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Full-Text Articles in Engineering Education
"Mentoring Is Ethical, Right?": Women Graduate Students And Faculty In Science And Engineering Speak Out, Laura Gelles, Idalis Villanueva, Marialuisa Di Stefano
"Mentoring Is Ethical, Right?": Women Graduate Students And Faculty In Science And Engineering Speak Out, Laura Gelles, Idalis Villanueva, Marialuisa Di Stefano
Engineering Education Faculty Publications
The relationship between graduate students and their research advisors within academia is pivotal to the development and success of the research enterprise. Graduate students rely on their faculty advisor to be a source of information, a departmental negotiator, and a role model to guide their professional and ethical behavior. However, if an advisor does not fully recognize a student’s best interest or they are unaware of how to be an “ethical mentor”, they may overlook the unique social capital of the graduate student (e.g., background, culture) and jeopardize the research relationship. This work aims to explore how women graduate students …
“There Is Never A Break”: The Hidden Curriculum Of Professionalization For Engineering Faculty, Idalis Villanueva, Taya Carothers, Marialuisa Di Stefano, Md. Tarique Hasan Kahan
“There Is Never A Break”: The Hidden Curriculum Of Professionalization For Engineering Faculty, Idalis Villanueva, Taya Carothers, Marialuisa Di Stefano, Md. Tarique Hasan Kahan
Engineering Education Faculty Publications
The purpose of this exploratory special issue study was to understand the hidden curriculum (HC), or the unwritten, unofficial, or unintended lessons, around the professionalization of engineering faculty across institutions of higher education. Additionally, how engineering faculty connected the role of HC awareness, emotions, self-efficacy, and self-advocacy concepts was studied. A mixed-method survey was disseminated to 55 engineering faculties across 54 institutions of higher education in the United States. Quantitative questions, which centered around the influences that gender, race, faculty rank, and institutional type played in participants’ responses was analyzed using a combination of decision tree analysis with chi-square and …