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PRODID:-//Cornell U. Department of Computer Science//Brown Bag Seminar//EN
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SUMMARY:Brown bag: Erik Andersen
DESCRIPTION:Title: Designing Engaging Learning Experiences\nSpeaker: Erik
	 Andersen\nAbstract: A key challenge in education is designing engaging
	 instructional content that can be tailored to the needs of each student
	 while making as few assumptions as possible. I argue that we can do this
	 by modeling the knowledge we want to teach\, analyzing these models to
	 generate learning materials automatically\, and optimizing these
	 materials through large-scale experimentation. In this talk\, I will
	 present my work in co-creating three video games for teaching fractions
	 that have attracted seven million players: Refraction\, Treefrog
	 Treasure\, and Creature Capture. I will show how we can use test input
	 generation tools to automatically generate progressions of practice
	 problems for teaching a procedural skill\, and how this technique can
	 produce a level progression for Refraction – all of the playable
	 content in the game – that engages players for as long as the original
	 expert-designed progression. I will then present a
	 programming-by-demonstration system that can categorize and reproduce 28
	 systematic misconceptions demonstrated by real students across nine
	 procedures in K-12 math. Finally\, I will demonstrate data-driven
	 optimization of engagement in two online games by presenting results
	 from a multivariate test with 27\,000 players that measured the impact
	 of secondary game objectives on player behavior. Future directions
	 include designing games to teach conceptual topics such as reading
	 comprehension\, foreign language\, critical thinking\, and programming\,
	 restructuring content to match learner skills and strategies\, and
	 discovering optimal learning pathways.
LOCATION:Gates 122
UID:2014-09-02
STATUS:CONFIRMED
DTSTART:20140902T160000Z
DTEND:20140902T170000Z
ORGANIZER;CN=Jonathan Shi:http://www.cs.cornell.edu/~jshi/brownbag/
DTSTAMP:20260408T121905Z
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