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.

1. Barnes, L.B., Christensen, R.K., & Hansen, A.J. (2000). Teaching and the Case Method: Text, Cases, and Readings. Moscow: Delo. [In Russian]

2. Belysh, K.V. (n.d.). Methodological Tools for the Implementation and Functioning of Lean Production at an Industrial Enterprise (PhD Thesis in Economics). [Electronic resource]. URL: https://elar.urfu.ru/bitstream/10995/68402/1/urfu1961d.pdf (accessed: 25.04.2025). [In Russian]

3. Illustrated SPSS Tutorial. [Electronic resource]. URL: https://www.datuapstrade.lv/rus/spss/ (accessed: 05.05.2025). [In Russian]

4. Kulikov, V.P. (2023). On Ensuring Information Support for Decision-Making. In Modern Trends in Physical and Mathematical Education: School - University (Proc. of Int. Scientific-Practical Conf.). Solikamsk: SGPI. [In Russian]

5. Kulikova, V.P. (2006). Data Analysis and Processing in Information Systems (First Level): Textbook. - Petropavlovsk: M. Kozybayev NKSU. [In Russian]

6. Kulikov, V.P., & Kulikova, V.P. (2023). Practice of Information Support for Decision-Making: Textbook. - Petropavlovsk: M. Kozybayev NKSU. [In Russian]

7. Kulikov, V.P., Kulikova, V.P., & Kukharenko, E.V. (2019). Case-Study in Modeling Processes and Systems. - Petropavlovsk: Institute for Advanced Studies, M. Kozybayev NKSU. [In Russian]

8. Kulikov, S. (2024). Software Testing. Basic Course. Book Version 3.2.6 of 24.05.2024. [Electronic resource]. URL: https://svyatoslav.biz/software testing book download/ (accessed: 25.04.2025). [In Russian]

9. Peryashkina, A.A., Trifanova, A.A., & Barabashkina, E.V. et al. (2022). Essence and Basis of CaseTechnology in Professional Education. Psychology, Sociology and Pedagogy, (2). [Electronic resource]. URL: https://psychology.snauka.ru/2022/08/8676 (accessed: 25.04.2025). [In Russian]

10. Russell, S., & Norvig, P. (2023). Artificial Intelligence: A Modern Approach (4th ed.). - Moscow: Williams. [In Russian]

11. Saaty, T.L. (1993). Decision Making. The Analytic Hierarchy Process (translated from English). - Moscow: URSS. [In Russian]

12. Arrow, K.J. (2004). Social Choice and Individual Values (translated by Yu.M. Yanovskaya). - Moscow: HSE Publishing House. [In Russian]

13. Agresti, A. Statistical Methods for the Social Sciences. - 5th ed. - Pearson, 2018. - 568 p.

14. Apple. TestFlight | Official Site [Электронный ресурс]. - URL: https://developer.apple.com/testflight/ (дата обращения: 25.04.2025).

15. Benyon, D. Designing User Experience: A Guide to HCI, UX and Interaction Design. - 4th ed. - Harlow, England: Pearson Education, 2019. - 628 p.

16. Google. System Services Public Beta Program [Электронный ресурс]. - URL: https://developers.google.com/android/guides/beta-program (дата обращения: 25.04.2025).

17. Howse, J., Minichino, J. Learning OpenCV 5 Computer Vision with Python. - 4th ed. - O’Reilly: Packt Publishing, 2024. - 282 p.

18. ISO/IEC 25010:2011. Системная и программная инженерия. Требования к качеству и оценка (SQuaRE). Модели качества систем и программного обеспечения [Электронный ресурс]. - Женева: ISO, 2019. - URL: http://gost.gtsever.ru/Data/600/60038.pdf (дата обращения: 25.04.2o25).

19. ISO/IEC 9126-1:2001. Информационная технология. Оценка программной продукции. Характеристики качества и руководства по их применению [Электронный ресурс]. - Минск: ISO, 2006. - URL: https://files.stroyinf.ru/Data2/1/4293737/4293737267.pdf (дата обращения: 25.04.2025).

20. ISO/IEC 9241-110:2016. Эргономика взаимодействия человек-система. Ч. 110. Принципы организации диалога [Электронный ресурс]. - М.: Стандартинформ, 2016. - URL: https://rosgosts.ru/file/gost/13/180/gost_r_iso_9241-110-2016.pdf (дата обращения: 25.04.2025).

21. Jenkins. Official Site [Электронный ресурс]. - URL: https://www.jenkins.io (дата обращения: 25.04.2025).

22. Kan, S. H. Metrics and Models in Software Quality Engineering. - 2nd ed. - Addison-Wesley, 2003. - 564 p.

23. Microsoft. Use the Analysis ToolPak to Perform Complex Data Analysis [Electronic resource]. - URL: https://support.microsoft.com/en-us/office/use-the-analysis-toolpak-to-perform-complex-dataanalysis-6c67ccf0-f4a9-487c-8dec-bdb5a2cefab6 (дата обращения: 05.05.2025).

24. Staiano, F. Designing and Prototyping Interfaces with Figma. - Birmingham: Packt Publishing, 2022. - 365p.