Building Online Social Networks to Engage Female Students in Information Systems

Jaymeen R. Shah and Hsun-Ming Lee
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Jaymeen R. Shah: Department of Computer Information Systems & Quantitative Methods, Texas State University, San Marcos, TX, USA
Hsun-Ming Lee: Department of Computer Information Systems & Quantitative Methods, Texas State University, San Marcos, TX, USA

International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 2015, vol. 10, issue 4, 33-51

Abstract: During the next decade, enrollment growth in Information Systems (IS) related majors is unlikely to meet the predicted demand for qualified IS graduates. Gender imbalance in the IS related program makes the situation worse as enrollment and retention of women in the IS major has been proportionately low compared to male. In recent years, majority of high school and college students have integrated social networking sites in their daily life and habitually use these sites. Providing female students access to role models via an online social network may enhance their motivation to continue as an IS major and pursue a career in IS field. For this study, the authors follow the action research process – exploration of information systems development. In particular, a Facebook application was developed to build the social network connecting role models and students. Using the application, a basic framework is tested based on the gender of participants. The results suggest that it is necessary to have adequate number of role models accessible to students as female role-models tend to select fewer students to develop relationships with a preference for female students. Female students likely prefer composite role models from a variety of sources. This pilot study yields valuable lessons to provide informal learning fostered by role modeling via online social networks. The Facebook application may be further expanded to enhance female students' interests in IS related careers.

Date: 2015
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International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) is currently edited by Mahesh S. Raisinghani

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