The QuarkNet/Grid Collaborative Learning e-Lab
M. Bardeen, E. Gilbert, T. Jordan, P. Neywoda, E. Quigg, M. Wilde, Y., Zhao

TL;DR
This paper presents a case study of using grid computing techniques in an online collaborative environment to enhance high school students' understanding of cosmic rays through data collection, analysis, and sharing.
Contribution
It introduces a novel e-Lab platform that integrates advanced grid computing tools for educational purposes, enabling collaborative scientific investigation among high school students.
Findings
Students successfully used the platform to analyze cosmic ray data.
The system facilitated collaborative learning through online posters and discussions.
Teachers could guide investigations effectively using the provided tools.
Abstract
We describe a case study that uses grid computing techniques to support the collaborative learning of high school students investigating cosmic rays. Students gather and upload science data to our e-Lab portal. They explore those data using techniques from the GriPhyN collaboration. These techniques include virtual data transformations, workflows, metadata cataloging and indexing, data product provenance and persistence, as well as job planners. Students use web browsers and a custom interface that extends the GriPhyN Chiron portal to perform all of these tasks. They share results in the form of online posters and ask each other questions in this asynchronous environment. Students can discover and extend the research of other students, modeling the processes of modern large-scale scientific collaborations. Also, the e-Lab portal provides tools for teachers to guide student work…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
