COLAPS: PUT grant PSG286

colaps was a 2-year-long (2019 – 2021) research project funded by the Estonian Research Council (PUT grant PSG286 – “Combining Machine-learning and Learning Analytics to provide personalized scaffolding for computer-supported learning activities“). 

The goal of colaps was to explore the use of computational data analytics, namely machine-learning and data mining, with the aim to support learning from the perspective of personalization and adaptation and in relation to tutoring feedback and scaffolding. Our research focused on data analytics to facilitate learning in formal education and ultimately in monitoring and guiding complex human activities. Our interests extended to using modern technologies in order to facilitate and promote learning by bridging the gap between theory and modern, data driven, technology-oriented practice: combining top-down, established pedagogical theories with bottom-up, data-driven computational approaches.

Read more about the project and its outcomes on the project’s website: