References
- “ADL’s Global 100TM Anti-Semitism Index.” (n.d), ADL Global 100. Accessed July 9, 2020. Available at https://global100.adl.org/map.
- “Arolsen Archives - International Center on Nazi Persecution.” (n.d), Arolsen Archives. Accessed July 9, 2020. Available at https://arolsen-archives.org/en/.
- “USC Shoah Foundation Visual History Archive.” (n.d), USC Shoah Foundation Accessed July 9, 2020. Available at https://sfi.usc.edu/.
- Bargagliotti, A., Binder, W., Blakesley, L., Eusufzai, Z., Fitzpatrick, B., Ford, M., Huchting, K., Larson, S., Miric, N., Rovetti, R., Seal, K., and Zachariah, T. (2020), “Undergraduate Learning Outcomes for Achieving Data Acumen,” Journal of Statistics Education, 28, 197–211. DOI: 10.1080/10691898.2020.1776653.
- Bhargava, R., Deahl, E., Letouzé, E., Noonan, A., Sangokoya, D., and Shoup, N. (2015), “Beyond Data Literacy: Reinventing Community Engagement and Empowerment in the Age of Data.” Data-Pop Alliance. Accessed November 14, 2018. Available at https://datapopalliance.org/item/beyond-data-literacy-reinventing-community-engagement-and-empowerment-in-the-age-of-data/.
- Boger, P. (2001), “The Benefit of Student-Generated Data in an Introductory Statistics Class,” Journal of Education for Business, 77, 5–8. DOI: 10.1080/08832320109599663.
- Bradstreet, T. E. (1996), “Teaching Introductory Statistics Courses so That Nonstatisticians Experience Statistical Reasoning,” The American Statistician, 50, 69–78. DOI: 10.1080/00031305.1996.10473545.
- Brym, R., Neuman, K., and Lenton, R. (2019), “2018 Survey of Jews in Canada.” Berman Jewish Databank. Accessed July 9, 2020. Available at https://www.jewishdatabank.org/databank/search-results/study/1043.
- Brym, R., Slavina, A., and Lenton, R. (2020), “Qualifying the Leading Theory of Diaspora Jewry: An Examination of Jews from the Former Soviet Union in Canada and the United States,” Contemporary Jewry, 40, 367–385. DOI: 10.1007/s12397-020-09315-5.
- Cartwright, N. (1989), Nature’s Capacities and Their Measurement, Oxford: Oxford University Press.
- Chávez, K., and Mitchell, K. M. W. (2019), “Exploring Bias in Student Evaluations: Gender, Race, and Ethnicity,” PS: Political Science & Politics, 53, 270–274. DOI: 10.1017/S1049096519001744.
- Cleveland, W. (1994), The Elements of Graphing Data, Summit, NJ: Hobart Press.
- Cobb, G. (1992), “Teaching Statistics,” in Heeding the Call for Change: Suggestions for Curricular Action, ed. L. Steen, pp. 3–43, Washington, DC: The Mathematical Association of America.
- Crouch, C. H., and Mazur, E. (2001), “Peer Instruction: Ten Years of Experience and Results,” American Journal of Physics, 69, 970–977. DOI: 10.1119/1.1374249.
- Csillag, R. (2019), “New Course at U of T the First of Its Kind.” The Canadian Jewish News (blog). March 7. Available at https://www.cjnews.com/news/canada/u-of-t-offers-new-jewish-stats-course.
- Curry, M. (2017), “A Night at the Garden,” available at https://anightatthegarden.com/.
- Davidson, N. (1990), “Small-Group Cooperative Learning in Mathematics,” Teaching and Learning Mathematics in the 1990s. The NCTM Yearbook, 52–61.
- Demby, G. (2018), “Members of Whose Tribe?” NPR Code Switch. April 18, 2018. Available at https://www.npr.org/transcripts/602678381.
- Everson, M. G., and Garfield, J. (2008), “An Innovative Approach to Teaching Online Statistics Courses,” Technology Innovations in Statistics Education, 2. http://escholarship.org/uc/item/2v6124xr. DOI: 10.5070/T521000031.
