DIGITAL LEARNING ENVIRONMENTS: THE RELATIONSHIP BETWEEN STUDENTS' COGNITIVE LOAD AND ACADEMIC PERFORMANCE

Main Article Content

Raupova Nilufar Anvar qizi

Abstract

This article examines the relationship between cognitive load and academic performance in digital learning environments. Results indicate that properly designed digital learning environments can optimize cognitive load distribution, leading to improved academic performance, while poorly structured digital platforms may impose excessive extraneous cognitive burden that hinders learning effectiveness.


 

Article Details

Section
Articles

References

Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257-285.

Sweller, J., van Merriënboer, J.J.G., & Paas, F. (2019). Cognitive architecture and instructional design: 20 years later. Educational Psychology Review, 31(2), 261-292.

Paas, F., & Sweller, J. (2014). Implications of cognitive load theory for multimedia learning. In R. Mayer (Ed.), The Cambridge Handbook of Multimedia Learning (pp. 27-42). Cambridge University Press.

Mayer, R.E. (2021). Multimedia Learning (3rd ed.). Cambridge University Press.

Kalyuga, S., & Singh, A.M. (2016). Rethinking the boundaries of cognitive load theory in complex learning. Educational Psychology Review, 28(4), 831-852.

Castro-Alonso, J.C., Ayres, P., & Paas, F. (2015). The potential of embodied cognition to improve STEM learning. Educational Psychology Review, 27(3), 365-385.

Chen, O., Kalyuga, S., & Sweller, J. (2017). The expertise reversal effect is a variant of the more general element interactivity effect. Educational Psychology Review, 29(2), 393-405.

Kirschner, P.A., Sweller, J., & Clark, R.E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41(2), 75-86.