Explaining Gendered Participation in Computer Science Education By

Total Page:16

File Type:pdf, Size:1020Kb

Explaining Gendered Participation in Computer Science Education By Explaining Gendered Participation in Computer Science Education by Elizabeth Patitsas A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Graduate Department of Computer Science University of Toronto c Copyright 2019 by Elizabeth Patitsas Abstract Explaining Gendered Participation in Computer Science Education Elizabeth Patitsas Doctor of Philosophy Graduate Department of Computer Science University of Toronto 2019 Amongst scientific fields, computer science (CS) is the only one in which the percentage of women undergraduates has decreased since the 1980s; in the US and Canada, this percentage has hovered around 15%. Since the 1990s, a great deal of effort and resources have been put toward trying to improve the representation of women in computing. Unfortunately, these wide-spread efforts have not resulted in any macro-scale improvements. Using theoretical and conceptual tools from critical sociology, policy analysis, and systems thinking, I examine the question of why the efforts to improve gender diversity in CS education have not had a more discernible effect on a macro scale. I begin by classifying gender diversity initiatives, and observe that the most prevalent types of initiatives are low-leverage. I examine the history of women in computing, finding that enrolment booms are key times for gendering participation: when universities faced enrolment booms in the late 1980s and dot-com era, the percentage of women decreased, in part from gatekeeping measures enacted by CS departments. And as CS is currently facing its third enrolment boom, I survey CS faculty to see what factors are influencing their current policy discussions about enrolments. I find that diversity is seldom considered, nor is history; this approach to policymaking could exacerbate the gendered participation in CS. I also extend Etzkowitz et al.s framework of \generations" of women in STEM, noting that differ- ent generations of women in CS have had differing and conflicting goals for gender equality. Through re-examining the historical variations in gendered participation in computing, and considering the con- temporanous global variations, I determine that Anne Witzs occupational closure theory provides an explanation for the historico-geographical variations. I find that policies (e.g. educational gatekeeping) and discourses (e.g. you need to be brilliant to be a computer scientist) are the primary ways in which the boundaries of CS are closed. For CS to improve its gender diversity, we need to make higher leverage changes; identifying policies and discourses as critical levers allows for change-agents to more effectively push for gender diversity. ii For all the women who wanted to major in CS but were told they could not transfer into the field. iii Acknowledgements I have very many people to thank for helping me finish this thesis. A heartfelt thank you to my advisors, Steve Easterbrook and Michelle Craig, for guiding and inspiring me through this challenging journey. This effort would have been impossible without you. And to all those who served on my thesis committee (in its various iterations) and my thesis examiners, thank you for your time and feedback: Mark Guzdial, Sally Fincher, Linda Muzzin, Nina Bascia, Christoph Becker, Kelly Lyons and Lecia Barker. Thank you to Andrew Petersen; you have been an important mentor my whole time in graduate school, and from start to finish you have always been there for me. Thank you to James Iveniuk for being my strong tie to the sociological community, and an invaluable source of sociological perspective. To Jennifer Campbell, Paul Gries, Diane Horton, Fran¸coisPitt, Karen Reid, and Jacqueline Smith, thank you for always having your doors open when I wanted advice, and for attending more practice talks than I can count. Thank you to Greg Wilson: you keep going out of your way to help with my career progress and to broaden the kind of work that I do. To Steve Wolfman and Rachel Pottinger, thank you for being my links back to UBC | as well as key sources of support and advice. Writing a thesis by publication has connected me to many wonderful colleagues internationally. Andy Ko, Ben Shapiro, Brian Dorn, Colleen Lewis, Katrina Falkner, Nick Falkner, Leigh Ann Sudol, Jan Vahrenhold, and Dan Zingaro have all gone out of their ways to support and keep me in the CS education community, particularly in times when I felt out of place. I am lucky to have you all as colleagues. And I would have never gotten into this community if it were not for Steve Wolfman bringing me to my first SIGCSE in 2008 and starting me down the path of CS education research, as well as for Mikey Goldweber for organizing the ITiCSE 2012 working group that cemented my regular attendance