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Talk: Modeling Complex Skill with Educational Data Mining

December 15, 2016 @ 10:45 am - 12:30 pm

Co-sponsored by: Yuchi Huang

RSVP is necessary; Email yhuang001@ets.org (Yuchi) if you would like to attend.

In recent years, the emerging methods of educational data mining have made it possible to model performance on complex skills occurring within online education, making it possible in turn to measure learning of these skills over time. In this talk, I will discuss my lab’s work to model the development of these skills, both in structured contexts such intelligent tutoring systems, and less structured contexts such as simulations and serious games. For example, I will discuss our work to infer when students are able to successfully design controlled experiments within simulations, and when they are able to successfully navigate a complex virtual environment to gather evidence that enables them to answer causal questions about events in that virtual environment. By modeling complex student skill and inferring students’ knowledge of these skills, we make it possible to create educational and training environments that can support students in developing robust and useful competencies.

 

Speaker(s): Ryan Baker,

Location:
Room: 016
Bldg: P Building (ANRIG building)
660 rosedale road
Princeton, New Jersey
08541

Details

Date:
December 15, 2016
Time:
10:45 am - 12:30 pm
Website:
http://events.vtools.ieee.org/m/42368

Organizer

[email protected]
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