• Publications
  • Influence
Practitioners Teaching Data Science in Industry and Academia: Expectations, Workflows, and Challenges
TLDR
We interviewed 20 data scientists who teach in settings ranging from small-group workshops to large online courses. Expand
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How I Learned to be Secure: a Census-Representative Survey of Security Advice Sources and Behavior
TLDR
This paper rigorously investigates how users' security beliefs, knowledge, and demographics correlate with their sources of security advice, and how all these factors influence security behaviors. Expand
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Where is the Digital Divide?: A Survey of Security, Privacy, and Socioeconomics
TLDR
We use logistic regression to investigate how users’ advice sources, SES, and resources relate to the security and privacy experiences they report. Expand
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How Well Do My Results Generalize? Comparing Security and Privacy Survey Results from MTurk and Web Panels to the U.S.
Security and privacy researchers often rely on data collected from Amazon Mechanical Turk (MTurk) to evaluate security tools, to understand users’ privacy preferences, to measure online behavior, andExpand
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How Well Do My Results Generalize? Comparing Security and Privacy Survey Results from MTurk, Web, and Telephone Samples
TLDR
We compare users' self-reports of their security and privacy knowledge, past experiences, advice sources, and behavior across samples collected using MTurk (n=480), a census-representative web-panel, and a probabilistic telephone sample. Expand
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Asking for a Friend: Evaluating Response Biases in Security User Studies
TLDR
In this work, we systematically compare real-world measurement data to survey results, focusing on an exemplar, well-studied security behavior: software updating. Expand
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Students, systems, and interactions: synthesizing the first four years of learning@scale and charting the future
TLDR
We survey all four years of papers published so far at the Learning at Scale conference in order to reflect on the major research areas that have been investigated and to chart possible directions for future study. Expand
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The Democratization of Data Science Education
Abstract Over the last three decades, data have become ubiquitous and cheap. This transition has accelerated over the last five years and training in statistics, machine learning, and data analysisExpand
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End-User Programmers Repurposing End-User Programming Tools to Foster Diversity in Adult End-User Programming Education
  • Sean Kross, P. Guo
  • Computer Science
  • IEEE Symposium on Visual Languages and Human…
  • 1 October 2019
TLDR
Efforts to improve diversity in computing have mostly focused on K-12 and university student populations, so there is a lack of research on how to provide these benefits to adults who are not in school. Expand
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Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts
TLDR
We present a comparison of the validity of well-known readability measures and introduce a novel approach, Smart Cloze, which is designed to address shortcomings of existing measures. Expand
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