at ACM SIGCSE events. And thank you to Yifat Ben-David Kolikant for giving me hands-down the most incisive and helpful feedback from an ICER doctoral consortium I have ever received. My fellow CS education graduate students have also been a boon | a thank you to Francisco Castro, Sebastian Dzaiallas, Samantha Breslin, Barbara Ericson, Jean Griffin, Arto Hellas, Briana Morrison, Miranda Parker, and Mark Sherman for being such inspiring peers and friendly conference companions. And from Toronto I am grateful for the fellow graduate students who kept giving me advice, joining me for lunch, and coming to my practice talks: Aditya Bhargava, Jackie Cheung, Siavash Kazemian, Daniel Levy, Jono Lung, Soukayna Mouatadid, Chloe Pou-Prom, Sean Robertson, Sigrid Roman, Mahtab Sabet, Samar Sabie, Ioan Stefanovici, Patricia Thaine, Muuo Wambua, and Shunan Zhao. All my conference travel would not have been possible without all the cat- and plant- sitting provided by Mischa Auerbach-Ziogas, Aditya Bhargava (again), Natalie Caine, Jackie Cheung (again), Marie- Andr´eeCoulombe, Erin Delisle, Colleen Duffy, Michalis Famelis, Daniel Fryer, Naomi Hazlett, Abraham Heifets, Marek Janicki, Peter McMahan, Andrew Perrault, Patricia Thaine (again), and Rory Tulk. And of course, this thesis was in part possible thanks to the cuddling, purring, and general cuteness of my feline companions Geordie and Marjane. I also thank Yanni and Carol Patitsas for letting me use their cabin for writing retreats. My long-term boyfriend, Aditya Bhargava, has been a major source of emotional support during this journey. Thank you for all the proofreading. Thank you for all the practice talks. Thank you for cooking me delicious meals. Thank you for being a shoulder to cry on. Thank you for taking breaks with me. Thank you going hiking with me when I needed time to think and meditate on this work. Thank you for taking me to doctor's appointments and scheduling physio/massage appointments for me. Thank you iv for looking after me when I felt unwell. Thank you for everything. The friendship of Mischa Auerbach-Ziogas, Jesse Berlin, Jackie Cheung, Naomi Hazlett, James Ive- niuk, Vega Janic, Marek Janicki, and Natasha Mhatre were all integral in making me feel at home in Toronto | you are all sorely missed in Montr´eal. (Except Jackie, who is also here in Montr´eal| so thank you for always being a step ahead of me career-wise, so I can learn from your experience!) And these acknowledgements would be incomplete without a note of the love and care from my West Coast friends Simon Hastings, Sonja Babovic, and Kelsey Allen. You three are my \life committee" and I am grateful to have had you three in my life for all these years. And finally, a thank you to my parents, Cathy Meyer and Stathis Patitsas, for all your love and support. I finally did it! v Contents 0 How To Read This Thesis 1 1 Introduction 2 1.1 Background . .3 1.2 Portfolio Format . .7 1.3 Contributions . .9 2 Leverage Points: Are Diversity Initiatives Changing The System? 11 2.1 Psychological Thinking . 11 2.2 Systems Thinking . 12 2.3 Background: The Cases of Women in Computing at Harvey Mudd College and Carnegie Mellon University . 12 3 The Historical Context: Enrolment Booms Are Key Times for Diversity 26 3.1 Soft Systems Thinking . 26 3.2 Marxist Thinking . 27 4 The Current Enrolment Boom: Policymakers Are Not Considering Diversity 34 5 The Historical Context Revisited: The Occupational Closure of Computing 37 5.1 A Neo-Weberian Lens . 37 6 Are CS Grades Bimodal? Examining A Common Discourse in Computing 66 6.1 The Brilliance Discourse . 66 6.2 Strategic Positivism . 67 6.3 Post-Publication Notes . 68 7 Discussion 78 7.1 A Theory of Gendered Participation in Computing . 78 7.2 Re-examining Earlier Work . 80 7.3 Future Work . 81 7.4 Conclusions . 83 Bibliography 83 vi Chapter 0 How To Read This Thesis This thesis is written in the portfolio style: a series of papers on my research topic, with bookending chapters and some coupling text in between. The publications are organized approximately chronologically by when I did the bulk of the work on the paper. As a result, reading the whole thing from start to finish will give the reader a sense of my intellectual journey. There are three ways I would recommend reading this document, depending on one's goals: 1. To get a quick understanding of the main takeaways of this corpus, with a minimal time commitment (a) Read the abstract (b) Read chapter 5 as an introduction/background (c) Read chapter 4 to get a sense of the empirical work I did and its implications for educators and policy makers 2. To get a fuller understanding of the main research findings of this corpus, perhaps because you started the option above and then wanted more. (a) Read the abstract (b) Read chapter 5 as an introduction/background (c) Read chapter 4 and chapter 6 for substantive findings (d) Read chapter 7 to cap it off 3.
