Joslenne Peña
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Abstract
Many initiatives have focused on attracting girls and young women (K-12 or college) to computer science education. However, professional women who never learned to program have been largely ignored, despite the fact that such individuals may have many opportunities to benefit from enhanced skills and attitudes about computer programming. To provide a convenient learning space for this population, we created and evaluated the impacts of a nine-week web development workshop that was carefully designed to be both comfortable and engaging for this population. In this article, we report how the professionals’ attitudes and skills grew over the course of the workshop and how they now expect to integrate these skills and attitudes into their everyday lives.
- Monica Adya and Kate M. Kaiser. 2005. Early determinants of women in the IT workforce: A model of girls’ career choices. Information Technology & People 18, 3 (2005), 230--259.Google Scholar
Cross Ref
- Sheikh Iqbal Ahamed, Dennis Brylow, Rong Ge, Praveen Madiraju, Stephen J. Merrill, Craig A. Struble, and James P. Early. 2010. Computational thinking for the sciences: A three day workshop for high school science teachers. In Proceedings of the 41st ACM Technical Symposium on Computer Science Education. ACM, 42--46.Google Scholar
- Marzieh Ahmadzadeh, Dave Elliman, and Colin Higgins. 2007. The impact of improving debugging skill on programming ability. Innovation in Teaching and Learning in Information and Computer Sciences 6, 4 (2007), 72--87.Google ScholarCross Ref
- Linda Argote and Ella Miron-Spektor. 2011. Organizational learning: From experience to knowledge. Organization Science 22, 5 (2011), 1123--1137.Google ScholarDigital Library
- Chulakorn Aritajati, Mary Beth Rosson, Joslenne Pena, Dana Cinque, and Ana Segura. 2015. A socio-cognitive analysis of summer camp outcomes and experiences. In Proceedings of the 46th ACM Technical Symposium on Computer Science Education. ACM, 581--586.Google ScholarDigital Library
- Petek Askar and David Davenport. 2009. An investigation of factors related to self-efficacy for Java Programming among engineering students.Online Submission 8, 1 (2009).Google Scholar
- Albert Bandura. 1982. Self-efficacy mechanism in human agency. American Psychologist 37, 2 (1982), 122.Google ScholarCross Ref
- Lecia J. Barker and Kathy Garvin-Doxas. 2004. Making visible the behaviors that influence learning environment: A qualitative exploration of computer science classrooms. Computer Science Education 14, 2 (2004), 119--145.Google ScholarCross Ref
- Lecia Jane Barker, Kathy Garvin-Doxas, and Michele Jackson. 2002. Defensive climate in the computer science classroom. In ACM SIGCSE Bulletin, Vol. 34. ACM, 43--47.Google ScholarDigital Library
- Lecia J. Barker, Melissa O’Neill, and Nida Kazim. 2014. Framing classroom climate for student learning and retention in computer science. In Proceedings of the 45th ACM Technical Symposium on Computer Science Education. ACM, 319--324.Google ScholarDigital Library
- Jill Beard and Penny Dale. 2010. Library design, learning spaces and academic literacy. New Library World 111, 11/12 (2010), 480--492.Google ScholarCross Ref
- Laura Beckwith and Margaret Burnett. 2004. Gender: An important factor in end-user programming environments? In Proceedings of the 2004 IEEE Symposium on Visual Languages-Human Centric Computing. IEEE, 107--114.Google ScholarDigital Library
- Mary Field Belenky, Blythe M. Clinchy, Nancy Rule Goldberger, and Jill Mattuck Tarule. 1986. Women’s Ways of Knowing: The Development of Self, Voice, and Mind. Vol. 15. Basic Books, New York.Google Scholar
