Скачать или смотреть DANCE Talk: MOOClets - A Framework for Enhancing and Personalizing Online Education

The fifth talk in our DANCE talk series will be given by Joseph Jay Williams from HarvardX. He will be speaking about "MOOClets - A Framework for Enhancing and Personalizing Online Education".
As usual, you will have the opportunity to submit questions during the talk that will be discussed with the speaker after the presentation.

Abstract:
The formalism of a MOOClet provides a Framework for how instructors, engineers, and scientific researchers can conceptualize, design and use technology for digital education. It guides the alignment of instructional improvements in digital educational resources (like lessons, exercises, questions) with the advancement of scientific research on learning technologies. The Framework defines MOOClets as modular components of online courses that can be modified to create different versions, which in turn can be iteratively and adaptively improved and personalized to users through experimental comparisons that identify what is better, and for whom.

This talk shows how the MOOClet Framework provides guidance in identifying MOOClets and augmenting existing platforms with a platform-independent layer that enables experimentation and personalization even when platforms do not provide native support.

We present examples of experiments that improve learning from personalized worked examples and engagement in response to personalized emails in MOOCs. These studies also show how MOOClets can be automatically improved and personalized via an API using a broad class of machine learning and AI algorithms for reinforcement learning agents – such as multi-armed bandits and Markov Decision Processes.