Recommended publications
  • Daniel D. Garcia
    DANIEL D. GARCIA [email protected] http://www.cs.berkeley.edu/~ddgarcia/ 777 Soda Hall #1776 UC Berkeley Berkeley, CA 94720-1776 (510) 517-4041 ______________________________________________________ EDUCATION MASSACHUSETTS INSTITUTE OF TECHNOLOGY Cambridge, MA B.S. in Computer Science, 1990 B.S. in Electrical Engineering, 1990 UNIVERSITY OF CALIFORNIA, BERKELEY Berkeley, CA M.S. in Computer Science, 1995 Ph.D. in Computer Science, 2000. Area: computer graphics and scientific visualization. Brian Barsky, advisor. TEACHING AWARDS • Outstanding Graduate Student Instructor in Computer Science (1992) • Electrical Engineering and Computer Science Outstanding Graduate Student Instructor (1997) • Computer Science Division Diane S. McEntyre Award for Excellence in Teaching (2002) • Computer Science Division IT Faculty Award for Excellence in Undergraduate Teaching (2005) • UC Berkeley “Everyday Hero” Award (2005) • Highest “teaching effectiveness” rating for any EECS lower division instructor, ever (6.7, since tied) (2006) • CS10: The Beauty and Joy of Computing chosen as 1 of 5 national pilots for AP CS: Principles course (2010) • CS10: The Beauty and Joy of Computing chosen as a University of California Online Course Pilot (2011) • Association of Computing Machinery (ACM) Distinguished Educator (2012) • Top 5 Professors to Take Classes with at UC Berkeley, The Black Sheep Online (2013) • CS10 becomes first introductory computing class at UC Berkeley with > 50% women (2013,2014) • Ten Most Popular MOOCs Starting in September 2015 and January 2016, Class Central (2015, 2016) • LPFI's Lux Award for being “Tech Diversity Champion” (2015) • NCWIT’s Undergraduate Research Mentoring (URM) Award (2016) • NCWIT’s Extension Services Transformation Award, Honorable Mention (2016) • CS10 becomes first introductory computing class at UC Berkeley with > 60% women (2017) • SAP Visionary Member Award (2017) • Google CS4HS Ambassador (2017) • CS10 becomes first introductory computing class at UC Berkeley with > 65% women (2018) Updated through 2018-07-01 1 / 28 Daniel D.
    [Show full text]
  • Mark Guzdial School of Interactive Computing, College of Computing, Georgia Institute of Technology Thursday, January 31, 2013 9:00-10:00Am State Room East, IMU
    Mark Guzdial School of Interactive Computing, College of Computing, Georgia Institute of Technology Thursday, January 31, 2013 9:00-10:00am State Room East, IMU Topic: Three Lessons in Teaching Computing To Everyone My colleagues and I have been studying how to teach computer science, to CS majors, Abstract: to non-CS undergraduates, and to adult professionals. In this talk, I’ll talk about some of what we’ve learned, organized around three lessons. Lesson #1: We typically teach computer science too abstractly, and by teaching it in a context (e.g., media, robots, Nintendo GameBoys, Photoshop), we can dramatically improve success (retention and learning) for both traditional and non-traditional CS learners. Lesson #2: Collaboration can create opportunities for learning, but classroom culture (e.g., competition) trumps technology (Wikis). Lesson #3: Our greatest challenge in computer science education is improving teaching, and that will require changes in high schools, in public policy, and in universities. Biography: Mark Guzdial is a Professor in the School of Interactive Computing in the College of Computing at Georgia Institute of Technology. His research focuses on learning sciences and technology, specifically, computing education research. He has published several books on the use of media as a context for learning computing. He was the original developer of the "Swiki" which was the first wiki designed for educational use. He was awarded a joint Ph.D. degree in Education and Computer Science from the University of Michigan in 1993. He serves on the ACM's Education Council and the Special Interest Group in CS Education (SIGCSE) Board, and is on the editorial boards of the "Journal of the Learning Sciences," "ACM Transactions on Computing Education," and "Communications of the ACM." With his wife and colleague, Barbara Ericson, he received the 2010 ACM Karl V.
