@inproceedings{konstan_teaching_2014,
	address = {New York, NY, USA},
	title = {Teaching {Recommender} {Systems} at {Large} {Scale}: {Evaluation} and {Lessons} {Learned} from a {Hybrid} {MOOC}},
	url = {http://doi.acm.org/10.1145/2556325.2566244},
	doi = {10.1145/2556325.2566244},
	abstract = {In Fall 2013 we offered an open online Introduction to Recommender Systems
through Coursera, while simultaneously offering a for-credit version of
the course on-campus using the Coursera platform and a flipped classroom
instruction model. As the goal of offering this course was to experiment
with this type of instruction, we performed extensive evaluation including
surveys of demographics, self-assessed skills, and learning intent; we
also designed a knowledge-assessment tool specifically for the subject
matter in this course, administering it before and after the course to
measure learning. We also tracked students through the course, including
separating out students enrolled for credit from those enrolled only for
the free, open course. This article reports on our findings.},
	urldate = {2014-03-19},
	booktitle = {L@{S} '14},
	publisher = {ACM},
	author = {Konstan, Joseph A and Walker, J D and Brooks, D Christopher and Brown, Keith and Ekstrand, Michael D},
	month = mar,
	year = {2014},
	note = {Journal Abbreviation: L@S '14},
	pages = {61--70},
}

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