| Project: |
Web-CAT Rubric Designer |
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| Student Researchers: |
Jaime Garcia-Ramirez, |
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| Advisor: |
Stephen Edwards |
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| Institution: |
Virginia Tech |
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| Webpage: |
Web-CAT is an automated assignment grading system that already provides a rich interface for course staff to manually "mark up" student code with comments, suggestions, and point deductions, and already lets instructors choose their own balance between the amount of credit allocated to hand-grading and the amount devoted to the automated analyses provided by the assessment plug-ins they have chosen to use. However, many instructors prefer to use more structured strategies for hand-grading, which are usually framed as grading rubrics. Indeed, one can imagine grading rubrics as the basis for performing even the automated portions of an evaluation. While tools or applying rubrics to assignments during grading have already been prototyped, there is no existing support for instructors in designing, customizing, and reusing the rubrics they wish to use in evaluating student work. As part of this project, the students will expand Web-CAT's support for manual grading so that instructors can define their own grading rubrics, reuse rubric criteria written by others, share their rubric design work, and apply rubrics for evaluating student assignments. The students have to define the user interface for the system, evaluate it by doing formative evaluation with professors and TAs that use the system, and define the data model required for the project.