quality criteria analysis were applied. Special emphasis was placed on the use of AI for automated analysis and generation of user solutions. The results of the case study were applied in the experimental part of the research, aimed at evaluating the effectiveness of an interdisciplinary approach in IT education. The findings demonstrate the practical applicability of AI and DSS in educational contexts, contribute to the development of professional competencies, and deepen understanding of interface design processes. The article concludes with an analysis of prospects for integrating similar case studies into ICT education within the framework of project-based learning using modern digital technologies.