MA Daniel Davis

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PhD Candidate, Learner Modeling & Learning Analytics, TU Delft

DANIEL DAVIS, MA, CEL PhD candidate at TU Delft, Web Information Systems Group

Daniel studies 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.

Daniel holds a Masters in Communication, Culture & Technology from Georgetown University in Washington, DC. His research is primarily concerned with the design of online learning environments and borrows from a variety of fields including information & knowledge systems, education psychology, educational data mining, and Design. His research aims to develop learning analytics systems to increase learner engagement and success. As a member of the Centre of Education and Learning he collaborates with researchers from several universities and different disciplines.

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