- Bradford S. Bell and Steve W. J. Kozlowski. 2010. Toward a theory of learner-centered training design: An integrative framework of active learning. In SIOP Organizational Frontiers Series Learning, Training, and Development in Organizations, S. W. J. Kozlowski and E. Salas (Eds.). Routledge/Taylor & Francis Group.Google Scholar
- D. Christopher Brooks. 2011. Space matters: The impact of formal learning environments on student learning. British Journal of Educational Technology 42, 5 (2011), 719--726.Google ScholarCross Ref
- B. J. Bryson and Victoria A. Bennet-Anyikwa. 2003. The teaching and learning experience: Deconstructing and creating space using a feminist pedagogy. Race, Gender & Class (2003), 131--146.Google Scholar
- United States Census Bureau.2016 (accessed October 6, 2019). A Look at the Future of the U.S. Labor Force to 2060. https://www.bls.gov/spotlight/2016/a-look-at-the-future-of-the-us-labor-force-to-2060/pdf/a-look-at-the-future-of-the-us-labor-force-to-2060.pdf.Google Scholar
- Alison A. Carr, David H. Jonassen, Mary Ellen Litzinger, and Rose M. Marra. 1998. Good ideas to foment educational revolution: The role of systemic change in advancing situated learning, constructivism, and feminist pedagogy. Educational Technology (1998), 5--15.Google Scholar
- Erin Cech and Michelle Pham. 2017. Queer in STEM organizations: Workplace disadvantages for LGBT employees in STEM related federal agencies. Social Sciences 6, 1 (2017), 12.Google ScholarCross Ref
- Polina Charters, Michael J. Lee, Amy J. Ko, and Dastyni Loksa. 2014. Challenging stereotypes and changing attitudes: The effect of a brief programming encounter on adults’ attitudes toward programming. In Proceedings of the 45th ACM Technical Symposium on Computer Science Education. ACM, 653--658.Google ScholarDigital Library
- Sapna Cheryan, Allison Master, and Andrew N. Meltzoff. 2015. Cultural stereotypes as gatekeepers: Increasing girls’ interest in computer science and engineering by diversifying stereotypes. Frontiers in Psychology 6 (2015), 49.Google ScholarCross Ref
- Sapna Cheryan, Andrew N. Meltzoff, and Saenam Kim. 2011. Classrooms matter: The design of virtual classrooms influences gender disparities in computer science classes. Computers & Education 57, 2 (2011), 1825--1835.Google ScholarDigital Library
- Sapna Cheryan, Victoria C. Plaut, Paul G. Davies, and Claude M. Steele. 2009. Ambient belonging: How stereotypical cues impact gender participation in computer science. Journal of Personality and Social Psychology 97, 6 (2009), 1045.Google ScholarCross Ref
- Sapna Cheryan, John Oliver Siy, Marissa Vichayapai, Benjamin J. Drury, and Saenam Kim. 2011. Do female and male role models who embody STEM stereotypes hinder women’s anticipated success in STEM? Social Psychological and Personality Science 2, 6 (2011), 656--664.Google ScholarCross Ref
- Parmit K. Chilana, Celena Alcock, Shruti Dembla, Anson Ho, Ada Hurst, Brett Armstrong, and Philip J. Guo. 2015. Perceptions of non-CS majors in intro programming: The rise of the conversational programmer. In Proceedings of the 2015 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). IEEE, 251--259.Google Scholar
- Parmit K. Chilana, Rishabh Singh, and Philip J. Guo. 2016. Understanding conversational programmers: A perspective from the software industry. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 1462--1472.Google Scholar
- Luigina Ciolfi, Breda Gray, and Anthony D’Andrea. 2012. Social aspects of place experience in mobile work/life practices. In From Research to Practice in the Design of Cooperative Systems: Results and Open Challenges. Springer, 183--196.Google Scholar
- Deborah R. Compeau and Christopher A. Higgins. 1995. Computer self-efficacy: Development of a measure and initial test. MIS Quarterly (1995), 189--211.Google Scholar
