Abstract

Data sharing model for physics education research using the 70 000 response Colorado Learning Attitudes about Science Survey for Experimental Physics dataset

Highlights

  • There are recent calls from the physics community for free access and open sharing of data (e.g., Refs. [1,2])

  • We suggest that the practice of data sharing in physics education research (PER) could be expanded to help broaden the use of the data for research, and have greater impact on physics education

  • We suggest a productive model of data sharing supports open access to data, as it allows the reuse of previously collected data to answer new research questions, as well as studies to reproduce results [8]

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Summary

INTRODUCTION

There are recent calls from the physics community for free access and open sharing of data (e.g., Refs. [1,2]). As an example of this framework, we present the 70 000 response Colorado Learning Attitudes about Science Survey for Experimental Physics (E-CLASS) dataset. This dataset is free to access for all researchers and contains preand postresponse data, demographics, course information, and other data for students attending 133 institutions of higher education. These data have been used to explore many research questions related to, for example, gender and labs [9] and the effect of instructional approaches on student views about experimentation [10,11]. Our hope is that this will empower researchers with fewer resources and/or at smaller institutions to be able to pursue innovative research programs without the barriers of having to collect significant amounts of data themselves

BACKGROUND
Benefits of data sharing
Data sharing in PER
Challenges for data sharing
E-CLASS
DATA SHARING MODEL
Data collection
Data schema
Data anonymization
Data sharing
EXAMPLE IMPLEMENTATION
DISCUSSIONS AND CONCLUSIONS
Factor analysis of survey data
Factor analysis of the E-CLASS
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