keyword, base dictionary , reference word , induction step , tree model


The importance of this research topic lies in the need to gather, store, analyze and disseminate accurate information on the management status of educational institutions to guarantee the provision of quality educational services. This is particularly crucial in the current trend towards digitalizing educational work and utilizing the internet to facilitate practical management tasks. The study aims to construct a case method model to supervise educational process management outcomes. For that purpose, the study scrutinises the implementation methodologies of existing case models to monitor and analyse the situation without human intervention. Also, the investigation entails creating an implementation algorithm and a simulation model of an interactive case method to monitor educational activities. The formalized logical-semantic apparatus is used to address the research problems. The algorithm development and simulation modeling enabled correlation of the obtained answer with the assigned task, automating the results output. Generating answers in the case method involves considering rules based on the base word, answer keywords, and constraints (true/false). These elements are part of the thesaurus specific to the survey domain and are included in the test's base vocabulary. To test an answer against a question, each inductive step is viewed through a logical formula. Logical statements such as conjunction, disjunction, logical negation, implication, and equivalence are represented by formulas. This method enables the evaluation of the respondent's answer based on the nodes within the statement tree integrated into the test. The progression from the initial word to the node-connection generates an automated assessment of individual educational process management standards. This study enables the enhancement of automated monitoring capabilities for the University's educational process results. The research suggests the potential for developing models and algorithms to form question sets and enable individualized assessments based on the respondent's performance. As a consequence, the devised algorithm and simulation model for the interactive case approach are showcased.  During the testing, the key words and example words were compared with the responses of the participants and specific results were obtained. Additional case vocabulary terms need to be added to address the limitations encountered during the model testing and the testing period.


Bridgman, T., Cummings, S.,  McLaughlin, C. (2016). Restating the case: How revisiting the development of the case method can help us think differently about the future of the business school. Academy of Management Learning & Education, 15(4), 724–741.

IEEE Standards (2019). ISO/IEC/IEEE 15289:2019 Systems and software engineering Content of life-cycle information items (documentation). IEEE Standards Association, 74909, pp. 1–73.

Duvivier, R. J. (2019). How to ‘future-proof’ the use of space in universities by integrating new digital technologies. Perspectives: Policy and Practice in Higher Education, 23(1), 18-23.

Ellis, R. A., & Goodyear, P. (2016). Models of learning space: Integrating research on space, place and learning in higher education. Review of Education, 4(2), 149-191.

Blundell, C., Lee, K. T., & Nykvist, S. (2020). Moving beyond enhancing pedagogies with digital technologies: Frames of reference, habits of mind and transformative learning. Journal of Research on Technology in Education, 52(2), 178–196.

Francom, G. M. (2020). Barriers to technology integration: A timeseries survey study. Journal of Research on Technology in Education, 52 (1), 1–16.

Vitoria, L., Mislinawati, M., & Nurmasyitah, N. (2018). Students’ perceptions on the implementation of e-learning: Helpful or unhelpful? Journal of Physics: Conference Series, 1088, p. 012058.

Baig, M. I., Shuib, L., & Yadegaridehkordi, E. (2020). Big data in education: a state of the art, limitations, and future research directions. International Journal of Educational Technology in Higher Education, 17(1), 1–23.

Bernard, R. M., Abrami, P. C., Borokhovski, E., Wade, C. A., Tamim, R. M., Surkes, M. A., Bethel, E. C. (2009). A meta-analysis of three types of interaction treatments in distance education. Review of Educational research, 79(3), 1243-1289.

Gorman, A., & Hall, K. (2023). Exploring the impact of an online learning community to support student teachers on school placement. European Journal of Teacher Education, 1-17.

Sánchez-Tarazaga, L., Sanahuja Ribés, A., Ruiz-Bernardo, P., & Ferrández-Berrueco, R. (2023). Social competences in pre-service education: what do future secondary teachers think? Journal of Education for Teaching, 1-15.

Semashko, O. V. (2022). Use of the case-method in the electronic educational environment of distance learning. Diversifikaciya pedagogicheskogo obrazovaniya v usloviyah razvitiya informacionnogo obshchestva: materialy mezhdunar. nauch.-prakt. konf., posvyashch. 100-letiyu Belorus. gos. un-ta, 445-450.

Assunção Flores, M., & Gago, M. (2020). Teacher education in times of COVID-19 pandemic in Portugal: National, institutional and pedagogical responses. Journal of Education for Teaching, 46(4), 507-516.

Zheng, M., & Bender, D. (2019). Evaluating outcomes of computer-based classroom testing: Student acceptance and impact on learning and exam performance. Medical Teacher, 41(1), 75–82.

Hew, K. F., Jia, C., Gonda, D. E., & Bai, S. (2020). Transitioning to the “new normal” of learning in unpredictable times: pedagogical practices and learning performance in fully online flipped classrooms. International Journal of Educational Technology in Higher Education, 17(1).

Amirbekova, A. B., Talgatkyzy, G., Urakova, L., Gabitkhan, K.,  Abdrahman M. (2022). Ways of effective use of language internet resources by the case study method. Bulletin the National academy of sciences of the Republic of Kazakhstan, (2), 30–43.

Sooriamurthi, R. (2018). Introducing big data analytics in high school and college. Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, 373–374.

Luk, R. W. P. (2022). Why is information retrieval a scientific discipline? Foundations of Science, 27(2), 427–453.

Jung, H., Cui, X., Kim, H. L., Li, M., Liu, C., Zhang, S., ... & You, H. (2022). Development of an ergonomic user interface design of calcium imaging processing system. Applied Sciences, 12(4), 1877.

Duckett, J. (2018). HTML и CSS. Desing and Build Websites. Wiley.

Cormen, T. H., Leiserson, C. E., Rivest, R. L.,  Stein C. (2022). Introduction to Algorithms. MIT Press.

Michalak, M. P., Kuzak, R., Gładki, P., Kulawik, A., & Ge, Y. (2021). Constraining uncertainty of fault orientation using a combinatorial algorithm. Computers & Geosciences, 154, 104777.




How to Cite

Zunimova, G., Soltan, G., Likhacheuski, D., Ismailova, A., & Issayeva, N. (2023). DEVELOPMENT OF A MODEL FOR IMPLEMENTING A CASE METHOD FOR INTERACTIVE STUDY PROCESS MANAGEMENT MONITORING. Scientific Journal of Astana IT University, 16(16).



Information Technologies