PhD student in the Lambda-Lab at the Web Information Systems group of the Faculty of Engineering, Mathematics and Computer Science (EEMCS/EWI), Delft University of Technology.
Dan is currently researching the effect of various instructional interventions on learner success and self-regulation in MOOCs such as the memory retrieval effect and strategies to help students plan and follow their intended learning path.
Dan is a PhD candidate working in the Web Information Systems group, headed by Prof.dr.ir. Geert-Jan Houben. He is a researcher funded by the Centre for Education and Learning (CEL)--a collaborative partnership between TU Delft, Leiden University, and Erasmus University Rotterdam aimed at understanding and improving the state of online learning and instruction.
Dan's research uses and advances user modeling techniques in the context of open online education at scale in developing a learner modeling-focused approach to learning analytics. He develops methods to gain a deeper understanding about how the design of online learning environments affects learner success and engagement, often by implementing and testing instructional interventions at scale.