University of Twente Student Theses

Login

Improvement of AI-assessment systems in grading open questions based on the teaching assistant’s view

Coviliac, Anastasia (2022) Improvement of AI-assessment systems in grading open questions based on the teaching assistant’s view.

[img] PDF
685kB
Abstract:Artificial intelligence (AI) and automation technologies emerged and were extensively introduced in higher education in recent years. Even though a lot of research was done on the experimental level, limited literature examines and assesses the effects and coherence of applying different AI techniques in assessing open questions in the form of text, applying higher education requirements. The following research aspires to understand the practical adjustments of AI technologies in digital assessment at the university level, considering a teaching assistant view. To accomplish the scope, the systematic literature review is used to create an overview of AI assessment systems, their benefits, and possible limitations. Interviewees give supportive information on the literature findings and make suggestions for continuous improvement of AI-driven systems by concluding on the importance of human presence. Moreover, teaching assistants give insights on the acceptance level of AI integration in the grading process of the open questions. Because of the fast changing AI technologies and approaches, this paper emphasizes the importance of the teaching assistant's collaboration with numerous algorithms in the context of the country, institution, and willingness to adapt to the digital assessment.
Item Type:Essay (Bachelor)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:85 business administration, organizational science
Programme:International Business Administration BSc (50952)
Link to this item:https://purl.utwente.nl/essays/91314
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page