Motivation in rural math education within general and special education settings

Introduction This study examines how motivational processes in STEM education differ for rural students with and without Individualized Education Programs (IEPs) using Situated Expectancy-Value Theory (SEVT). The study advances theoretical understanding of STEM motivation in underrepresented populations and provides practical recommendations for creating inclusive rural STEM programs that leverage community strengths while meeting diverse learner needs. Methods Analyzing data from 1,957 rural high school students (444 with IEPs) in the HSLS:09 dataset, we established measurement invariance for four SEVT constructs-intrinsic value, utility value, expectancies for success, and teacher perceptions-confirming their equivalent measurement across groups. Results Results revealed students with IEPs reported slightly higher expectancies for success (β = 0.145, p < 0.05) but showed no differences in other motivational factors compared to peers without IEPs. Structural analyses demonstrated intrinsic value significantly predicted math effort (β = 0.219) and STEM aspirations (OR = 1.45) only for students without IEPs, while no motivational constructs predicted outcomes for IEP students despite their stronger baseline expectancies. Indirect effects with teacher perceptions were significant for both groups, suggesting educators play a crucial role in shaping motivation. Discussion These findings challenge assumptions about motivation deficits in special education populations while highlighting the need for differentiated interventions that address the unique barriers preventing rural students with IEPs from translating motivation into STEM engagement.

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Publication Details

Journal
Frontiers in Education
Published
2025-07-21
DOI
https://doi.org/10.3389/feduc.2025.1611869
Citations
1
Primary Topic
Education Systems and Policy
Type
article
Field-Weighted Citation Impact
8.93

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article

Motivation in rural math education within general and special education settings

Angela Starrett, Haidee A. Jackson, Bryndle Bottoms
1 citations
Frontiers in Education
Education Systems and Policy
8.93
article

Motivation in rural math education within general and special education settings

Angela Starrett, Haidee A. Jackson, Bryndle Bottoms
article en
1 citations

Abstract

Introduction This study examines how motivational processes in STEM education differ for rural students with and without Individualized Education Programs (IEPs) using Situated Expectancy-Value Theory (SEVT). The study advances theoretical understanding of STEM motivation in underrepresented populations and provides practical recommendations for creating inclusive rural STEM programs that leverage community strengths while meeting diverse learner needs. Methods Analyzing data from 1,957 rural high school students (444 with IEPs) in the HSLS:09 dataset, we established measurement invariance for four SEVT constructs-intrinsic value, utility value, expectancies for success, and teacher perceptions-confirming their equivalent measurement across groups. Results Results revealed students with IEPs reported slightly higher expectancies for success (β = 0.145, p < 0.05) but showed no differences in other motivational factors compared to peers without IEPs. Structural analyses demonstrated intrinsic value significantly predicted math effort (β = 0.219) and STEM aspirations (OR = 1.45) only for students without IEPs, while no motivational constructs predicted outcomes for IEP students despite their stronger baseline expectancies. Indirect effects with teacher perceptions were significant for both groups, suggesting educators play a crucial role in shaping motivation. Discussion These findings challenge assumptions about motivation deficits in special education populations while highlighting the need for differentiated interventions that address the unique barriers preventing rural students with IEPs from translating motivation into STEM engagement.

Frontiers in EducationVol. 10
The University of Texas of the Permian Basin (US), South Carolina Department of Education (US)
National Science Foundation, University of South Carolina, Directorate for STEM Education
Openalex Percentile: Top 3%
Education Systems and Policy
8.93
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Motivation in rural math education within general and special education settings — Angela Starrett, Haidee A. Jackson, et al. · Frontiers in Education (2025) | TGRS Research Map | TGRS