Developing Program Grading Suggestion Mechanism by Reusing Teacher Grading Records

Abstract

In this paper, we describe a work-in-progress research to develop a virtual grading assistant system for assisting teachers in grading programming assignments based on the output of student programs. The system provides teachers with an interface to grade student programs through marking token patterns of the program output and offering grades. The system records the teacher marking output token patterns and grades as teacher grading cases. The system will match the outputs of other student programs with the previous record of teacher grading cases to suggest grading to reduce the grading load. The paper presents the system prototype and proposes two research issues, which we will investigate.