Publications & Presentations

Mobilize: A Data Science Curriculum for 16-Year-Old Students

Presented By Rob Gould | IDS Lead PI
International Conference for Teaching Statistics (ICOTS) in Kyoto, Japan, July 2018

Publications

  • Gould, Robert, Anna Bargagliotti, and Terri Johnson. “An analysis of secondary teachers’ reasoning with ‘big data’.” Statistics Education Research Journal 16.2 (2017). PDF
  • Philip, Thomas M., Janet Rocha, and Maria C. Olivares-Pasillas. “Supporting teachers of color as they negotiate classroom pedagogies of race: A study of a teacher’s struggle with “friendly-fire” racism.” Teacher Education Quarterly 44.1 (2017): 59-79. PDF
  • Philip, Thomas M., Maria C. Olivares-Pasillas, and Janet Rocha. “Becoming racially literate about data and data-literate about race: Data visualizations in the classroom as a site of racial-ideological micro-contestations.” Cognition and Instruction 34.4 (2016): 361-388. PDF
  • Roberts, S. (2015). Measuring Formative Learning Behaviors of Introductory Statistical Programming in R via Content Clustering. UCLA. UCLA Electronic Theses and Dissertations PDF
  • McNamara, Amelia Ahlers. Bridging the gap between tools for learning and for doing statistics. Diss. UCLA, 2015 PDF
  • Gould, R., et al. “Modeling with “big data” in secondary schools. An exploratory study.” Reasoning about models and modelling in the context of informal statistical inference (2015): 176-188.
  • Tangmunarunkit, H. “A general and extensible end-to-end participatory sensing platform.” UCLA, Los Angeles, CA, USA, UCLA Comput. Sci. Tech. Rep 140015 (2014). PDF
  • McNamara, A., Molyneux, J. Teaching R to High School Students…and Teachers. UseR!Conference, Los Angeles, CA, 2014. PDF
  • McNamara, Amelia, and Mark Hansen. “Teaching data science to teenagers.” Proceedings of the Ninth International Conference on Teaching Statistics. 2014. PDF PDF2
  • Philip, Thomas M., and Antero Garcia. “Schooling mobile phones: Assumptions about proximal benefits, the challenges of shifting meanings, and the politics of teaching.” Educational Policy 29.4 (2015): 676-707. PDF
  • Philip, Thomas M., Sarah Schuler-Brown, and Winmar Way. “A framework for learning about big data with mobile technologies for democratic participation: Possibilities, limitations, and unanticipated obstacles.” Technology, Knowledge and Learning 18.3 (2013): 103-120. PDF
  • Philip, Thomas, and Antero Garcia. “The importance of still teaching the iGeneration: New technologies and the centrality of pedagogy.” Harvard Educational Review 83.2 (2013): 300-319. PDF
  • Margolis, Jane, Joanna Goode, and David Bernier. “The need for computer science.” Educational Leadership 68.5 (2011): 68-72. PDF

Conference Presentations

  • Casillas, M., Estevez, H. (April 2019). National Council of Teachers of Mathematics Annual Meeting & Exposition. “IDS: A High Schooler’s Entryway to the World of Big Data”, San Diego, California.
  • Estevez, H., Casillas, M. (November 2018). California Mathematics Council – South, 59th Annual Mathematics Conference. “IDS: A High Schooler’s Entryway to the World of Big Data”, Palm Springs, California.
  • Gould, R., Moncada, S., Ong, C., Johnson, T., Molyneux, J., Tangmunarunkit, T., Zanontian, L. (July 2016). “Preparing secondary teachers to teach data science: lessons learned”. Conference publication, IASE Roundtable 2016, Berlin, Germany.
  • Gould, R., Johnson, T., Machado, S., Molyneux, J., and Bargagliotti, A. (July 2016). Modeling with “Big Data” in Secondary Schools: An exploratory study. Presentation at SRTL-9 (Statistical Reasoning, Thinking and Literacy), Paderborn, Germany.
  • Philip, T.M. (June, 2016). Seeing race and racialization in interaction: The affordance and constraints of video data. Symposium paper presented at the annual meeting of The Jean Piaget Society, Chicago, IL.
  • Philip, T.M. (May, 2016). Becoming Racially Literate about Data and Data Literate about Race: A Case of Data Visualizations in the Classroom as a Site of Racial-Ideological Micro-Contestations. Invited talk for the Graduate School of Education Brown-Bag Seminar Series, UC Irvine.
  • Philip, T.M. (March, 2016). Becoming Racially Literate about Data and Data Literate about Race: A Case of Data Visualizations in the Classroom as a Site of Racial-Ideological Micro-Contestations. Invited talk for the TERC Colloquium, Cambridge, MA.
  • Gould, R. (September 2015). University of Minnesota.  “Data Science in High School: The Mobilize Project”
  • Gould, R., Molyneux, J. (September 2015). American Statistical Association, Orange County, California. “Data Science in High Schools.”
  • Gould, R. (July 2015). New Zealand Association of Mathematics Teachers Conference, Auckland, New Zealand. “Data Science in High School: The Time has Come”
  • Gould,  R., Johnson, T. (July 2015). Statistics Research in Teaching and Learning. Paderborn, Germany. “Modeling ‘Big Data’ in Secondary Schools.”
  • Gould, R., Bray, A., (June 2015). United States Conference on Teaching Statistics, State College, Pennsylvania. “Developing Data Science Curricula.”
  • H. Tangmunarunkit, S. Nolen, J. Ooms, W. Reynolds, R. Rochio, E. Sakabu, R. Gould. (April 2015). ohmage: an innovative data investigation platform for developing statistical thinking in STEM. Submitted to AERA 2015, Computer and Internet Applications in Education (SIG #22).
  • S. Nolen, J. Ooms, H. Tangmunarunkit. A generalized and customizable extension to the ohmage interactive dashboard. Winner of the Education Category: Closing the US Education Gap. UCLA Code for the Mission 2014. Link