    [Show full text]
  • 42 a Systematic Investigation of Replications in Computing
    A Systematic Investigation of Replications in Computing Education Research QIANG HAO, DAVID H. SMITH IV, NAITRA IRIUMI, and MICHAIL TSIKERDEKIS, Western Washington University AMY J. KO, University of Washington As the societal demands for application and knowledge in computer science (CS) increase, CS student en- rollment keeps growing rapidly around the world. By continuously improving the efficacy of computing education and providing guidelines for learning and teaching practice, computing education research plays a vital role in addressing both educational and societal challenges that emerge from the growth of CS students. Given the significant role of computing education research, it is important to ensure the reliability ofstudies in this field. The extent to which studies can be replicated in a field is one of the most important standards for reliability. Different fields have paid increasing attention to the replication rates of their studies, butthe replication rate of computing education was never systematically studied. To fill this gap, this study inves- tigated the replication rate of computing education between 2009 and 2018. We examined 2,269 published studies from three major conferences and two major journals in computing education, and found that the overall replication rate of computing education was 2.38%. This study demonstrated the need for more repli- cation studies in computing education and discussed how to encourage replication studies through research initiatives and policy making. CCS Concepts: • Social and professional topics → Computing education; Additional Key Words and Phrases: Computing education, replications, computer science education, replica- tion rate, assessment, evaluation, content analysis, educational policy, research methodology ACM Reference format: Qiang Hao, David H.
    [Show full text]
  • Georgia Institute of Technology Advisor Advisor Thesis
    College of Computing Georgia Institute of Technology 801 Atlantic Dr NW, Atlanta, GA 30332 [email protected] kantwon.com Robotics Broadening Participation in Computing Education Technology Artificial Intelligence Assistive Technology GEORGIA INSTITUTE OF TECHNOLOGY Present Human Computer Interaction & Learning Sciences and Technology ADVISOR Dr. Ayanna MacCalla Howard, Chair of the School of Interactive Computing 2016-2018 ADVISOR Dr. Mark Guzdial, Interactive Computing THESIS Nudges Aren’t Enough! Measuring and Influencing Self-efficacy and Belongingness of Students in Introductory Computer Science Courses 2015-2016 VLSI, Packaging, and Digital Design 2011-2015 VLSI and Digital Design GOOGLE Summer 2019 Designed, developed, and executed user study and data analysis for eye-tracking research project within the education realm. LEVELED UP Summer 2018 Start-up designed to create a one-stop-shop of STEM opportunities for minority students. Recipient of $20,000 seed funding from Georgia Tech INTEL CORPORATION Summer 2018 Designed Python-based network visualizations used by over 50 engineers in the Xeon supercomputer architecture team Proposed future system-design recommendations to increase the usability and efficiency of graph visualizations Summer 2017 Created educational lesson plans for Intel’s Future Skills program to expose underrepresented minority students to STEM. Topics include internet of things, drones, and introductory programming. Curricula have been shipped nation-wide and are used by hundreds of learners. Summer 2016 Designed and implemented JavaScript and AngularJS based features in task organization web application used by over 30,000 Intel employees. Summer 2015 Produced data-mining TCL script to analyze design change lists to increase efficiency of chip-design timing convergence INSTRUCTOR Fall 2016-Present 1,000+ student undergraduate course focused on introducing programming concepts including data manipulation, data visualization, algorithm design, and graph theory.
