Learning Analytics

For Philippine Science High School Southern Mindanao Campus

Due to the sudden surge of available student learning data as a consequence of online learning, I developed several learning analytics workflows in order to generate educational insight from student data. All my projects were done using R language.

Thee main learning analytics were: (1) the generation of year-end “Spotify Wrapped”-type documents (pictured) where student Moodle activity were processed and converted into personalized and actionable reports; (2) the construction of a Shiny-based web application for the easy checking and monitoring of student progress in a course, and (3) the construction of network graphs to visualize student interactions, identify isolated students, and plan interventions.

Le Dolino
Le Dolino
UNESCO SDG4Youth Member

My research interests include the history, philosophy, and social studies of science education, and actual science education practice.