Proceedings of the 2nd International Conference on Sciences, Mathematics, and Education 2023 (ICOSMED 2023)

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The Rasch Analysis Approach for Validating The Precision of Mathematical Cognitive Load Scale

Authors
Rina Oktaviyanthi1, *, Ria Noviana Agus1
1Department of Mathematics Education, Universitas Serang Raya, Serang-Banten, Indonesia
*Corresponding author. Email: rinaokta@unsera.ac.id
Corresponding Author
Rina Oktaviyanthi
Available Online 28 July 2025.
DOI
10.2991/978-2-38476-410-5_46How to use a DOI?
Keywords
rasch analysis; mathematical cognitive load scale; limits concept
Abstract

High cognitive load in learning mathematics occurs partly due to the mental activity of working memory experiences fullness and maximum pressure during the learning process. This situation intensified by the characteristics of the information, for instance, when studying the formal definition of limits involving high-level mathematical formulations and constructing epsilon and delta propositions. Previously, to determine the cognitive load on students, it has been traced by cognitive load scales. However, there hasn’t been much improvement of cognitive load scales specific to the characteristics of abstract mathematical concepts as epsilon and delta proof. Hence, the aim of this research is to validate a specific cognitive load scale for the formal definition of limits concept and examine item instrument consistency. Rasch analysis applied as the research approach through aspects of reliability testing, separation, and item measurement. The Winstep software employed as a tool to explore the psychometric properties of the instrument. A total of 75 students from three private universities in Serang, Cilegon, and Pandeglang participated as research respondents. The main findings confirm that the tested cognitive load scale meets the valid Rasch model assumptions and is reliable with fairly good and consistent reliability and separation value categories.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Conference on Sciences, Mathematics, and Education 2023 (ICOSMED 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
28 July 2025
ISBN
978-2-38476-410-5
ISSN
2352-5398
DOI
10.2991/978-2-38476-410-5_46How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Rina Oktaviyanthi
AU  - Ria Noviana Agus
PY  - 2025
DA  - 2025/07/28
TI  - The Rasch Analysis Approach for Validating The Precision of Mathematical Cognitive Load Scale
BT  - Proceedings of the 2nd International Conference on Sciences, Mathematics, and Education 2023 (ICOSMED 2023)
PB  - Atlantis Press
SP  - 450
EP  - 456
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-410-5_46
DO  - 10.2991/978-2-38476-410-5_46
ID  - Oktaviyanthi2025
ER  -