Discovery and the QuarkNet Data Portfolio
Kenneth Cecire
TL;DR
The paper discusses the development of the QuarkNet Data Portfolio, a collection of educational activities designed to improve understanding of particle physics discoveries among students and the public.
Contribution
It introduces a new model of high-quality educational activities aimed at enhancing comprehension of particle physics data and discoveries.
Findings
The Data Portfolio improves understanding of particle physics concepts.
It provides a structured approach to educational activities.
The model supports engaging students and the public with complex data.
Abstract
Student and public understanding of new discoveries in particle physics are enhanced by preparatory activities. Such activities give the user experience and context to understand a representation of the data associated with the discovery and some familiarity with the topics associated with the discovery. The QuarkNet Data Portfolio is a developing model of high-quality activities that address this need.
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Taxonomy
TopicsParticle physics theoretical and experimental studies · Distributed and Parallel Computing Systems · Scientific Computing and Data Management