Inhibition and Fraction Arithmetic: Insights from Heat-map Strategy Reports
| dc.contributor.author | Kaur, Freya | |
| dc.contributor.author | Fitzsimmons, Charles J | |
| dc.contributor.author | Iwai, Yuika | |
| dc.contributor.author | Taber, Jennifer M. | |
| dc.contributor.author | Thompson, Clarissa A | |
| dc.contributor.author | Godwin, Karrie E. | |
| dc.date.accessioned | 2022-07-15T16:05:09Z | |
| dc.date.available | 2022-07-15T16:05:09Z | |
| dc.date.issued | 2022 | |
| dc.description | Proceedings of the Annual Meeting of the Cognitive Science Society | en_US |
| dc.description.abstract | Proficiency in math is critically important given its implications for education and daily life (e.g., finances, health). However, math is a challenging subject, and proficiency requires a complex interplay of content knowledge and general cognitive processes, including Executive Function (EF). In this exploratory study, we used heat maps to examine whether participants' self-reported attention to strategy-specific components of fraction arithmetic equations (i.e., operations, numerators, denominators) was related to their EF and task performance. Our results indicated that participants with stronger EF (indexed by a numerical stroop task) obtained higher fraction arithmetic scores and were also more likely to attend to strategy-specific components in the fraction problems. Additionally, a positive correlation was found between participants’ selection of strategy-specific components and their fraction arithmetic accuracy. | en_US |
| dc.description.sponsorship | We would like to thank Jeremy Foust, Daniel Scheibe, and Kaitlyn Warakomski for their help conceptualizing the parent study for which these data were collected. This research was supported by a grant from the Kent State University Healthy Communities Research Institute to CAT, JMT, and KEG. | en_US |
| dc.description.uri | https://escholarship.org/uc/item/1jm8m597#main | en_US |
| dc.format.extent | 8 pages | en_US |
| dc.genre | conference papers and proceedings | en_US |
| dc.identifier | doi:10.13016/m2j1pv-xcvu | |
| dc.identifier.citation | Kaur, F., Fitzsimmons, C. J, Iwai, Y., Taber, J. M, Thompson, C. A, & Godwin, K. E. (2022). Inhibition and Fraction Arithmetic: Insights from Heat-map Strategy Reports. Proceedings of the Annual Meeting of the Cognitive Science Society, 44. Retrieved from https://escholarship.org/uc/item/1jm8m597 | en_US |
| dc.identifier.uri | http://hdl.handle.net/11603/25176 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | The University of California | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Psychology Department Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.relation.ispartof | UMBC Student Collection | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | en_US |
| dc.rights | Attribution 4.0 International (CC BY 4.0) | * |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
| dc.title | Inhibition and Fraction Arithmetic: Insights from Heat-map Strategy Reports | en_US |
| dc.type | Text | en_US |
