A Practical Guide to Gender Diversity for Computer Science Faculty

ISBN-13: 9783031013805 / Angielski / Miękka / 2013 / 69 str.

Diana Franklin

Opis

Computer science faces a continuing crisis in the lack of females pursuing and succeeding in the field. Companies may suffer due to reduced product quality, students suffer because educators have failed to adjust to diverse populations, and future generations suffer due to a lack of role models and continued challenges in the environment. In this book, we draw on the latest research in sociology, psychology, and education to first identify why we should be striving for gender diversity (beyond social justice), refuting misconceptions about the differing potentials between females and males. We then provide a set of practical types (with brief motivations) for improving your work with undergraduates taking your courses. This is followed by in-depth discussion of the research behind the tips, presenting obstacles that females face in a number of areas. Finally, we provide tips for advising undergraduate independent projects or graduate students, supporting female faculty, and initiatives requiring action at the institutional level (department or above).

Spis treści

Introduction.- Why is Gender Diversity Important?.- Obstacles to Gender Balance.- In The Classroom Tips.- Advising Tips.- Faculty Recruiting.- Retention Tips.- Institutional Change Tips.

O autorze

Diana Franklin is tenured teaching faculty and Director of the Center for Computing Education and Diversity at UC Santa Barbara. Franklin received her Ph.D. from UC Davis in 2002. She is a recipient of the NSF CAREER award and an inaugural recipient of the NCWIT faculty mentoring award. She was an assistant professor (2002-2007) and associate professor (2007) of Computer Science at the California Polytechnic State University, San Luis Obispo, during which she held the Forbes Chair (2002-2007). Her research interests include parallel programming and architecture, computing education, and ethnic and gender diversity in computing.