Exploring the Relationship between Resilience and Learning Styles as Predictors of Academic Persistence in Engineering
In recent years, engineering education has witnessed a sharp increase in research aimed at the outcomes of academic success and persistence within engineering programs. However, research surrounding the key forces shaping student persistence remains unknown. This study explores enhancements and broa...
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ndltd-tamu.edu-oai-repository.tamu.edu-1969.1-ETD-TAMU-2010-12-89542013-01-08T10:42:55ZExploring the Relationship between Resilience and Learning Styles as Predictors of Academic Persistence in EngineeringWalton, Shannon Deonneresilience theorylearning stylesacademic persistencepersistence in engineeringindex of learning stylespersonal resilience questionnaireIn recent years, engineering education has witnessed a sharp increase in research aimed at the outcomes of academic success and persistence within engineering programs. However, research surrounding the key forces shaping student persistence remains unknown. This study explores enhancements and broader perspectives of learning; the relationship among dimensions of resilience theory and learning styles in engineering students to identify elements of both that contribute towards academic persistence and to determine which components of both contribute towards strengthening students’ academic persistence in engineering. The study was conducted using two quantitative self-reporting instruments to measure resilience and learning style preference, the Personal Resilience Questionnaire (PQR) and the Index of Learning Styles (ILS). Retention was measured as the continuous enrollment of a student into the second semester of the first-year engineering program. Results indicate that the following have a statistically significant effect on student persistence in engineering programs at Texas A&M University: learning style construct sequential; resilience constructs positive (self) and focus; with both tools combined, positive (self), organized, positive (world), flexibility (self) and focus; and a newly combined construct, Walton’s self-efficacy.Watson, Karan2012-02-14T22:18:56Z2012-02-16T16:14:35Z2012-02-14T22:18:56Z2012-02-16T16:14:35Z2010-122012-02-14December 2010thesistextapplication/pdfhttp://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8954en_US |
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resilience theory learning styles academic persistence persistence in engineering index of learning styles personal resilience questionnaire |
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resilience theory learning styles academic persistence persistence in engineering index of learning styles personal resilience questionnaire Walton, Shannon Deonne Exploring the Relationship between Resilience and Learning Styles as Predictors of Academic Persistence in Engineering |
description |
In recent years, engineering education has witnessed a sharp increase in research aimed at the outcomes of academic success and persistence within engineering programs. However, research surrounding the key forces shaping student persistence remains unknown. This study explores enhancements and broader perspectives of learning; the relationship among dimensions of resilience theory and learning styles in engineering students to identify elements of both that contribute towards academic persistence and to determine which components of both contribute towards strengthening students’ academic persistence in engineering.
The study was conducted using two quantitative self-reporting instruments to measure resilience and learning style preference, the Personal Resilience Questionnaire (PQR) and the Index of Learning Styles (ILS). Retention was measured as the continuous enrollment of a student into the second semester of the first-year engineering program.
Results indicate that the following have a statistically significant effect on student persistence in engineering programs at Texas A&M University: learning style construct sequential; resilience constructs positive (self) and focus; with both tools combined, positive (self), organized, positive (world), flexibility (self) and focus; and a newly combined construct, Walton’s self-efficacy. |
author2 |
Watson, Karan |
author_facet |
Watson, Karan Walton, Shannon Deonne |
author |
Walton, Shannon Deonne |
author_sort |
Walton, Shannon Deonne |
title |
Exploring the Relationship between Resilience and Learning Styles as Predictors of Academic Persistence in Engineering |
title_short |
Exploring the Relationship between Resilience and Learning Styles as Predictors of Academic Persistence in Engineering |
title_full |
Exploring the Relationship between Resilience and Learning Styles as Predictors of Academic Persistence in Engineering |
title_fullStr |
Exploring the Relationship between Resilience and Learning Styles as Predictors of Academic Persistence in Engineering |
title_full_unstemmed |
Exploring the Relationship between Resilience and Learning Styles as Predictors of Academic Persistence in Engineering |
title_sort |
exploring the relationship between resilience and learning styles as predictors of academic persistence in engineering |
publishDate |
2012 |
url |
http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8954 |
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AT waltonshannondeonne exploringtherelationshipbetweenresilienceandlearningstylesaspredictorsofacademicpersistenceinengineering |
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