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PD26-12 Foundations of Learning Analytics with R

Fri, April 10, 7:45 to 11:45am PDT (7:45 to 11:45am PDT), JW Marriott Los Angeles L.A. LIVE, Floor: 3rd Floor, Plaza III

Session Type: Professional Development Course

Abstract

This course focuses on Learning Analytics (LA) foundations with a STEM education focus. Learning Analytics (LA), as a computational research methodology, increases the capacity to understand and improve STEM learning and learning environments through the use of new sources of data and powerful analytical approaches. This course will cover methodologies, literature, hands-on application using educational data, and ethical issues as they relate to STEM education. Participants will develop basic proficiency with R and RStudio and apply computational analysis techniques (including data visualization) relevant and appropriate to their STEM education research interests. The first part of the course lays the foundations of LA and R programming basics. The second part uses that base to dive into data visualizations in a STEM education context. Course activities include conceptual overviews, guided code-alongs, blended-learning labs, small group discussions, and individual consultations.

The target audience includes those who aim to leverage new data sources and apply computational methods in R Studio following the LA workflow. The level of instruction will be appropriate for those with little or no experience using R, a popular free open- source software program for data science, research, and technical communication. Knowledge of basic descriptive and exploratory analysis is assumed. Participants are required to bring a laptop computer with R and Rstudio downloaded.

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