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«University of California Los Angeles Bridging the Gap Between Tools for Learning and for Doing Statistics A dissertation submitted in partial ...»

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Hammerman, J. K. and Rubin, A. (2004). Strategies for managing statistical complexity with new software tools. Statistics Education Research Journal, 3(2):12–41.

Hancock, C., Kaput, J. J., and Goldsmith, L. T. (1992). Authentic inquiry with data: Critical barriers to classroom implementation. Educational Psychologist, 27(3):337–364.

Harris Poll (2014). 2014 Wells Fargo millennial study. Technical report, Wells Fargo.

Head, M. L., Holman, L., Lancer, R., Kahn, A. T., and Jennions, M. D. (2015).

The extent and consequences of p-hacking in science. PLoS Biology, 13(3).

Heer, J. (2014). Vega. https://github.com/trifacta/vega.

Heller, S. and Landers, R. (2014). Infographic Designers’ Sketchbooks. Princeton Architectural Press.

Hermans, F. and Murphy-Hill, E. (2015). Enron’s spreadsheets and related emails: A dataset and analysis. In ICSE.

Hesterberg, T. (2014). What teachers should know about the bootstrap: Resampling in the undergraduate statistics curriculum. Technical report, Google.

Hochachka, W. M., Fink, D., and Kelling, S. (2010). Checklist programs as a source of data for bird monitoring: designing analyses and model validations to account for unequal spatial and temporal sampling effort. In Proceedings of the 18th Conference of the European Bird Census Council, volume 23, pages 9–20. European Bird Census Council.

Horton, N., Baumer, B., and Wickham, H. (2014a). Teaching precursors to data science in introductory and second courses in statistics. In ICOTS-9.

Horton, N., Pruim, R., and Kaplan, D. (2014b). A compendium of commands to teach statistics with R. Project MOSAIC.

Hsia, J. I., Simpson, E., Smith, D., and Cartwright, R. (2005). Taming Java for the classroom. In SIGCSE’05.

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Ince, D. C., Hatton, L., and Graham-Cumming, J. (2012). The case for open computer programs. Nature, 482:485–488.

Ingalls, D., Krahn, R., et al. (2013). Lively Web. http://lively-web.org/.

Ipeirotis, P. G. (2010). Analyzing the Amazon Mechanical Turk marketplace.

XRDS: Crossroads, The ACM Magazine for Students, 17(2):16–21.

Ipeirotis, P. G., Provost, F., and Wang, J. (2010). Quality management on Amazon Mechanical Turk. In Proceedings of the ACM SIGKDD Workshop on Human Computation.

Isenberg, P., Bezerianos, A., Dragicevic, P., and Fekete, J.-D. (2011). A study on dual-scale data charts. IEEE Transactions on Visualization and Computer Graphics, 17(12).

Jenkins, H., Clinton, K., Purushotma, R., Robison, A. J., and Weigel, M.

(2009). Confronting the Challenges of Participatory Culture: Media Education for the 21st Century. The MIT Press.

Kader, G. and Mamer, J. (2008). Statistics in the middle grades: Understanding center and spread. Mathematics Teaching in the Middle School, 14(1):38–43.

Kandel, S. et al. (2011a). Research directions in data wrangling: Visualizations and transformations for usable and credible data. Information Visualization, 10(4):271–288.

Kandel, S., Paepcke, A., Hellerstein, J., and Heer, J. (2011b). Wrangler: Interactive visual specification of data transformation scripts. In CHI 2011.

Kanhere, S. S. (2011). Participatory sensing: Crowdsourcing data from mobile smartphones in urban spaces. In 2011 12th IEEE International Conference on Mobile Data Management.

Kaplan, D. and Shoop, L. (2013). Data and computing fundamentals.

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Katz, J. and Andrews, W. (2013). How y’all, youse and you guys talk. The New York Times.

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Kelleher, C. and Pausch, R. (2005). Lowering the barriers to programming: A taxonomy of programming environments and languages for novice programmers. ACM Computing Surveys, 37(2):83–137.

Kennedy, D. (2001). Mathematics and Democracy: The Case for Quantitative Literacy, chapter The Emperor’s Vanishing Clothes, pages 55–60. National Council on Education and the Disciplines.

K¨lling, M. (2010). The Greenfoot programming environment. ACM Transaco tions on Computing Education, 10(4).

Konold, C. (2007). Designing a data analysis tool for learners. In Lovett, M. C.

and Shah, P., editors, Thinking with Data. Lawrence Erlbaum Associates.

