University of Twente Student Theses


A student’s take on challenges of AI-driven grading in higher education

Stoica, E. (2022) A student’s take on challenges of AI-driven grading in higher education.

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Abstract:Artificial Intelligence (AI) is one of the emerging innovations that are continuously shaping today’s world. The usage and applications of AI can be observed in numerous fields, from medicine to education. However, when looking at these areas, there are still challenges that need to be overcome for the seamless integration of AI. For higher education, assessing students' capabilities is a critical factor in the learning and growing process. The grading procedure, especially for open-ended questions, can prove to be difficult and time-consuming for examiners. Hence, it is believed that AI might help in the grading of these types of questions. This research aims to discover the challenges that can arise with using AI for automated grading, from a teaching assistant’s (TA) perspective. In the context of the research, a TA represents a student supporting educational activities. Furthermore, an overview of possible prerequisites that should be considered throughout the automated grading process is offered. This is done through literature reviews and by interviews and a survey with TAs in higher education. Whilst AI can be perceived differently by TAs, the results highlight that it represents the future. However, AI should only be used as a support tool for assessors and continuously improved for better acceptance and integration. The research brings value to an ongoing project focused on the development of an AI-supported grading tool at the University of Twente. Additionally, it adds information about automated grading to the scientific body of knowledge.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science, 81 education, teaching
Programme:Business & IT BSc (56066)
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