Document Type
Article
Version Deposited
Published Version
Publication Date
11-1-2023
Publication Title
Education Sciences
DOI
10.3390/educsci13111102
Abstract
This work investigates how innovations propagate through two professional networks (guilds): the Kern Entrepreneurial Engineering Network (KEEN) and the Consortium to Promote Reflection in Engineering Education (CPREE). Previous research has demonstrated that the adoption of pedagogical innovations is supported by the socialization of the innovation among potential adopters. In this work, we use social network analysis to explore the impact of professional connections on innovation adoption. Our research questions are: (1) How does overall social structure differ between guilds? (2) How do measures of social network structures relate to innovation adoption? A survey was distributed to members of KEEN and CPREE to capture the interactions respondents had while adopting the guild’s innovation. Social networks were generated for each guild and each respondent. These networks were analyzed to identify relationships between social network measures and the frequency of use of the innovation. Responses to open-ended questions were analyzed using thematic coding. The guilds’ overall structures impacted the formation and structure of distinct clusters/cliques, but these differing structures did not appear to affect sustained adoption. Individuals’ ego networks demonstrated a weak negative correlation between the frequency of adoption and the individual’s ego network density. Our results imply that having a diverse network exposes instructors to more ideas or allows them to see one idea from many perspectives leading to a higher likelihood of adoption.
Recommended Citation
Riley, D.; Mallouk, K.; Faber, C.; Coso Strong, A. Adoption of Pedagogical Innovations: Social Networks of Engineering Education Guilds. Educ. Sci. 2023, 13, 1102. https://doi.org/10.3390/educsci13111102
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Comments
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.