Konold, C., Higgins, T., Russell, S. J., and Khalil, K. (2014). Data seen through different lenses. Educational Studies in Mathematics.

Konold, C. and Kazak, S. (2008). Reconnecting data and chance. Technology Innovations in Statistics Education, 2(1).

Konold, C. and Miller, C. D. (2005). TinkerPlots: Dynamic data exploration.

Computer software Emeryville, CA: Key Curriculum Press.

Lang, K., Ganalos, R., Goode, J., Seehorn, D., Trees, F., Phillips, P., and Stephenson, C. (2013). Bugs in the system: Computer science teacher certification in the US. Technical report, Computer Science Teachers Association.

Lee, V. R. and DuMont, M. (2010). An exploration into how physical activity data-recording devices could be used in computer-supported data investigations. International Journal of Computational Math Learning, 15:167–189.

Legacy, M. (2008). AP statistics teacher’s guide. Technical report, The College Board.

Lehrer, R. (2007). Introducing students to data representation and statistics.

In Watson, J. and Beswick, K., editors, Proceedings of the 30th annual conference of the Mathematics Education Research Group of Australia.

Lehrer, R. and Schauble, L. (2007). Contrasting emerging conceptions of distribution in contexts of error and natural variation. In Lovett, M. C. and Shah, P., editors, Thinking with Data. Lawrence Erlbaum Associates.

Leonhardt, D. (@DLeonhardt) (2014). “The most visited page in NYT history is the dialect quiz: http://nyti.ms/1bynb1z. @jshkatz made it. He’s joined our team.”. 14 February 2014, 9:35 a.m. Tweet.

Lin, M. (2012). Comparing two data visualization tools:

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Lincke, J., Krahn, R., Ingalls, D., R¨der, M., and Hirshfeld, R. (2012). The o lively partsbin: A cloud-based repository for collaborative development of active web content. In Proceedings of Collaboration Systems and Technology Track at the Hawaii International Conference on System Sciences (HICSS).

Lock, R. H., Lock, P. F., Morgan, K. L., Lock, E. F., and Lock, D. F. (2012).

Overview of statistics: UnLlocking the power of data. Technical report, John Wiley and Sons.

Lohr, S. (2009). For today’s graduate, just one word: Statistics. New York Times.

Lunneborg, C. E. (1999). Data Analysis by Resampling. Cengage Learning.

Lunzer, A. (2014). Livelyr introductory demo. https://vimeo.com/93535802.

Lunzer, A. and Hornbæk, K. (2008). Subjunctive interfaces: Extending applications to support parallel setup, viewing and control of alternative scenarios.

ACM Transactions on Computer-Human Interaction, 14(4).

Lunzer, A. and McNamara, A. (2014). It ain’t necessarily so: Checking charts for robustness. In IEEE Vis 2014.

Lunzer, A., McNamara, A., and Krahn, R. (2014). LivelyR: Making R charts livelier. In useR! Conference.

Mackinlay, J. D., Hanrahan, P., and Stolte, C. (2007). Show me: Automatic presentation for visual analysis. IEEE Transactions on Visualization and Computer Graphics, 13(6):1137–1144.

Majumder, M., Hofmann, H., and Cook, D. (2013). Validation of visual statistical inference, applied to linear models. Journal of the American Statistical Association, 108(503):942–956.

Margolis, J., Estrella, R., Goode, J., Holme, J. J., and Nao, K. (2008). Stuck in the Shallow End: Education, Race and Computing. MIT Press.

Margolis, J. and Fisher, A. (2001). Unlocking the clubhouse: women in computing. The MIT Press.

Martin-Anderson, B. (2014). Building precise maps with disser. http:


Mathews, S. M., Reed, M., and Angel, N. (2013). Getting students excited about data analysis. Ohio Journal of School Mathematics.

McCullough, B. D. and Heiser, D. A. (2008). On the accuracy of statistical procedures in Microsoft Excel 2007. Computational Statistics & Data Analysis, 52:4570–4578.

McNamara, A. (2013a). Mobilize wiki: RStudio. http://wiki.mobilizingcs.


McNamara, A. (2013b). MobilizeSimple. Github repository, https://github.


McNamara, A. and Hansen, M. (2014). Teaching data science to teenagers. In ICOTS-9.

McNamara, A. and Molyneux, J. (2014). Teaching R to high school students. In useR! Conference.

Meirelles, I. (2011). Visualizing data: new pedagogical challenges. In Spinillo, F. and Padovani, editors, Selected Readings of the 4th Information Design International Conference.

