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Facilitating the implementation and adaptation of data-centric teaching resources by closing gaps in the Open Education Resource (OER) lifecycle

By Kaitlin Bonner1, Arietta Fleming-Davies2, Kristine Grayson3, Ben Wu4, Raisa Hernández-Pacheco3

1. St. John Fisher College 2. QUBES; Radford University 3. University of Richmond 4. Texas AM University

Presentation on data-centric open educational resources given at the 2019 UBER-GRC

Listed in Teaching Materials | resource by group Data Incubator Group

Version 1.0 - published on 18 Jul 2019 doi:10.25334/MDQ6-HA47 - cite this

Licensed under CC Attribution-NonCommercial-ShareAlike 4.0 International according to these terms

UBER-GRC first slide.PNG


So why focus on the importance of data-centric practices in the classroom? Authentic student investigations provide meaningful mechanisms for students to master complex biological concepts. These data-centric practices not only facilitate deeper thinking and understanding, but also provide a framework for the development of data literacy and quantitative skill development. Quantitative literacy and skill development are absolutely essential for mastery of all major Core Competencies described in Vision and Change, not just those that explicitly relate to quantitative reasoning. Core competencies: Ability to apply the process of science, use quantitative reasoning, use modeling and simulation, tap into the interdisciplinary nature of science, communicate and collaborate with other disciplines, understand the relationship between science and society.


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