Name
Title | ||
|---|---|---|
M-CAFE 2.0: A Scalable Platform with Comparative Plots and Topic Tagging for Ongoing Course Feedback. |
Abstract | ||
|---|---|---|
M-CAFE 2.0 is an online and mobile platform that uses collaborative filtering to collect and organize student feedback each week throughout a MOOC or an on-campus course to facilitate mid-course corrections by instructors. M-CAFE 2.0 encourages students to assess course content, structure, and suggestions provided by their peers. It requires minimal extra effort from instructors and is anonymous and separate from all student records. We present results from three pilot studies from on-campus undergraduate courses with 1,211 evaluations and 5,221 peer-ratings from 169 students. Results suggest that comparative plots of past ratings, topic tags and peer-to-peer anonymous suggestion evaluations are valuable in promoting credible and diverse course evaluation. M-CAFE 2.0 is available at m-cafe.org.
|
Year | Venue | Field |
|---|---|---|
2017 | SIGITE | World Wide Web,Collaborative filtering,Engineering,Course evaluation,Multimedia,Scalability |
DocType | ISBN | Citations |
Conference | 978-1-4503-5100-3 | 0 |
PageRank | References | Authors |
0.34 | 7 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mo Zhou | 1 | 8 | 1.84 |
| S. Krishnan | 2 | 391 | 36.25 |
| Jay Patel | 3 | 4 | 1.39 |
| Brandie Nonnecke | 4 | 11 | 3.26 |
| Camille Crittenden | 5 | 3 | 1.71 |
| Ken Goldberg | 6 | 3785 | 369.80 |