    [Show full text]
  • MIRANDA C. PARKER, PH.D. Postdoctoral Scholar University of California, Irvine [email protected] Mirandacparker.Com
    MIRANDA C. PARKER, PH.D. Postdoctoral Scholar University of California, Irvine [email protected] mirandacparker.com EDUCATION Ph.D., Human-Centered Computing August 2014 - December 2019 Georgia Institute of Technology, Atlanta, GA Advisor: Mark Guzdial Dissertation Title: \An Analysis of Supports and Barriers to Offering Computer Science in Georgia Public High Schools" Dissertation Committee Members: Betsy DiSalvo, Rebecca E. Grinter, Willie Pearson, Jr., Leigh Ann DeLyser Bachelor of Science, Computer Science August 2010 - May 2014 Harvey Mudd College, Claremont, CA Graduated with Honors in Computer Science PROFESSIONAL AND RESEARCH EXPERIENCE 2020-present University of California, Irvine Irvine, CA Postdoctoral Scholar, School of Education (with Mark Warschauer) Spring 2020 Georgia Institute of Technology, Atlanta, GA Postdoctoral Fellow, Constellations Center 2014-2019 Georgia Institute of Technology, Atlanta, GA Graduate Research Assistant, School of Interactive Computing (with Mark Guzdial) Summer 2016 Code.org Research Intern, K-12 Computer Science Framework RESEARCH PUBLICATIONS AND PRESENTATIONS Peer-Reviewed Conference Papers Miranda C. Parker, Amber Solomon, Brianna Pritchett, David A. Illingworth, Lauren E. Margulieux, Mark Guzdial. \Socioeconomic Status and Computer Science Achievement: Spatial Ability as a Mediating Variable in a Novel Model of Understanding," ICER, 2018. Miranda C. Parker, Kantwon Rogers, Barbara J. Ericson, Mark Guzdial. \Students and Teachers Use An Online AP CS Principles EBook Differently: Teacher Behavior Consistent with Expert Learners," ICER, 2017. Miranda C. Parker, Leigh Ann DeLyser. \Concepts and Practices: Designing and Developing A Modern K{12 CS Framework," SIGCSE, 2017. Miranda C. Parker, Mark Guzdial, Shelley Engleman. \Replication, Validation, and Use of a Language Inde- pendent CS1 Knowledge Assessment," ICER, 2016.
    [Show full text]
  • Students and Teachers Use an Online AP CS Principles Ebook Di Erently
    Session 4: Tool-mediated Learning ICER’17, August 18–20, 2017, Tacoma, WA, USA Students and Teachers Use An Online AP CS Principles EBook Dierently Teacher Behavior Consistent with Expert Learners Miranda C. Parker Kantwon Rogers Georgia Institute of Technology Georgia Institute of Technology 85 5th St NW 85 5th St NW Atlanta, Georgia 30332 Atlanta, Georgia 30332 [email protected] [email protected] Barbara J. Ericson Mark Guzdial Georgia Institute of Technology Georgia Institute of Technology 801 Atlantic Drive 85 5th St NW Atlanta, Georgia 30332 Atlanta, Georgia 30332 [email protected] [email protected] ABSTRACT to developing learning opportunities that are catered to teacher Online education is an important tool for supporting the growing learning styles. rough all of this, we recognize that there are number of teachers and students in computer science. We created time limitations for teacher availability. If we are going to provide two eBooks containing interactive content for Advanced Placement professional development opportunities to all teachers, our primary Computer Science Principles, one targeted at teachers and one at challenge is to provide learning opportunities to in-service teach- students. By comparing the eBook usage paerns of these popula- ers so they can learn CS in their available time [1]. One strategy tions, including activity usage counts, transitions between activities, is to provide ebooks to teachers. Books are familiar to teachers and pathways through the eBook, we develop a characterization and teachers can pace their way through books. EBooks can use of how student use of the eBook diers from teacher use.
    [Show full text]
  • Novices' Learning Barriers When Using Code Examples in Open
    Novices’ Learning Barriers When Using Code Examples in Open-Ended Programming Wengran Wang, Archit Kwatra, James Skripchuk, Neeloy Gomes, Alexandra Milliken, Chris Martens, Tiffany Barnes, Thomas Price North Carolina State University Raleigh, NC, USA ABSTRACT Open-ended projects can prove very difficult for novices [14], in Open-ended programming increases students’ motivation by allow- part because they encourage novices to design unique programs ing them to solve authentic problems and connect programming that address their interests and goals, which may require them to use to their own interests. However, such open-ended projects are also new programming features, or accomplish new tasks, beyond what challenging, as they often encourage students to explore new pro- they have already learned. Novices can also struggle to combine gramming features and attempt tasks that they have not learned the individual programming concepts they have learned (e.g. loops, before. Code examples are effective learning materials for students variables, etc.) into a complete program [14], and they may lack and are well-suited to supporting open-ended programming. How- experience making use of code blocks or libraries offered by the ever, there is little work to understand how novices learn with language (i.e. APIs [10]). examples during open-ended programming, and few real-world de- Code examples are a common way for programmers to learn ployments of such tools. In this paper, we explore novices’ learning new APIs and coding patterns [4], and are also considered one of barriers when interacting with code examples during open-ended the most useful learning material for novices [24].
