6533b850fe1ef96bd12a824d

RESEARCH PRODUCT

Towards Efficient Teacher Assisted Assignment Marking Using Ranking Metrics

Sigurd M. AssevNils Ulltveit-moeHalvard ØYsædTerje Gjøsæter

subject

Information retrieval020205 medical informaticsComputer sciencebusiness.industry05 social sciences050301 educationCognition02 engineering and technologyMachine learningcomputer.software_genreComputingMilieux_COMPUTERSANDEDUCATION0202 electrical engineering electronic engineering information engineeringEntropy (information theory)Plagiarism detectionArtificial intelligencebusiness0503 educationcomputer

description

This paper describes a tool with supporting methodology for efficient teacher assisted marking of open assignments based on student answer ranking metrics. It includes a methodology for how to design tasks for markability. This improves marking efficienty and reduces cognitive strain for the teacher during marking, and also allows for easily giving feedback to students on common pitfalls and misconceptions to improve both the learning outcome for the students as well as the teacher’s productivity by reducing the time needed for marking open assignments. An advantage with the method is that it is language agnostic as well as generally being agnostic to the discipline of the course being assessed. The ranking metrics also provide implicit plagiarism detection.

yearjournalcountryeditionlanguage
2017-01-01
https://doi.org/10.1007/978-3-319-63184-4_19