- Amanda B. Diekman, Elizabeth R. Brown, Amanda M. Johnston, and Emily K. Clark. 2010. Seeking congruity between goals and roles: A new look at why women opt out of science, technology, engineering, and mathematics careers. Psychological Science 21, 8 (2010), 1051--1057.Google ScholarCross Ref
- Martha Morrison Dore. 1994. Feminist pedagogy and the teaching of social work practice. Journal of Social Work Education 30, 1 (1994), 97--106.Google ScholarCross Ref
- Brian Dorn and Mark Guzdial. 2006. Graphic designers who program as informal computer science learners. In Proceedings of the 2nd International Workshop on Computing Education Research. ACM, 127--134.Google ScholarDigital Library
- Paul Dourish. 2006. Re-space-ing place: Place and space ten years on. In Proceedings of the 2006 20th Anniversary Conference on Computer Supported Cooperative Work. ACM, 299--308.Google ScholarDigital Library
- Thomas M. Duffy and David H. Jonassen. 2013. Constructivism and the Technology of Instruction: A Conversation. Routledge.Google Scholar
- Anna Duran and Denise Lopez. 2015. Women from diverse backgrounds in the science, technology, engineering, and math (STEM) professions: Retention and career development. In Impact of Diversity on Organization and Career Development. IGI Global, 214--251.Google Scholar
- Barbara Ericson, Mark Guzdial, and Maureen Biggers. 2005. A model for improving secondary CS education. In ACM SIGCSE Bulletin, Vol. 37. ACM, 332--336.Google ScholarDigital Library
- Barbara J. Ericson, Kantwon Rogers, Miranda Parker, Briana Morrison, and Mark Guzdial. 2016. Identifying design principles for CS teacher Ebooks through design-based research. In Proceedings of the 2016 ACM Conference on International Computing Education Research. 191--200.Google ScholarDigital Library
- Eva Eriksson, Thomas Riisgaard Hansen, and Andreas Lykke-Olesen. 2007. Reclaiming public space: Designing for public interaction with private devices. In Proceedings of the 1st International Conference on Tangible and Embedded Interaction. 31--38.Google ScholarDigital Library
- Elizabeth A. Eschenbach, Eileen M. Cashman, Alisha A. Waller, and Susan M. Lord. 2005. Incorporating feminist pedagogy into the engineering learning experience. In Proceedings of the Frontiers in Education 35th Annual Conference. IEEE, F4H–8.Google Scholar
- John Field. 2000. Lifelong Learning and the New Educational Order. ERIC.Google Scholar
- Catherine Twomey Fosnot. 2013. Constructivism: Theory, Perspectives, and Practice. Teachers College Press.Google Scholar
- Sarah Fox, Rachel Rose Ulgado, and Daniela Rosner. 2015. Hacking culture, not devices: Access and recognition in feminist hackerspaces. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing. 56--68.Google ScholarDigital Library
- D. Randy Garrison. 1997. Self-directed learning: Toward a comprehensive model. Adult Education Quarterly 48, 1 (1997), 18--33.Google ScholarCross Ref
- Joanna Goode, Jane Margolis, and Gail Chapman. 2014. Curriculum is not enough: The educational theory and research foundation of the exploring computer science professional development model. In Proceedings of the 45th ACM Technical Symposium on Computer Science Education. ACM, 493--498.Google ScholarDigital Library
- Sandy Graham and Celine Latulipe. 2003. CS girls rock: Sparking interest in computer science and debunking the stereotypes. In ACM SIGCSE Bulletin, Vol. 35. ACM, 322--326.Google ScholarDigital Library
- Philip J. Guo. 2017. Older adults learning computer programming: Motivations, frustrations, and design opportunities. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 7070--7083.Google ScholarDigital Library
- Google Inc. and Gallup Inc.2016. Diversity Gaps in Computer Science: Exploring the Underrepresentation of Girls, Blacks and Hispanics. http://services.google.com/fh/files/misc/diversity-gaps-in-computer-science-report.pdf.Google Scholar
