{"id":78,"date":"2020-06-18T17:17:52","date_gmt":"2020-06-18T17:17:52","guid":{"rendered":"https:\/\/www.terc.edu\/dataclubs\/?page_id=78"},"modified":"2023-11-21T11:44:24","modified_gmt":"2023-11-21T11:44:24","slug":"publications","status":"publish","type":"page","link":"https:\/\/www.terc.edu\/dataclubs\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n

Publications<\/strong><\/h3>\n\n\n\n

The Data Clubs project explores how middle school youth engage with data, make sense of datasets, and ask questions of data. Below are some examples of the project\u2019s ground-breaking research that elucidate how Data Clubs participants learn to use big datasets and think critically about data.<\/p>\n\n\n\n

Higgins, T., Mokros, J., Rubin, A., Sagrans, J. (2023). Students\u2019 approaches to exploring the relationship between categorical variables. Teaching Statistics<\/em>, 45<\/em>(S1), S52-S66. URL: https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/test.12331<\/a><\/p>\n\n\n\n

Mokros, J., Higgins, T., Sagrans, J., & Rubin, A. (2023). Characteristics of good datasets for 10\u201314-year-old youth<\/em>. International Association for Statistics Education Satellite Conference, July 11\u201313, Toronto, Canada.<\/p>\n\n\n\n

Sagrans, J., Mokros, J., Voyer, C., Sagrans, J., & Harvey, M. (2022, Jan\/Feb). Data science meets science teaching. The Science Teacher<\/em>. https:\/\/www.nsta.org\/science-teacher\/science-teacher-januaryfebruary-2022\/data-science-meets-science-teaching<\/a><\/p>\n\n\n\n

Higgins, T., Rubin, A., Mokros, J., Sagrans, J., & Ren-Mitchell, A. (2021) When the data drive the learning. Proceedings of the International Association for Statistical Education (IASE) Satellite Conference. <\/em>https:\/\/bit.ly\/3OlAe6X<\/a><\/p>\n\n\n\n

Harvey, M., Mokros, J., Sagrans, J., & Voyer, C. (2020). What makes them tick? Middle school data science explorations of ticks and Lyme disease.<\/em><\/a> Connected Science Learning, 2<\/em>(3).<\/p>\n\n\n\n

Mokros, J., Rubin, R., & Sagrans, J. (2020, October 19). Data science and the epidemiology of COVID: Educating youth through out-of-school programs<\/a> <\/em>[conference presentation]. Association of Science and Technology Centers (ASTC) Virtual 2020 Annual Conference. (links to slides)<\/p>\n\n\n\n

Rubin, A. (2020) Learning to reason with data:  How did we get here and what do we know?<\/em><\/a>  Journal of the Learning Sciences, 29, 154-164.<\/em><\/p>\n\n\n\n

Rubin, A., Higgins, T., Mokros, J., & Sagrans, J. (2020). Data Clubs: Introducing Middle School Youth to Data Science<\/em>.<\/a> 2020 STEM for All Video Showcase. <\/p>\n\n\n\n

Mokros, J., & Rubin, A. (2019). The Wave of Data Science Is upon Us: Are Youth Ready? Are You Ready<\/em>?<\/a>  Poster presented at the Association of Science Technology (ASTC) annual meeting, September 2019. Toronto, Canada. <\/p>\n\n\n\n

Rubin, A. (2019a). Data Clubs: Introducing Middle School Students to the Power of Data<\/em>.<\/a> Invited Symposium on \u201cData Science at School Level\u201d at the Joint Statistics Meeting, July 2019. Denver, CO. <\/p>\n\n\n\n

Rubin, A., & Mokros, J. (2019a). Data Modeling in the World of Big Data<\/em>.<\/a> Paper presented at the Statistical Reasoning, Thinking and Literacy workshop, UCLA, Los Angeles, CA, July 2019. (presentation slides)<\/p>\n\n\n\n

Rubin, A. (2019d). What Should Students Know about Data?<\/em> <\/a>Invited talk in Presidential Session, Computer-Supported Cooperative Learning (CSCL) conference, June 2019. Lyon, France.<\/p>\n\n\n\n

Rubin, A. (2019c). Facebook or Instagram? Teens Explore Data About Technology Use<\/em>.<\/a> Hands On!, AV°ÍÊ¿, Cambridge, MA, Spring 2019. <\/p>\n\n\n\n

Rubin, A. (2019b). Designing Data Experiences for Middle School Youth<\/em>.<\/a> Science Education Department Seminar Series, Harvard University, February 2019. Cambridge, MA.<\/p>\n\n\n\n

Rubin, A., & Mokros, J. (2019b). Designing and Exploring a Model for Data Science Learning for Middle School Youth<\/em>.<\/a> One-page project description for NSF. <\/p>\n\n\n\n

Rubin, A. (2018). Data Clubs for Middle School Youth: Engaging Young People in Data Science<\/em>.<\/a> Data Science Education webinar series, sponsored by Concord Consortium, September 24, 2018. (video of webinar)<\/p>\n\n\n\n

Rubin, A., & Mokros, J. (2018). Data Clubs for Middle School Youth: Engaging Young People in Data Science.<\/a> <\/em>Proceedings of the Tenth International Conference on Teaching Statistics (ICOTS10), Kyoto, Japan, July 8\u20133, 2018. <\/p>\n","protected":false},"excerpt":{"rendered":"

Publications<\/p>\n

The Data Clubs project explores how middle school youth engage with data, make sense of datasets, and ask questions of data. Below are some examples of the project\u2019s ground-breaking research that elucidate how Data Clubs participants learn to use big datasets and think critically about data.<\/p>\n

Higgins, T., Mokros, J., Rubin, A., Sagrans, J. (2023). Students\u2019 approaches to exploring the relationship between categorical variables. Teaching Statistics<\/em>, 45<\/em>(S1), S52-S66. URL:   » Read more<\/a><\/p>\n","protected":false},"author":11,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"1","_relevanssi_noindex_reason":"","footnotes":""},"class_list":["post-78","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.terc.edu\/dataclubs\/wp-json\/wp\/v2\/pages\/78","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.terc.edu\/dataclubs\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.terc.edu\/dataclubs\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.terc.edu\/dataclubs\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/www.terc.edu\/dataclubs\/wp-json\/wp\/v2\/comments?post=78"}],"version-history":[{"count":12,"href":"https:\/\/www.terc.edu\/dataclubs\/wp-json\/wp\/v2\/pages\/78\/revisions"}],"predecessor-version":[{"id":802,"href":"https:\/\/www.terc.edu\/dataclubs\/wp-json\/wp\/v2\/pages\/78\/revisions\/802"}],"wp:attachment":[{"href":"https:\/\/www.terc.edu\/dataclubs\/wp-json\/wp\/v2\/media?parent=78"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}