CLUSTER MECHANISMS FOR PREPARING STUDENTS FOR MODELING THE EDUCATIONAL ENVIRONMENT BASED ON ACADEMIC SUCCESS DIAGNOSTICS (ON THE EXAMPLE OF PRIMARY EDUCATION)
Authors
Ismadiyarova Umida Abduraxmon qizi ()Files
Abstract
This article examines cluster mechanisms for preparing university students to model the educational environment on the basis of academic success diagnostics, with particular attention to primary education. The study proceeds from the idea that the modern teacher must be able not only to organize lessons, but also to design a flexible, inclusive, data-informed and development-oriented educational environment. In this context, academic success diagnostics is interpreted as a pedagogical tool that helps identify learners’ cognitive progress, motivation, social adaptation, communication activity, independent learning skills and readiness for further development. The cluster approach makes it possible to integrate the resources of higher education institutions, primary schools, methodological centers, digital platforms, mentors and educational stakeholders into a single pedagogical system. Such integration strengthens the practical orientation of teacher training and creates conditions for students to master diagnostic, analytical, predictive and modeling competencies. The article emphasizes that future primary school teachers should learn to transform diagnostic results into pedagogical decisions, individual learning trajectories, corrective activities and developmental tasks. The proposed approach is relevant for improving the quality of pedagogical education in Uzbekistan, where primary education is increasingly connected with competence-based learning, digital transformation and the need to ensure continuity between theoretical preparation and school practice.
References
1.Akhmedov, M., & Abduvaliyeva, D. (2021). Boshlang‘ich ta’limda o‘quvchilarning bilish faoliyatini rivojlantirish metodikasi. Fan va texnologiya.
2.Biggs, J., & Tang, C. (2011). Teaching for quality learning at university. Open University Press.
3.Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education: Principles, Policy & Practice, 5(1), 7–74.
4.Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Harvard University Press.
5.Bruner, J. S. (1966). Toward a theory of instruction. Harvard University Press.
6.Darling-Hammond, L. (2017). Teacher education around the world: What can we learn from international practice? European Journal of Teacher Education, 40(3), 291–309.
7.Dewey, J. (1938). Experience and education. Macmillan.
8.Hattie, J. (2009). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge.
9.Inoyatov, U. I., & Muslimov, N. A. (2012). Pedagogika: 1000 ta savolga 1000 ta javob. Ilm-Ziyo.
10.Ishmuhamedov, R. J., Yuldashev, M. A., & Abduqodirov, A. A. (2008). Ta’limda innovatsion texnologiyalar. Iste’dod.
11.Khodjayev, B. X. (2017). Umumiy pedagogika nazariyasi va amaliyoti. Sano-Standart.
12.Muslimov, N. A., Usmonboyeva, M. H., Sayfurov, D. M., & To‘rayev, A. B. (2015). Innovatsion ta’lim texnologiyalari. Sano-Standart.
13.Piaget, J. (1952). The origins of intelligence in children. International Universities Press.
14.Popham, W. J. (2008). Transformative assessment. Association for Supervision and Curriculum Development.
15.Shavelson, R. J. (2007). A brief history of student learning assessment: How we got where we are and a proposal for where to go next. Association of American Colleges and Universities.
16.Stiggins, R. J. (2005). Student-involved assessment for learning. Pearson.
17.Tashpulatov, T. M., & Gafforova, T. A. (2019). Boshlang‘ich ta’lim pedagogikasi va innovatsion metodlar. Tafakkur.
18.Turg‘unov, S. T., & Maqsudova, L. A. (2018). Pedagogik jarayonlarni tashkil etish va boshqarish. Fan.
19.Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
20.Yuldashev, J. G., & Usmonov, S. A. (2004). Pedagogik texnologiya asoslari. O‘qituvchi.
Details
License
Copyright (c) 2026 Omega Journal of Interdisciplinary Research and Development
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