- Fujii, L. A. (2010), “Shades of Truth and Lies: Interpreting Testimonies of War and Violence,” Journal of Peace Research, 47, 231–241. DOI: 10.1177/0022343309353097.
- GAISE College Report ASA Revision Committee. (2016), “Guidelines for Assessment and Instruction in Statistics Education College Report 2016,” available at http://www.amstat.org/education/gaise.
- Gelman, A. (2013), “Setting Up Jitts Online.” Statistical Modeling, Causal Inference, and Social Science. September 27. Available at https://statmodeling.stat.columbia.edu/2013/09/27/setting-up-jitts-online/.
- Gelman, A. (2016), “The Problems with P-Values Are Not Just with P-Values,” American Statistician, 70, 1–2.
- Gelman, A. (2019), “To Do: Construct a Build-Your-Own-Relevant-Statistics-Class Kit.” Statistical Modeling, Causal Inference, and Social Science. November 12. Available at https://statmodeling.stat.columbia.edu/2019/11/12/to-do-construct-a-build-your-own-relevant-statistics-class-kit/.
- Gelman, A., and Nolan, D. (2017), Teaching Statistics: A Bag of Tricks (2nd ed.), Oxford: Oxford University Press.
- Gelman, A., Hill, J., and Vehtari, A. (2020), Regression and Other Stories, Cambridge: Cambridge University Press.
- Hacking, I. (1983), Representing and Intervening, Introductory Topics in the Philosophy of Natural Science, Cambridge: Cambridge University Press.
- Hodges, L. C., E. C., Anderson, T. S., Carpenter, L., Cui, T. M., Gierasch, S. Leupen, K. M., Nanes, and Wagner, C. R. (2015), “Using Reading Quizzes in STEM Classes—the What, Why, and How,” Journal of College Science Teaching, 45, 49–55. Accessed September 10, 2021. http://www.jstor.org/stable/43631885. DOI: 10.2505/4/jcst15_045_01_49.
- Jankovic, J. (2019), “New ‘Jews: By the Numbers’ Course Introduces Students to Methods in Statistics and Digital Humanities.” University of Toronto Faculty of Arts & Science News. April 23. Available at https://www.artsci.utoronto.ca/news/new-jews-numbers-course-introduces-students-methods-statistics-and-digital-humanities.
- Jaskot, P. (2000), The Architecture of Oppression: The SS, Forced Labor, and the Nazi Monumental Building Economy, London: Psychology Press.
- Knowles, Anne, Tim Cole, and Alberto Giordano, eds. (2014), Geographies of the Holocaust, Bloomington: Indiana University Press.
- Kuhn, T. (1962), The Structure of Scientific Revolutions, Chicago, IL: The University of Chicago Press.
- LaBeouf, J., Griffin, J., and Roberts, D. (2016), “Faculty and Student with Group Work: What is Problematic with College Group Assignments and Why?” Journal of Education and Human Development, 5, 13–23. DOI: 10.15640/jehd.v5n1a2.
- Lavrakas, P. J. (2008), Encyclopedia of Survey Research Methods (Vols. 1–0), Thousand Oaks, CA: Sage Publications, Inc.
- Lerner, A. (2020), “Applied Statistics and Data Science in Jewish Studies.” Syllabus, University of Toronto. APSA Educate. Available at https://educate.apsanet.org/resource/01-08-2021/introduction-to-applied-statistics-and-data-science-for-students-of-jewish-studies.
- Lerner, A. (2021), “2021 Survey of North American Teens on the Holocaust and Antisemitism.” Liberation75. Available at https://www.liberation75.org/2021survey.
- Lerner, A. (2021), “What Can Quantitative Methods Teach Us about the Holocaust?” in The Routledge Handbook on Religion, Mass Atrocity, and Genocide, eds. S. E. Brown and S. Smith, pp. 443–460. Oxfordshire: Routledge.
