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.
Original language | English (US) |
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Title of host publication | L@S 2014 - Proceedings of the 1st ACM Conference on Learning at Scale |
Publisher | Association for Computing Machinery |
Pages | 61-70 |
Number of pages | 10 |
DOIs | |
State | Published - Jan 1 2014 |
Event | 1st ACM Conference on Learning at Scale, L@S 2014 - Atlanta, GA, United States Duration: Mar 4 2014 → Mar 5 2014 |
Other
Other | 1st ACM Conference on Learning at Scale, L@S 2014 |
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Country/Territory | United States |
City | Atlanta, GA |
Period | 3/4/14 → 3/5/14 |
Keywords
- Distance learning
- Evaluation
- MOOC
- Open learning