Mendez, D., Labrador, M., and Ramachandran, K. (2013). Data interpolation for participatory sensing systems. Pervasive and Mobile Computing, 9:123– 148.

Mendez, D. and Labrador, M. A. (2012). Density maps: Determining where to sample in participatory sensing systems. In 2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing. IEEE.

Menezes, R. (2015). Data science class offers L.A. Unified students a new handle on math. Los Angeles Times.

Miller, E. (2014). Wizard: Data analysis for the non-statistician. Computer software, http://www.wizardmac.com/.

Miller, G. A. (1955). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological review, 101(2):343– 352.

Molyneux, J., Johnson, T., and McNamara, A. (2014). Introduction to data science labs. https://github.com/mobilizingcs/ids_labs.

Morandat, F., Hill, B., Osvald, L., and Vitek, J. (2012). Evaluating the design of the R language: Objects and functions for data analysis. In ECOOP’12 Proceedings of the 26th European conference on Object-Oriented Programming.

Morgan, K. L., Lock, R. H., Lock, P. F., Lock, E. F., and Lock, D. F. (2014).

StatKey: Online tools for bootstrap intervals and randomization tests. In ICOTS-9.

M¨hlbacher, T., Piringer, H., Gratzl, S., Sedlmair, M., and Streit, M. (2014).

u Opening the black box: Strategies for increased user involvement in existing algorithm implementations. IEEE Transactions on Visualization and Computer Graphics, 20(12):1643 – 1652.

Muller, C. L. and Kidd, C. (2014). Debugging geographers: Teaching programming to non-computer scientists. Journal of Geography in Higher Education, 38(2):175–192.

Munson, M. A. et al. (2010). A method for measuring the relative information content of data from different monitoring protocols. Methods in Ecology and Evolution, 1:263–273.

National Governors Association Center for Best Practices and Council of Chief State School Officers (2010). Common Core State Standards for Mathematics.

National Governors Association Center for Best Practices, Council of Chief State School Officers.

New York Times (2012). The electoral map: Building a path to victory. The New York Times.

Nolan, D. and Temple Lang, D. (2007). Dynamic, interactive documents for teaching statistical practice. International Statistical Review, 75(3):295–321.

Nolan, D. and Temple Lang, D. (2010). Computing in the statistics curricula.

The American Statistician, 64(2):97–107.

Nolan, D. and Temple Lang, D. (2012). Interactive and animated scalable vector graphics and R data displays. Journal of Statistical Software, 46(1).

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P´rez, F. and Granger, B. E. (2007). iPython: a system for interactive scientific e computing. Computing in Science & Engineering, 9(3):21–29.

Perez, L., John, L. K., and Gould, R. (2015). Mobilize 2014-2015 Science Curriculum. Office of Curriculum, Instruction, and School Support.

Perlin, K. (2015). Zen and the art of interactive diagrams. http://blog.


Pfannkuch, M. (2006). Comparing box plot distributions: A teachers’ reasoning.

Statistics Education Research Journal, 5(2):27–45.

Pfannkuch, M. and Ben-Zvi, D. (2011). Teaching Statistics in School Mathematics- Challenges for Teaching and Teacher Education, chapter Developing Teachers’ Statistical Thinking. Springer Science + Business Media.

Pfannkuch, M., Wild, C., and Regan, M. (2014). Using Tools for Learning Mathematics and Statistics, chapter Students’ difficulties in practicing computer-supported data analysis: Some hypothetical generalizations from results of two exploratory studies. Springer.

Plaue, C. and Cook, L. R. (2015). Data journalism: Lessons learned while designing an interdisciplinary service course. In SIGCSE’15.

Powell, V. (2014). CSV fingerprints. http://setosa.io/blog/2014/08/03/ csv-fingerprints/.

Pruim, R., Horton, N., and Kaplan, D. (2014). Start teaching with R. Project MOSAIC.

Pruim, R., Kaplan, D., and Horton, N. (2015a). mosaic: Project MOSAIC (mosaic-web.org) statistics and mathematics teaching utilities. R package version 0.9.2-2.

Pruim, R., Kaplan, D., and Horton, N. (2015b). mosaic: Project MOSAIC Statistics and Mathematics Teaching Utilities. R package version 0.10.0.

R Core Team (2014). R: A language and environment for statistical computing.

R Foundation for Statistical Computing, Vienna, Austria.

R Core Team (2015). Comprehensive R archive network. http://cran.


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