How to Open Science: Promoting Principles and Reproducibility Practices within the Educational Data Mining Community

Across the past decade, open science has increased in momentum, making research more openly available and reproducible. Educational data mining, as a subfield of education technology, has been expanding in scope as well, developing and providing better understanding of large amount of data within education. However, open science and educational data mining do not often intersect, causing a bit of difficulty when trying to reuse methodologies, datasets, analyses for replication, reproduction, or an entirely separate end goal. In this tutorial, we will provide an overview of open science principles and their benefits and mitigation within research. In the second part of this tutorial, we will provide an example on using the Open Science Framework to make, collaborate, and share projects. The final part of this tutorial will go over some mitigation strategies when releasing datasets and materials such that other researchers may easily reproduce them. Participants in this tutorial will gain a better understanding of open science, how it is used, and how to apply it themselves.