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Engineering student experience and self-direction in implementations of blended learning: a cross-institutional analysis

BACKGROUND: Much of researchers’ efforts to foster wider implementation of educational innovations in STEM has focused on understanding and facilitating the implementation efforts of faculty. However, student engagement in blended learning and other innovations relies heavily on students’ self-direc...

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Autores principales: Evenhouse, David, Lee, Yonghee, Berger, Edward, Rhoads, Jeffrey F., DeBoer, Jennifer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9994781/
https://www.ncbi.nlm.nih.gov/pubmed/36915857
http://dx.doi.org/10.1186/s40594-023-00406-x
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author Evenhouse, David
Lee, Yonghee
Berger, Edward
Rhoads, Jeffrey F.
DeBoer, Jennifer
author_facet Evenhouse, David
Lee, Yonghee
Berger, Edward
Rhoads, Jeffrey F.
DeBoer, Jennifer
author_sort Evenhouse, David
collection PubMed
description BACKGROUND: Much of researchers’ efforts to foster wider implementation of educational innovations in STEM has focused on understanding and facilitating the implementation efforts of faculty. However, student engagement in blended learning and other innovations relies heavily on students’ self-directed learning behaviors, implying that students are likely key actors in the implementation process. This paper explores the ways in which engineering students at multiple institutions experience the self-directed selection and implementation of blended learning resources in the context of their own studies. To accomplish this, it adopts a research perspective informed by Actor-Network Theory, allowing students themselves to be perceived as individual actors and implementors rather than a population that is implemented upon. RESULTS: A thematic analysis was conducted in two parts. First, analysis identified sets of themes unique to the student experience at four participant institutions. Then, a second round of analysis identified and explored a subset of key actors represented in students’ reported experiences across all institutions. The findings show clear similarities and differences in students’ experiences of blended learning across the four institutions, with many themes echoing or building upon the results of prior research. Distinct institutional traits, the actions of the instructors, the components of the blended learning environment, and the unique needs and preferences of the students themselves all helped to shape students’ self-directed learning experiences. Students’ engagement decisions and subsequent implementations of blended learning resulted in personally appropriate, perhaps even idiosyncratic, forms of engagement with their innovative learning opportunities. CONCLUSION: The institutional implementation of blended learning, and perhaps other educational innovations, relies in part on the self-directed decision-making of individual students. This suggests that instructors too hold an additional responsibility: to act as facilitators of their students’ implementation processes and as catalysts for growth and change in students’ learning behaviors. Developing a greater understanding of students’ implementation behaviors could inform the future implementation efforts of faculty and better empower students to succeed in the innovative classroom.
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spelling pubmed-99947812023-03-09 Engineering student experience and self-direction in implementations of blended learning: a cross-institutional analysis Evenhouse, David Lee, Yonghee Berger, Edward Rhoads, Jeffrey F. DeBoer, Jennifer Int J STEM Educ Research BACKGROUND: Much of researchers’ efforts to foster wider implementation of educational innovations in STEM has focused on understanding and facilitating the implementation efforts of faculty. However, student engagement in blended learning and other innovations relies heavily on students’ self-directed learning behaviors, implying that students are likely key actors in the implementation process. This paper explores the ways in which engineering students at multiple institutions experience the self-directed selection and implementation of blended learning resources in the context of their own studies. To accomplish this, it adopts a research perspective informed by Actor-Network Theory, allowing students themselves to be perceived as individual actors and implementors rather than a population that is implemented upon. RESULTS: A thematic analysis was conducted in two parts. First, analysis identified sets of themes unique to the student experience at four participant institutions. Then, a second round of analysis identified and explored a subset of key actors represented in students’ reported experiences across all institutions. The findings show clear similarities and differences in students’ experiences of blended learning across the four institutions, with many themes echoing or building upon the results of prior research. Distinct institutional traits, the actions of the instructors, the components of the blended learning environment, and the unique needs and preferences of the students themselves all helped to shape students’ self-directed learning experiences. Students’ engagement decisions and subsequent implementations of blended learning resulted in personally appropriate, perhaps even idiosyncratic, forms of engagement with their innovative learning opportunities. CONCLUSION: The institutional implementation of blended learning, and perhaps other educational innovations, relies in part on the self-directed decision-making of individual students. This suggests that instructors too hold an additional responsibility: to act as facilitators of their students’ implementation processes and as catalysts for growth and change in students’ learning behaviors. Developing a greater understanding of students’ implementation behaviors could inform the future implementation efforts of faculty and better empower students to succeed in the innovative classroom. Springer International Publishing 2023-03-08 2023 /pmc/articles/PMC9994781/ /pubmed/36915857 http://dx.doi.org/10.1186/s40594-023-00406-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Evenhouse, David
Lee, Yonghee
Berger, Edward
Rhoads, Jeffrey F.
DeBoer, Jennifer
Engineering student experience and self-direction in implementations of blended learning: a cross-institutional analysis
title Engineering student experience and self-direction in implementations of blended learning: a cross-institutional analysis
title_full Engineering student experience and self-direction in implementations of blended learning: a cross-institutional analysis
title_fullStr Engineering student experience and self-direction in implementations of blended learning: a cross-institutional analysis
title_full_unstemmed Engineering student experience and self-direction in implementations of blended learning: a cross-institutional analysis
title_short Engineering student experience and self-direction in implementations of blended learning: a cross-institutional analysis
title_sort engineering student experience and self-direction in implementations of blended learning: a cross-institutional analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9994781/
https://www.ncbi.nlm.nih.gov/pubmed/36915857
http://dx.doi.org/10.1186/s40594-023-00406-x
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