- Lerner, A. (2022), “Quantifying the Archives: Leveraging the Norms and Tools of Data Science to Conduct Ethical Research on the Holocaust,” Holocaust Studies, 28, 358–376. DOI: 10.1080/17504902.2021.1979179.
- Little, S. G., Akin-Little, A., and Newman-Eig, L. M. (2010), “Effects on Homework Completion and Accuracy of Varied and Constant Reinforcement within an Interdependent Group Contingency System,” Journal of Applied School Psychology, 26, 115–131. DOI: 10.1080/15377900903471989.
- Luft, A. (2020), “How Do You Repair a Broken World? Conflict(Ing) Archives after the Holocaust,” Qualitative Sociology, 43, 317–343. DOI: 10.1007/s11133-020-09458-9.
- Mazur, E. (1997), Peer Instruction: A User’s Manual. Upper Saddle River, NJ: Prentice-Hall.
- Mazur, E., and Watkins, J. (2010), “Just-in-Time Teaching and Peer Instruction,” in Just-in-Time Teaching: Across the Disciplines, across the Academy, ed. S. Simkins and M. Maier, 39–62, Sterling, VA: Stylus.
- McDaniel, M. A., Wildman, K. M., and Anderson, J. L. (2012), “Using Quizzes to Enhance Summative-Assessment Performance in a Web-Based Class: An Experimental Study,” Journal of Applied Research in Memory and Cognition, 1, 18–26. DOI: 10.1016/j.jarmac.2011.10.001.
- Meer, N. M., and Chapman, A. (2014), “Assessment for Confidence: Exploring the Impact That Low-Stakes Assessment Design Has on Student Retention,” The International Journal of Management Education, 12, 186–192. DOI: 10.1016/j.ijme.2014.01.003.
- Mills, J. D., and Raju, D. (2011), “Teaching Statistics Online: A Decade’s Review of the Literature about What Works,” Journal of Statistics Education, 19. Available at http://www.amstat.org/publications/jse/v19n2/mills.pdf. DOI: 10.1080/10691898.2011.11889613.
- Mitchell, K. M., and Martin, J. (2018), “Gender Bias in Student Evaluations,” PS: Political Science & Politics, 51, 648–652. DOI: 10.1017/S104909651800001X.
- Mocko, M. (2013), “Selecting Technology to Promote Learning in an Online Introductory Statistics Course,” Technology Innovations in Statistics Education, 7. http://escholarship.org/uc/item/596195sg. DOI: 10.5070/T572013893.
- Novak, G. M., Patterson, E. T., Gavrin, A. D., and Christian, W. (1999), Just-in-Time Teaching: Blending Active Learning with Web Technology, Upper Saddle River, NJ: Prentice-Hall.
- Oceans of Data Institute. (2015), Building Global Interest in Data Literacy: A Dialogue, Waltham, MA: Educational Development Center. Available at oceansofdata.org/ourwork/building-global-interest-data-literacy-dialogue-workshop-report
- Oster, E. (2023), “Data Literacy for Parenting.” ParentData. August 10. https://emilyoster.substack.com/p/data-literacy-for-parenting.
- Pape-Lindstrom, P., Eddy, S., and Freeman, S. (2018), “Reading Quizzes Improve Exam Scores for Community College Students,” CBE—Life Sciences Education, 17, ar21. DOI: 10.1187/cbe.17-08-0160.
- Pitic, B. (2020), “Jews by the Numbers: An Introduction to Applied Statistics and Data Science for Students of Jewish Studies.” USC Shoah Foundation Center for Advanced Genocide Studies, 2020, sec. Course Development Case Study. Available at http://sfi.usc.edu/cagr/course_development/casestudy/jews-numbers-introduction-applied-statistics-and-data-science.
- Popper, K. (1959), The Logic of Scientific Discovery, New York: Basic Books.
- Prado, J. C., and Marzal, M. A. (2013), “Incorporating Data Literacy into Information Literacy Programs: Core Competencies and Contents,” Libri, 63, 123–134. DOI: 10.1515/libri-2013-0010.
