Name
Abstract | ||
|---|---|---|
In undergraduate practical courses, it is common to work with groups of 100 or more students. These large-scale courses bring their own challenges. For example, course problems are too small and lack "the big picture"; grading becomes burdensome and repetitive for the teaching staff; and it is difficult to detect cheating. Based on their experience with a traditional large-scale practical course i... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/MCG.2015.107 | IEEE Computer Graphics and Applications |
Keywords | Field | DocType |
Computer science education,Image color analysis,Pattern recognition,Digital images,Media,Large-scale systems | Visual computing,Informatics,Grading (education),Computer science,Image processing,Curriculum,Mathematics education,Cheating,Health informatics,Digital image processing,Multimedia | Journal |
Volume | Issue | ISSN |
35 | 5 | 0272-1716 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nicole M. Artner | 1 | 78 | 9.04 |
| Ines Janusch | 2 | 3 | 1.77 |
| Walter G. Kropatsch | 3 | 896 | 152.91 |