Mark Joseph Guzdial
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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. -
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. -
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. -
Ubiquitous Computing
Lecture Notes in Computer Science 2201 Ubicomp 2001: Ubiquitous Computing International Conference Atlanta, Georgia, USA, September 30 - October 2, 2001 Proceedings Bearbeitet von Gregory D Abowd, Barry Brumitt, Steven Shafer 1. Auflage 2001. Taschenbuch. XIII, 375 S. Paperback ISBN 978 3 540 42614 1 Format (B x L): 15,5 x 23,5 cm Gewicht: 1210 g Weitere Fachgebiete > EDV, Informatik > Informationsverarbeitung > Ambient Intelligence, RFID Zu Inhaltsverzeichnis schnell und portofrei erhältlich bei Die Online-Fachbuchhandlung beck-shop.de ist spezialisiert auf Fachbücher, insbesondere Recht, Steuern und Wirtschaft. Im Sortiment finden Sie alle Medien (Bücher, Zeitschriften, CDs, eBooks, etc.) aller Verlage. Ergänzt wird das Programm durch Services wie Neuerscheinungsdienst oder Zusammenstellungen von Büchern zu Sonderpreisen. Der Shop führt mehr als 8 Millionen Produkte. Preface Ten years ago, Mark Weiser’s seminal article, ”The Computer of the 21st Cen- tury,” was published by Scientific American. In that widely cited article, Mark described some of the early results of the Ubiquitous Computing Project that he lead at Xerox PARC. This article and the initial work at PARC has inspired a large community of researchers to explore the vision of ”ubicomp”. The variety of research backgrounds represented by researchers in ubicomp is both a blessing and a curse. It is a blessing because good solutions to any of the significant prob- lems in our world require a multitude of perspectives. That Mark’s initial vision has inspired scientists with technical, design, and social expertise increases the likelihood that as a community we will be able to build a new future of inter- action that goes beyond the desktop and positively impacts our everyday lives. -
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. -
Anhong Guo's Curriculum Vitae
Anhong Guo Curriculum Vitæ Bob and Betty Beyster Building 3741 https://guoanhong.com 2260 Hayward Street +1 (678) 899-3981 Ann Arbor, MI 48109 USA [email protected] Academic Positions 01/2021 – University of Michigan, Ann Arbor Assistant Professor, Computer Science and Engineering (EECS); School of Information (by courtesy) 09/2020 – Carnegie Mellon University 12/2020 Postdoctoral Fellow, Human-Computer Interaction Institute, School of Computer Science Education 08/2014 – Carnegie Mellon University 08/2020 Ph.D. in Human-Computer Interaction M.S. in Human-Computer Interaction Human-Computer Interaction Institute, School of Computer Science Thesis: Human-AI Systems for Visual Information Access Advisor: Jeffrey P. Bigham; Committee: Chris Harrison, Jodi Forlizzi, and Meredith Ringel Morris 08/2012 – Georgia Institute of Technology 05/2014 M.S. in Human-Computer Interaction School of Interactive Computing Thesis: BeyondTouch: Extending the Input Language with Built-in Sensors on Commodity Smartphones Advisor: Gregory Abowd 09/2008 – Beijing University of Posts and Telecommunications (BUPT) 06/2012 B.Eng. in Electronic Information Engineering School of Information and Communication Engineering Awards and Honors 2021 CHI 2021 Best Paper Honorable Mention [C.23] 2021 Forbes’ Top 30 Scientists Under 30 (‘30 Under 30’) 2020 ASSETS 2020 Best Paper Nominee [C.21] 2019 ASSETS 2019 Best Artifact Award [C.17] 2018 CMU Swartz Innovation Fellowship 2018 McGinnis Venture Capital Award 2017 Snap Inc. Research Fellowship 2017 W4A 2017 Paciello Group Accessibility Challenge Delegates Award [A.5] 2016 Qualcomm Innovation Fellowship Finalist 2016 MobileHCI 2016 Best Paper Honorable Mention [C.8] 2014 ISWC 2014 Best Paper Honorable Mention [C.1] Peer-Reviewed Conference and Journal Papers Anhong Guo — curriculum vitæ, page 1 [C.24] Solon Barocas, Anhong Guo, Ece Kamar, Jacquelyn Krones, Meredith Ringel Morris, Jennifer Wortman Vaughan, Duncan Wadsworth, Hanna Wallach. -
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. -
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. -
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]. -
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). -
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. -
Curriculum Vitae
Sunyoung Kim | Curriculum Vitae Assistant Professor Department of Library & Information Science School of Communication & Information Rutgers University, the State University of New Jersey [email protected] http://comminfo.rutgers.edu/~sk1897 RESEARCH INTERESTS Human-Computer Interaction, Ubiquitous computing, Technology for Health care, Everyday wellbeing & Environmental sustainability Application areas: Chronic healthcare, Everyday health and wellbeing, Healthy aging, Citizen science, Technology empowerment, Environmental sustainability, Environmental protection, Community wellbeing EDUCATION AND PROFESSIONAL PREPARATION 2014-2016 Postdoctoral fellow, Center for Research on Computation and Society John A. Paulson School of Engineering and Applied Sciences Harvard University, Cambridge, MA, USA Advisors: Krzysztof Z. Gajos & Barbara J. Grosz 2014 Ph.D. in Human-Computer Interaction Human-Computer Interaction Institute, School of Computing Carnegie Mellon University, Pittsburgh, PA, USA Committee: Eric Paulos (co-chair), Jennifer Mankoff (co-chair), Niki Kittur, Jason Ellis Thesis: “SENSR: a flexible framework for authoring mobile data-collection tools for citizen science” (C.8, C.10) 2008 M.S. in Human-Computer Interaction School of Computing Georgia Institute of Technology, Atlanta, GA, USA Advisor: Gregory Abowd Thesis: “Are you sleeping?: sharing portrayed sleeping status within a social network” (C.1) 2000 B.S. in Architecture & Housing and Interior Design Yonsei University, Seoul, Korea PROFESSIONAL EXPERIENCES 2016 - present