- Presner, T. (2016), “The Ethics of the Algorithm: Close and Distant Listening to the Shoah Foundation Visual History Archive,” in Probing the Ethics of Holocaust Culture (Originally Published 2016, pp. 167–202, Cambridge, MA: Harvard University Press. DOI: 10.4159/9780674973244-009.
- Reid, M., and Barrington, H. (1997), Training Intervention (5th ed.), Wiltshire: The Cromwell Press.
- Rumsey, D. J. (2002), “Statistical Literacy as a Goal for Introductory Statistics Courses,” Journal of Statistics Education, 10, 1–12. DOI: 10.1080/10691898.2002.11910678.
- Shapiro, P. (2011), Bad Arolsen–“Die Öffnung Des Größten Holocaust-Archivs Der Welt. [eng. Opening the Largest Holocaust Archive in the World.]” Dritte Simon Wiesenthal Lecture. Wiener Wiesenthal Institut für Holocaust-Studien, 18 December 2008 [Posted on 26 February 2011]. Available at https://www.youtube.com/watch?v=cf-jfkh1lssfeature=youtu.be.
- Simkins, S., and Maier, M. (2010), Just-in-Time Teaching: Across the Disciplines, across the Academy, Sterling, VA: Stylus.
- Slootmaeckers, K., Kerremans, B., and Adriaensen, J. (2014), “Too Afraid to Learn: Attitudes towards Statistics as a Barrier to Learning Statistics and to Acquiring Quantitative Skills,” Politics, 34, 191–200. DOI: 10.1111/1467-9256.12042.
- Smith, S. (2016), “On the Ethics of Technology and Testimony,” In Probing the Ethics of Holocaust Culture, eds. C. Fogu, W. Kansteiner, and T. Presner, pp. 203–217, Cambridge, MA: Harvard University Press.
- Taylor, L., and Doehler, K. (2014), “Using Online Surveys to Promote and Assess Learning,” Teaching Statistics, 36, 34–40. DOI: 10.1111/test.12045.
- Traves, W. (2019), “Data Science at USNA,” Mathematica Militaris, 24, 1 (June). Available at https://digitalcommons.usmalibrary.org/mathematica_militaris/vol24/iss1/3.
- Tudor, G. (2006), “Teaching Introductory Statistics Online–Satisfying the Students,” Journal of Statistics Education, 14. http://www.amstat.org/publications/jse/v14n3/tudor.html. DOI: 10.1080/10691898.2006.11910591.
- Unz, R. (2012), “The Myth of American Meritocracy,” The American Conservative, 28.
- Utts, J., and Heckard, R. (2007), Mind on Statistics–Instructor’s Resource Manual, Belmont: Duxbury Press.
- Ward, B. (2004), “The Best of Both Worlds: A Hybrid Statistics Course,” Journal of Statistics Education, 12. http://www.amstat.org/publications/jse/v12n3/ward.html. DOI: 10.1080/10691898.2004.11910629.
- Wheelan, C. (2013), Naked Statistics: Stripping the Dread from the Data, New York: W.W. Norton & Company.
- Wilder, E. I. (2010), “A Qualitative Assessment of Efforts to Integrate Data Analysis throughout the Sociology Curriculum Feedback from Students, Faculty, and Alumni,” Teaching Sociology, 38, 226–246. DOI: 10.1177/0092055X10370118.
- Zauzmer, J. (2018), “Holocaust Study: Two-Thirds of Millennials Don’t Know What Auschwitz Is.” Washington Post, April 12. Accessed July 15. Available at https://www.washingtonpost.com/news/acts-of-faith/wp/2018/04/12/two-thirds-of-millennials-dont-know-what-auschwitz-is-according-to-study-of-fading-holocaust-knowledge/.
- Zheng, H. W. (2020), “Towards (Even) More Insightful Research: A Reflection Presentation on My Foray into the World of Statistics and Data Science.” CJS392 Final Presentation. Canva. December 14. Available at https://www.canva.com/design/DAEP9hrVapg/ddSa3asgvAie1N5KAybySg/view.