"Robots Vs Animals": Establishing a Culture of Public Engagement and Female Role Modeling in Engineering Higher Education

Title"Robots Vs Animals": Establishing a Culture of Public Engagement and Female Role Modeling in Engineering Higher Education
Publication TypeJournal Article
Year of Publication2017
AuthorsFogg-Rogers, L, Sardo, M, Boushel, C
JournalScience Communication
Date Published2017
Publication Languageeng
ISBN Number15528545
KeywordsCOMMUNICATION , COMMUNICATIVE , Community , ENGINEERING , Higher , Organizational , PUBLIC , ROLE , SELF-efficacy , TRAINING , Women
AbstractA widespread culture supporting public engagement activities in higher education is desirable but difficult to establish. Drawing on social cognitive theory, this science communication project aimed to enhance culture change in engineering by developing communication skillsets of early-career engineers, particularly supporting female engineers as role models. Engineers received training in storytelling to present at live events, enhanced by peer group social persuasion and vicarious modeling. A science communication coordinator and senior management endorsement removed barriers to participation. Evaluation showed engineers' self-efficacy levels significantly increased. Qualitative data highlighted a developing culture of engagement but purposive selection of women proved controversial. 
NotesFogg-Rogers, Laura 1; Email Address: laura.foggrogers@uwe.ac.uk Sardo, Margarida 1 Boushel, Corra 1; Affiliation: 1: University of the West of England, Bristol, UK Corresponding Author:; Source Info: Apr2017, Vol. 39 Issue 2, p195; Subject Term: COMMUNITY involvement; Subject Term: COMMUNICATION in science; Subject Term: WOMEN engineers; Subject Term: HIGHER education; Subject Term: ROLE models; Subject Term: COMMUNICATIVE competence; Subject Term: SELF-efficacy; Subject Term: TRAINING of; Author-Supplied Keyword: engineering; Author-Supplied Keyword: organizational culture; Author-Supplied Keyword: public engagement; Author-Supplied Keyword: role models; Author-Supplied Keyword: women in STEM; Number of Pages: 26p; Document Type: Article; Full Text Word Count: 9922