- Judith E. Jacobs. 2010. Feminist pedagogy and mathematics. In Theories of Mathematics Education. Springer, 435--446.Google Scholar
- Peter Jamieson. 2009. The serious matter of informal learning. Planning for Higher Education 37, 2 (2009), 18.Google Scholar
- Ben Jelen, Anne Freeman, Mina Narayanan, Kate M. Sanders, James Clawson, and Katie A. Siek. 2019. Craftec: Engaging older adults in making through a craft-based toolkit system. In Proceedings of the 13th International Conference on Tangible, Embedded, and Embodied Interaction. ACM, 577--587.Google Scholar
- William Jobe, Christian Östlund, and Lars Svensson. 2014. MOOCs for professional teacher development. In Society for Information Technology & Teacher Education International Conference. Association for the Advancement of Computing in Education (AACE), 1580--1586.Google Scholar
- Caitlin Kelleher and Randy Pausch. 2005. Lowering the barriers to programming: A taxonomy of programming environments and languages for novice programmers. ACM Computing Surveys (CSUR) 37, 2 (2005), 83--137.Google ScholarDigital Library
- Paul Legris, John Ingham, and Pierre Collerette. 2003. Why do people use information technology? A critical review of the technology acceptance model. Information & Management 40, 3 (2003), 191--204.Google ScholarDigital Library
- Dastyni Loksa, Amy J. Ko, Will Jernigan, Alannah Oleson, Christopher J. Mendez, and Margaret M. Burnett. 2016. Programming, problem solving, and self-awareness: Effects of explicit guidance. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 1449--1461.Google Scholar
- Susan Loucks-Horsley, Katherine E. Stiles, Susan Mundry, Nancy Love, and Peter W. Hewson. 2009. Designing Professional Development for Teachers of Science and Mathematics. Corwin Press.Google Scholar
- Wendy Luttrell. 1989. Working-class women’s ways of knowing: Effects of gender, race, and class. Sociology of Education (1989), 33--46.Google Scholar
- Jane Margolis and Allan Fisher. 2003. Unlocking the Clubhouse: Women in Computing. MIT press.Google Scholar
- Jane Margolis and Allen Fisher. 2006. Geek mythology and attracting undergraduate women to computer science. Women in Engineering ProActive Network (2006).Google Scholar
- Jane Margolis and Joanna Goode. 2016. Ten lessons for computer science for all. ACM Inroads 7, 4 (2016), 52--56.Google ScholarDigital Library
- Patricia Morreale, Catherine Goski, Luis Jimenez, and Carolee Stewart-Gardiner. 2012. Measuring the impact of computational thinking workshops on high school teachers. Journal of Computing Sciences in Colleges 27, 6 (2012), 151--157.Google ScholarDigital Library
- Stern Neill and Rebecca Etheridge. 2008. Flexible learning spaces: The integration of pedagogy, physical design, and instructional technology. Marketing Education Review 18, 1 (2008), 47--53.Google ScholarCross Ref
- Adam E. Nir and Ronit Bogler. 2008. The antecedents of teacher satisfaction with professional development programs. Teaching and Teacher Education 24, 2 (2008), 377--386.Google ScholarCross Ref
- Joslenne Peña and Mary Beth Rosson. 2019. Reaching out to diverse learners with non-formal workshops on computing concepts and skills. In Proceedings of the 2019 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). IEEE, 193--197.Google ScholarCross Ref
- Jean Piaget. 2013. The Construction of Reality in the Child. Routledge.Google Scholar
- Thomas W. Price and Tiffany Barnes. 2015. Comparing textual and block interfaces in a novice programming environment. In Proceedings of the 11th Annual International Conference on International Computing Education Research. ACM, 91--99.Google Scholar
- Michael Prince. 2004. Does active learning work? A review of the research. Journal of Engineering Education 93, 3 (2004), 223--231.Google ScholarCross Ref
