×
Home Current Archive Editorial board
News Contact
Original scientific article

DESIGNING THE EDUGROWTH MODEL TO OPTIMIZE STUDENT SUCCESS AND ACADEMIC PERFORMANCE

By
Najmitdinov Akhadkhon Khamitdkhanovich Orcid logo ,
Najmitdinov Akhadkhon Khamitdkhanovich

Turan International University , Namangan , Uzbekistan

Ibragimov Ulmas Rakhmanovich Orcid logo ,
Ibragimov Ulmas Rakhmanovich

Turan International University , Namangan , Uzbekistan

Azizov Azizbek Sabitkhanovich Orcid logo ,
Azizov Azizbek Sabitkhanovich

Turan International University , Namangan , Uzbekistan

Dadajon Dadabayev Rustamovich Orcid logo ,
Dadajon Dadabayev Rustamovich

Turan International University , Namangan , Uzbekistan

Abdumutalliev Abdulakhad Abdusamad ugli Orcid logo
Abdumutalliev Abdulakhad Abdusamad ugli

Turan International University , Namangan , Uzbekistan

Abstract

The EduGrowth model will maximize student success and academic achievement through a combination of individualized learning approaches, student service, and student data-based decision-making. The paper discusses the main aspects of the model and its implementation in learning institutions. It emphasizes the need to customize learning strategies according to the needs of particular students, which creates a learning environment that encourages academic growth, interest, and success. The research literature covers past educational systems to evaluate the efficiency of the existing measures on enhancing student performance. Case studies in institutions that have applied the EduGrowth model are provided in the methodology, which is statistically analyzed to assess the improvements in the major academic indicators. The average GPFA improved by 12 %, the student retention rates improved by 17 % and the graduation rate improved by 15 %, after the implementation. Besides, it increased student engagement and participation by 20% and 25 %, respectively. The paper also explores the procedures involved in the implementation of the EduGrowth model, such as training of the educators, educational technology integration, and ongoing evaluation of the progress of students through the use of data analytics. The additional discussion covers the beneficial effect of individualized education and combined student support services on academic achievement. Evidence-based decision-making and the application of Learning Management Systems (LMS) and student performance analytics resulted in specific interventions that enhanced the performance of the students. The paper gives a systematic approach to the execution of the EduGrowth model and also offers evidence-based suggestions on how to improve the achievement of students. The results indicate that the EduGrowth model can significantly improve academic performance and overall success of students, as well as offer a lot of helpful information to teachers, policymakers, and institutions, though it should be appropriately implemented.

References

1.
Farizi S, Diana E. Optimizing Student Management in Improving Achievement and Shaping Student Character. FiTUA: Jurnal Studi Islam. 2025 Jun 30;6(1):70–9.
2.
Ramos MD, Nandan M, Porter K, Dyess SM. Enhancing Student Success in Higher Education: A Human-Centered Design Thinking Approach. Journal of Higher Education Theory and Practice. 2024 Apr 15;24(7).
3.
Narinesingh T. S-UDLCDTM Framework for Student SuccessTM, S-UDLCDTM ModelTM and Narinesingh Traffic Light ModelTM: A Data-Driven UDL Approach to Student Retention and Engagement in K-12 and Higher Education. Online Submission. 2023 Jun 15.
4.
Zeivots S, Wardak D, Cram A, Nash J. What co-design has taught us about transformative practice and academic development. InTransformative Practice in Higher Education.2025 (pp. 155-163). Routledge.
5.
Karima S, Zahra SA, Anwar S, Zulaikhah S, Rohfitta N, Musyafa W. Implementation of Al-Ghazali Educational Philosophy in Student Character Development. Action Research Journal Indonesia (ARJI). 2025 Nov 3;7(4):2915–29.
6.
Marshall R, Pardo A, Smith D, Watson T. Implementing next generation privacy and ethics research in education technology. British Journal of Educational Technology. 2022 Jul;53(4):737–55.
7.
Bunn A. Educational Technology (EdTech) in Australian schools: A case for better practice. The University of New South Wales Law Journal. 2025 Sep;48(3):871–912.
8.
Hanaysha JR, Shriedeh FB, In’airat M. Impact of classroom environment, teacher competency, information and communication technology resources, and university facilities on student engagement and academic performance. International Journal of Information Management Data Insights. 2023 Nov 1;3(2):100188.
9.
Deng Y, Cherian J, Khan NU, Kumari K, Sial MS, Comite U, et al. Family and academic stress and their impact on students’ depression level and academic performance. Frontiers in psychiatry. 2022 Jun 16;13:869337.
10.
Arifin A, Suryaningsih SS, Arifudin O. The relationship between classroom environment, teacher professional development, and student academic performance in secondary education. International Education Trend Issues. 2024 Mar 5;2(2):151–9.
11.
Cage E, Jones E, Ryan G, Hughes G, Spanner L. Student mental health and transitions into, through and out of university: student and staff perspectives. Journal of Further and Higher Education. 2021 Sep 14;45(8):1076–89.
12.
Baker S, Chaudhuri J, Dobry A. Leveraging student research consultants to support reference services: a case study comparison of services before and during the pandemic. Internet Reference Services Quarterly. 2022 Apr 4;26(2):57–71.
13.
Rehfeld DM, Renbarger R, Sulak T, Kugler A, DeMeyer P. Improving Equitable Access to Graduate Education by Reducing Barriers to Minoritized Student Success. Education Sciences. 2024 Mar 12;14(3):298.
14.
Hu P, O’Shea J, Peters AB. Where Students Thrive: A Florida State University Blueprint for Building Student Success. Journal of Postsecondary Student Success. 2023;3(1):101–19.
15.
Cox CW, Wiersma GM, McNelis AM, Beebe SL. Facilitators and challenges to military undergraduate nursing student success. Journal of Professional Nursing. 2021 Nov 1;37(6):1057–62.

Citation

This is an open access article distributed under the  Creative Commons Attribution Non-Commercial License (CC BY-NC) License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 

Article metrics

Google scholar: See link

The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.