College students rely on increasingly data-rich environments when making learning-relevant decisions about the courses they take and their expected time commitments. However, we know little about how their exposure to such data may influence student course choice, effort regulation, and performance.
If data about struggling students is to be used in a way that supports their mental wellbeing rather than harms it, what kind of data do learners want to see and what actions do they want it to trigger? We find out from projects that have talked to their students to discover just that.
Learning analytics is “the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs".
Keynote by Paul Prinsloo at “Change and Constants: The Realities of Successful Teaching and Learning.” McMaster University, Hamilton, Ontario Friday February 23, 2018
Professor of Learning Analytics at The Open University, Bart Rienties, has spent much of his career researching how data can improve teaching methods and have a positive impact on how students learn.
Engineering students at Purdue University can track their study behaviors with Pattern, a quantified-self tool designed to help learners regulate and improve their habits.
While interdisciplinary courses are regarded as a promising method for students to learn and apply knowledge from other disciplines, there is limited empirical evidence available whether interdisciplinary courses can effectively “create” interdisciplinary students.
... 6. Learning analytics play an important role in informing appropriate and effective student interventions, including through predictive modelling and personalising the learning experience.