DataExpedition

Computing has become an integral part of the practice of modern science, technology, engineering and mathematics (STEM), inspiring educators to integrate computing with STEM learning. This project aims to develop a pedagogical model – DataExpedition – to engage students in building scientific explanations based on real-world open science data, computing, and classroom dialogues. DataExpedition would not only nurture crucial scientific practices emphasized by the Next Generation Science Standards, but also make science learning more connected with real-world problems and aligned with real-world scientific practices.

Phase 2 (Jan 2019 - Jun 2020)

Phase 2 of the project is supported by the Grant-in-Aid (GIA) initiative of the Office of the Vice President for Research, University of Minnesota.

We are looking for a talented Research Assistant to lead the DataExpedition tool development! Please get in touch with Prof. Chen if you are interested.

Phase 1 (May 2018)

Phase 1 of the project was supported by the University of Minnesota Libraries, under its Research Sprints program. During the research sprint, a project team – made of geospatial data curators, data scientists, and instructional designers – worked together to identify, retrieve, and preserve a set of open geoscience data to support data expeditions to the Arctic and Antarctic. Over the span of 4 days, we have:

Special thanks to the awesome project team – Mariya Gyendina (PM), Lindsay Matts-Benson, Carolyn Rauber, Melinda Kernik, Danny Hanson, Ryan Mattke, and Frank Sayre – who brought tremendous expertise, curiosity, and willingness to play.

Publications

Forthcoming…