1,768 research outputs found

    Encouraging Young Women in Computing

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    Informatics in the Future: Proceedings of the 11th European Computer Science Summit (ECSS 2015), Vienna, October 2015

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    Big data; Computing ethics; Women in computing; Research ethic

    Australian interventions for women in computing : are we evaluating?

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    There are many reasons why the gender imbalance in computing should be of concern to the profession. Over the last 20 years there have been many intervention programs which attempt to redress this situation and encourage more women into computing. To determine whether an intervention program has made a difference requires evaluation. Program evaluation is the careful collecting of information about a program so that those responsible can make informed decisions regarding the programs. This multi-case study investigation into 14 major programs conducted in Australia shows that many projects are not evaluated due to a lack of time, expertise and money. Without dissemination of detailed evaluations it is not possible to work out which intervention programs should be replicated and which should be modified or abandoned

    What\u27s Grad School All About?

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    PDF of a powerpoint presentation from the Capital region Celebration of Women in Computing (CAPWIC) Conference in Harrisonburg, Virginia, February 27, 2015. Also available on Slideshare.https://digitalcommons.odu.edu/computerscience_presentations/1030/thumbnail.jp

    Telling Stories with Web Archives

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    PDF of a powerpoint presentation from the Southeast Women in Computing Conference in Lake Guntersville State Park, Alabama, November 16, 2013. Also available on Slideshare.https://digitalcommons.odu.edu/computerscience_presentations/1036/thumbnail.jp

    “You Sound Like a Good Program Manager”: An Analysis of Gender in Women’s Computing Life Histories

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    Through the eyes of professional women in computing, we can better understand the impact of workplace structures, higher education pathways, and the particular closed nature of the tech industry. This study of women’s life histories contributes to the work of in-depth qualitative examinations of CS learning contexts and psychological studies investigating phenomena such stereotype threat which contextualize the experience of women in computing environments. Drawing inspiration from Margolis and Fisher’s work drawing the “blueprints” of the “boy’s clubhouse” of computing education [20], as well as McDermott and Webber’s analysis of when math learning occurs [22], we ask when, where, and how is gender being invoked and created, as a way to unpack the places, events, and interactions that shape women’s participation in the Silicon Valley workforce. This qualitative analysis of 13 life history interviews with professional women in computing shows that gender becomes salient for women in public settings, particularly in early adulthood when women enter male-dominated classrooms, teams, and workplaces that foster “brogramming” culture. CS educators, hiring managers, and recruiters all need to be aware that the effects of gender go beyond just including more women in classrooms and on teams. The learning environment, incentives for participation, and the goal of diversity all need to be better aligned in order to foster an equitable workforce

    Is Stack Overflow Overflowing With Questions and Tags

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    Programming question and answer (Q & A) websites, such as Quora, Stack Overflow, and Yahoo! Answer etc. helps us to understand the programming concepts easily and quickly in a way that has been tested and applied by many software developers. Stack Overflow is one of the most frequently used programming Q\&A website where the questions and answers posted are presently analyzed manually, which requires a huge amount of time and resource. To save the effort, we present a topic modeling based technique to analyze the words of the original texts to discover the themes that run through them. We also propose a method to automate the process of reviewing the quality of questions on Stack Overflow dataset in order to avoid ballooning the stack overflow with insignificant questions. The proposed method also recommends the appropriate tags for the new post, which averts the creation of unnecessary tags on Stack Overflow.Comment: 11 pages, 7 figures, 3 tables Presented at Third International Symposium on Women in Computing and Informatics (WCI-2015

    CODE4her Spring 2018

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    CODE4her is a mentorship program with a goal of sparking interest in computer science organized by the BGSU Women in Computing (BGWIC) student organization. Participation is open to middle school girls (grades 5-8), and participants are paired with BGWIC members who serve as mentors

    Is That Twitter Hashtag Worth Reading

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    Online social media such as Twitter, Facebook, Wikis and Linkedin have made a great impact on the way we consume information in our day to day life. Now it has become increasingly important that we come across appropriate content from the social media to avoid information explosion. In case of Twitter, popular information can be tracked using hashtags. Studying the characteristics of tweets containing hashtags becomes important for a number of tasks, such as breaking news detection, personalized message recommendation, friends recommendation, and sentiment analysis among others. In this paper, we have analyzed Twitter data based on trending hashtags, which is widely used nowadays. We have used event based hashtags to know users' thoughts on those events and to decide whether the rest of the users might find it interesting or not. We have used topic modeling, which reveals the hidden thematic structure of the documents (tweets in this case) in addition to sentiment analysis in exploring and summarizing the content of the documents. A technique to find the interestingness of event based twitter hashtag and the associated sentiment has been proposed. The proposed technique helps twitter follower to read, relevant and interesting hashtag.Comment: 10 pages, 6 figures, Presented at the Third International Symposium on Women in Computing and Informatics (WCI-2015
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