    [Show full text]
  • David J. Malan
    David J. Malan 33 Oxford Street, Cambridge, Massachusetts, 02138 USA [email protected] https://cs.harvard.edu/malan education Harvard University, School of Engineering and Applied Sciences 2002 – 2007 Doctor of Philosophy (Ph.D.), Computer Science. Research in cybersecurity and digital forensics with focus on detection of patterns in large datasets. Dissertation on Rapid Detection of Botnets through Collaborative Networks of Peers. Advised by Michael D. Smith. Harvard University, Graduate School of Arts and Sciences 2002 – 2004 Master of Science (S.M.), Computer Science. Research in sensor networks for emergency medical care. Harvard College 1995 – 1999 Bachelor of Arts (A.B.), cum laude, Computer Science; 3.9 of 4.0 GPA in field. Related studies in government, micro- and macro-economics, finance, statistics and probability, multivariate calculus, and linear algebra. research interests Cybersecurity, digital forensics, botnets, computer science education, distance learning, collaborative learning, computer-assisted instruction. experience Harvard University, Faculty of Arts and Sciences, Graduate School of Education 2007 – Gordon McKay Professor of the Practice of Computer Science, Member of the Faculty of Education. Senior member of the Faculty of Arts and Sciences. Instructor for CS50, largest course at Harvard University with 763 students as of 2019 (+478% since 2006) and largest MOOC on edX with 3M+ registrants, also offered at Yale University. Manage staff of 80+. Oversee community of 150+ high schools teaching CS50 AP, College Board-endorsed adaptation of course. Instructor for CS50 for MBAs at Harvard Business School and CS50 for JDs at Harvard Law School, higher-level adaptations of course for professional audiences. Mindset Media, LLC 2008 – 2011 Chief Information Officer (CIO).
    [Show full text]
  • Teaching the Nintendo Generation to Program Mark Guzdial, Elliot Soloway
    Teaching the Nintendo Generation to Program Mark Guzdial, Elliot Soloway While the phrase “New Economy” doesn’t hold the same promise that it did for the dot- commers a couple years ago, we all still recognize that Information Technology has become the backbone of the world’s economy. The National Science Foundation’s Information Technology Research program was developed in response to the PITAC (1999) report which said as much. Even in the down-turned economy, there are still huge numbers of IT jobs that are going unfilled. Of course, none of this is news for those of us in the trenches teaching Computer Science. Our enrollments are bulging at the seams. We can’t get enough faculty to cover the loads. Despite those enormous enrollments, there are lots of indications that we’re not doing enough, or not doing the right things, to meet the demand for a diverse, well-educated, large workforce of Computer Science professionals. Start asking around—we’re hearing about drop-out/failure rates in CS1 courses in the 15-30% range. A just published report in the ACM SIGCSE Bulletin from a working group at ITICSE 2001 this last summer found shockingly low performance on simple programming problems, even among second year students, at four schools in three different countries (McCracken et al., 2001). (These results echo our research from 15 years ago, so it’s not clear that we ever have figured out how to teach programming.) The American Association for University Women’s (AAUW) report, Tech-Savvy: Educating Girls in the Computer Age (2000) points out that large numbers of women drop out or simply fail to enroll in Computer Science courses because they perceive CS courses to be overly technical, with little room for individual creativity Why are we doing such a poor job at getting and keeping students in Computer Science? Here’s our suggestion: computer science educators are using an out-dated view of computing and students.
