We explore how to support teaching and learning of computational thinking (CT) practices in interdisciplinary, age-appropriate contexts. To prepare youth to be computationally literate in a digital world economy, two key approaches have emerged aiming to make text-based programming more widely applicable, accessible, and age-appropriate.
Learning Analytics in ARIS
In partnership with the Field Day Lab (David Gagnon) and Videogame Research (Dr. Dennis Ramirez), this project brings together computer, data, and learning designers and scientists to explore how the log data in a mobile development platform can shed light on youths’ learning in making and coding their games. Specifically, we examined ARIS (Augmented Reality and Interactive Storytelling), a narrative-based programming platform for non-programmers made up for a web-based editor and a client-based app.