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DOI: 10.15507/1991-9468.030.202601.158-181

UDC 378:00405

 

LX Design Strategies for Optimizing Online Educational Processes and Improving Academic Performance of Higher Education Students

Irina P. Burukina
Cand.Sci. (Engr.), Head of the Chair of Computer-Aided Design Systems, Penza State University (40 Krasnaya St., Penza 440052, Russian Federation), ORCID: https://orcid.org/0009-0006-1953-2914, Scopus ID: 57223891825, SPIN-code: 9100-4239, This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract
Introduction. The deterioration of academic performance and the increasing dropout rate among university students emphasize the need to develop innovative pedagogical approaches to enhance the quality of educational processes. One of the priority areas is the concept of LX Design (Learning Experience Design), which focuses on creating a unique educational environment that accounts for the individual cognitive characteristics, emotional responses, and behavioral preferences of learners. However, the insufficiently studied methods and strategies associated with this concept hinder its widespread adoption in the educational environment. The aim of the research is to study the potential of LX Design to improve the academic performance of higher education students in online learning conditions, to form an evidence base confirming its positive role in ensuring a high-quality and sustainable educational process, and to develop practical recommendations integrating the effective strategies of this concept into teaching practice.
Materials and Methods. A comparative analysis of the academic performance results of 682 students randomly assigned to two equivalent groups was made. The experimental group studied the online course “Web Design,” based on the principles of LX Design; the control group simultaneously completed the traditional online course “Web Design.” Learning outcomes were recorded from January 2024 to May 2025. To test the hypothesis, analytical procedures were used: one-way Analysis of Variance (ANOVA), calculation of the mean success rate, determination of the standard error, as well as statistical analysis of quantitative and qualitative empirical data. The precise factors influencing the improvement in the academic performance of the experimental group students were determined using correlation-regression analysis.
Results. An increase in final academic performance, a rise in performance when mastering topics focused on solving practical problems, and improved scores in the completion of applied assignments were recorded among students in the experimental group. The identified factors of positive correlation between improved performance and LX Design methods formed the basis for developing recommendations on adapting these services to the specific features of academic disciplines and the individual needs of students.
Discussion and Conclusion. The materials of this article will be useful for educational resource developers, instructors, and researchers interested in enhancing the effectiveness of curricula and creating conditions for optimizing online educational processes through the competent application of LX Design strategies.

Keywords: Learning Experience Design strategies, designing learning experiences, academic achievement, optimization of online learning, quality of the educational process

Conflict of interest: The author declares no conflict of interest.

For citation: Burukina I.P. LX Design Strategies for Optimizing Online Educational Processes and Improving Academic Performance of Higher Education Students. Integration of Education. 2026;30(1):158–181. https://doi.org/10.15507/1991-9468.030.202601.158-181

Availability of data and materials. The datasets used and/or analysed during the current study are available from the author on reasonable request.

The author has read and approved the final manuscript.

Submitted 27.07.2025;
revised 05.09.2025;
accepted 12.09.2025.

 

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