    [Show full text]
  • Design Process for a Non-Majors Computing Course
    Design Process for a Non-majors Computing Course Mark Guzdial Andrea Forte College of Computing/GVU College of Computing/GVU Georgia Institute of Technology Georgia Institute of Technology 801 Atlantic Drive 801 Atlantic Drive Atlanta, Georgia Atlanta, Georgia [email protected] [email protected] ABSTRACT course in computing, including a requirement to learn and There is growing interest in computing courses for non-CS use programming. When that decision was made, the only majors. We have recently built such a course that has met class available was our majors-focused CS1 based on the with positive response. We describe our design process, TeachScheme approach[7], which did not adequately meet which includes involvement of stakeholders and identifying the needs of our liberal arts, architecture, and management a context that facilitates learning. We present evaluation students. The course saw low success rates, and the stu- results on success rates (approximately 90% of the students dents and faculty were vocal in their dissatisfaction. We earn an A, B, or C) and impact of the course on students saw this dissatisfaction as an opportunity to create a new over time (80% report that the class has influenced them course and build toward Alan Perlis’ vision of programming more than a semester later). for all students—as a component of a general, liberal edu- cation [8]. The course that we developed, Introduction to Media Com- Categories and Subject Descriptors putation, is an introduction to computing contextualized K.4 [Computers and Education]: Computer and Infor- around the theme of manipulating and creating media.
    [Show full text]
  • Technology for Teaching the Rest of Us
    Technology for Teaching the Rest of Us Mark Guzdial School of Interactive Computing Story • Computing is important for more than just those who choose to major in computing. • Who are “they” (“the rest of us”)? What do they want from CS, and why aren’t they in our classes? How do they now learn CS? • Teaching those who do not want to become software engineers or computer scientists • The Story of Computing for All at Georgia Tech. • Our problem isn’t enrollment. • Meeting the needs of “the rest of us” with technology: 1. Matching or tailoring the context to the person. 2. How to find what they really want and need. 3. Teaching CS concepts without apprenticeship. The typical CS student: Future Software Engineer • To produce reliable, robust, secure software. • To work in interdisciplinary teams. • To use appropriate design notations, such as UML. • To work in multiple programming languages. Taulbee Numbers 2010 CRA Taulbee Survey of PhD- granting institutions! Who wants what CS has to ofer? • Computing is at the core of the modern society and modern economy. • Computing is key to innovation in many disciplines. • Computer Science has a much larger potential audience beyond software developers. • Estimates: ~13 million non-professional programmer/end-user programmers in US by 2012, vs. ~3 million professional software developers (Scaffidi, Shaw, & Myers, 2005) 5 The Two Cultures An atypical CS student: Future computational scientist or engineer • To use computation as a tool to enhance understanding. • To write programs of (at most) 100 lines (most often, 10 lines) for themselves. • They care about the products of the programs, not the programs.
    [Show full text]
  • Guzdial • November, 2009 1 MARK J. GUZDIAL Professor College of Computing Georgia Institute of Technology EDUCATIONAL BACKGROU
    MARK J. GUZDIAL Professor College of Computing Georgia Institute of Technology EDUCATIONAL BACKGROUND Ph.D. 1993 University of Michigan Education and Computer Science and Engineering M.S. 1986 University of Michigan Computer Science and Engineering B.S. 1984 Wayne State University Computer Science EMPLOYMENT HISTORY Professor College of Computing 2005 -Present Georgia Institute of Technology Associate Professor College of Computing 1999 -2005 Georgia Institute of Technology Assistant Professor College of Computing 1993 -1999 Georgia Institute of Technology Member of Technical Staff Bell Communications Research 1984 -1987 CURRENT FIELDS OF INTEREST Computing education research, computer-supported collaborative learning, multimedia composition environments, software-realized scaffolding, log file analysis. Dr. Guzdial's research centers on facilitating project-based learning: student learning through doing. He focuses on computing education. His Contextualized Support for Learning has the goal of enabling collaborative DynaBooks , in reference to the early vision of the computer as a personal tool for creating, experiencing, and sharing dynamic media for learning. A major focus of his research recently has been the development of a media-focused introduction to computing sequence that is particularly successful at broadening participation in computing. Websites of interest: • Home page: http://www.cc.gatech.edu/~mark.guzdial and http://home.cc.gatech.edu/guzdial • Group page: http://home.cc.gatech.edu/csl • Dr. Guzdial directs the NSF Broadening Participation in Computing Alliance, “ Georgia Computes!”: http://www.gacomputes.org • His approach to supporting computing through a media context is called “ Media Computation ”: http://www.mediacomputation.org I. TEACHING A. Courses Taught Computer Supported Collaborative Learning, Computer Music Implementation, Objects and Design, Introduction to Media Computation, Representing Structure and Behavior, Introduction to Educational Technology, Senior Design for Computational Media.
    [Show full text]