University of Twente Student Theses


Transparency in AI-driven Grading Tools for Open-ended Questions in Higher Education

Hofman, J. (2023) Transparency in AI-driven Grading Tools for Open-ended Questions in Higher Education.

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Abstract:Automated grading systems have been developed to support the grading process of open-ended questions in exams. However, these systems lack transparency on the student side. This study aims to investigate how much and what information students would like to receive with regard to automated grading tools, specifically with regard to EasyGrader, an AI-supported grading tool that is being developed by the University of Twente. In order to achieve this goal, a mixed methods research was conducted, consisting of a literature review, a survey and interviews. The literature review explores current practices for making AI systems transparent. The survey and interviews with students are conducted to gather their perspectives and preferences on transparency in automated grading tools. The survey and interviews revealed that students prefer to be informed about these systems before they take an exam, with a reminder during or after the assessment. Students also expect different types of information, including how the system works and how teachers are still involved in grading. These findings can lead to a better understanding of how to design transparent AI-supported grading tools that meet students' needs.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Programme:Business & IT BSc (56066)
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