- Vennila Ramalingam, Deborah LaBelle, and Susan Wiedenbeck. 2004. Self-efficacy and mental models in learning to program. In ACM SIGCSE Bulletin, Vol. 36. ACM, 171--175.Google ScholarDigital Library
- Carolyn M. Shrewsbury. 1987. What is feminist pedagogy?Women’s Studies Quarterly 15, 3/4 (1987), 6--14.Google Scholar
- Laurel Smith-Doerr, Sharla N. Alegria, and Timothy Sacco. 2017. How diversity matters in the US science and engineering workforce: A critical review considering integration in teams, fields, and organizational contexts. Engaging Science, Technology, and Society 3 (2017), 139--153.Google ScholarCross Ref
- Michael Stephens and Kyle M. L. Jones. 2014. MOOCs as LIS professional development platforms: Evaluating and refining SJSU’s first not-for-credit MOOC. Journal of Education for Library and Information Science (2014), 345--361.Google Scholar
- Banu Subramaniam and Catherine Hurt Middlecamp. 1999. What is feminist pedagogy? Useful ideas for teaching chemistry. Journal of Chemical Education 76, 4 (1999), 520.Google ScholarCross Ref
- Andrea H. Tapia, Rosalie Ocker, Mary Beth Rosson, and Bridget Blodgett. 2011. Good bones: Anthropological scientific collaboration around computed tomography data. In Proceedings of the 2011 iConference. 402--409.Google ScholarDigital Library
- Timothy Teo. 2011. Technology Acceptance in Education. Springer Science & Business Media.Google Scholar
- Roli Varma. 2010. Why so few women enroll in computing? Gender and ethnic differences in students’ perception. Computer Science Education 20, 4 (2010), 301--316.Google ScholarCross Ref
- Sara Vogel, Rafi Santo, and Dixie Ching. 2017. Visions of computer science education: Unpacking arguments for and projected impacts of CS4All initiatives. In Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education. 609--614.Google ScholarDigital Library
- Lev Semenovich Vygotsky. 1980. Mind in Society: The Development of Higher Psychological Processes. Harvard University Press.Google Scholar
- John Wall and Vian Ahmed. 2008. Lessons learned from a case study in deploying blended learning continuing professional development. Engineering, Construction and Architectural Management 15, 2 (2008), 185--202.Google ScholarCross Ref
- Jennifer Wang, Hai Hong, Jason Ravitz, and Marielena Ivory. 2015. Gender differences in factors influencing pursuit of computer science and related fields. In Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education. ACM, 117--122.Google ScholarDigital Library
- Kathleen Weiler. 1991. Freire and a feminist pedagogy of difference. Harvard Educational Review 61, 4 (1991), 449--475.Google ScholarCross Ref
- David Weintrop, David C. Shepherd, Patrick Francis, and Diana Franklin. 2017. Blockly goes to work: Block-based programming for industrial robots. In Proceedings of the 2017 IEEE Blocks and Beyond Workshop (B&B). IEEE, 29--36.Google ScholarCross Ref
- Susan Wiedenbeck. 2005. Facilitators and inhibitors of end-user development by teachers in a school. In Proceedings of the 2005 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC’05). IEEE, 215--222.Google ScholarDigital Library
- Brenda Cantwell Wilson. 2002. A study of factors promoting success in computer science including gender differences. Computer Science Education 12, 1–2 (2002), 141--164.Google ScholarCross Ref
- Nan Zang and Mary Beth Rosson. 2008. What’s in a mashup? And why? Studying the perceptions of web-active end users. In Proceedings of the 2008 IEEE Symposium on Visual Languages and Human-Centric Computing. IEEE, 31--38.Google ScholarDigital Library
Index Terms
- After-Hours Learning: Workshops for Professional Women to Learn Web Development
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