Open Science Research Practices for the Era of Big Data
Abstract: Advances in several scientific fields has been facilitated by amassing large datasets and making sense of them by using cutting-edge statistical learning techniques. However, there is still one aspect that needs attention; embracing open science (OS) practices. The session will present how other fields are self-correcting by adopting OS practices, the OS-attached benefits of reproducibility and transparency, and the related issues of replicability and generalisability. The session aims at discussing opinions and avenues that can permit or hinder OS practices in the field of learning analytics and educational data mining. Attendees are required to have a genuine interest in the advancement of their field in order to jot down honest and viable ways to adopt OS practices. For this purpose, an online survey will be run and discussed with the attendees.
Organizer: Fernando Marmolejo-Ramos.