Toolkit for Educators of Data Science: Using physical computing to support data science education in the classroom.K12
This program is tentative and subject to change.
In an increasingly data-driven world, a core set of data literacy skills are needed to enable individuals and society collectively to make informed decisions. In this experience report we present the Toolkit for Educators of Data Science, a novel combination of hardware and software that empowers children in K-12 to experience the data science lifecycle by collecting, analysing, and visualising their own local environmental data.
Through exploratory studies in two classrooms involving five teachers and 100 children aged 7 to 11, we experienced the following. (1) Collecting live data from the local environment with our tools provided children with high levels of agency, engagement and focus, (2) Educators stated how using the technology gave the data purpose and gave students a new perception and experience of computing; data started to have meaning because of the real world application across the curriculum. (3) The offline, standalone design of our toolkit empowers teachers by overcoming practical issues often associated with delivering data science lessons in schools.
This program is tentative and subject to change.
Thu 27 FebDisplayed time zone: Eastern Time (US & Canada) change
15:45 - 17:00 | |||
15:45 18mTalk | How Novices Use Program Visualizations to Understand Code that Manipulates Data Tables Papers | ||
16:03 18mTalk | Jupyter Analytics: A Toolkit for Collecting, Analyzing, and Visualizing Distributed Student Activity in Jupyter NotebooksGlobal Papers Zhenyu Cai EPFL, Richard Davis EPFL, Raphaël Mariétan École Polytechnique Fédérale de Lausanne, Roland Tormey École Polytechnique Fédérale de Lausanne, Pierre Dillenbourg École Polytechnique Fédérale de Lausanne | ||
16:22 18mTalk | Teaching Our Teacher Assistants to Thrive: A Reflexive, Inclusive Approach to Scalable Undergraduate Education Papers Lisa Yan UC Berkeley | ||
16:41 18mTalk | Toolkit for Educators of Data Science: Using physical computing to support data science education in the classroom.K12 Papers Lorraine Underwood Lancaster University, Elizabeth Edwards Lancaster University, Elisa Rubegni Lancaster University, Steve Hodges Lancaster University, John Vidler Lancaster University, Joe Finney Lancaster University |