The School of Design's Paul Inventado and Peter Scupelli, along with Cristina Heffernan, and Neil Heffernan III, will present their paper "Feedback Design Patterns for Math Online Learning Systems" at the 22nd European Conference on Pattern Languages of Programs (EuroPLoP 2017).
From the paper's abstract:
Increasingly, computer-based learning systems are used by educators to facilitate learning. Several learning systems have been developed for the Math domain, which have resulted in significant improvements in student learning. Feedback provision is one of the key features in Math learning systems that contribute to its success. We have recently been uncovering feedback design patterns as part of a larger pattern language for Math problems and learning support in online learning Systems. In this paper we present three feedback design patterns developed from the application of the data-driven design pattern (3D2P) methodology on a large educational data set collected from actual student data in a Math online learning system. These design patterns can help teachers, learning designers, and other stakeholders construct effective feedback for interactive learning activities that facilitate student learning.