An effective tool for learning the visual effects of rendering algorithms

Rosalee Wolfe, Andrew Sears

Research output: Contribution to specialist publicationArticle

2 Scopus citations

Abstract

Visual analysis is important to computer science students taking graphics courses. We created a tool called TERA to help students hone their visual analysis skills. We evaluated TERA's effectiveness by recording student performance on the visual identification portion of the midterm for two quarters. In the first class, students did not have access to TERA. In the second, they did. Students having access to TERA scored better on the visual identification portion of the midterm.

Original languageEnglish (US)
Pages54-55
Number of pages2
Volume30
No3
Specialist publicationComputer Graphics (ACM)
DOIs
StatePublished - Aug 1996

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Computer Graphics and Computer-Aided Design

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