Automatic Exam Correction System Involving XAI for Admission to Public Higher Education Institutions: Literature Review

Joaquim João Nsaku Ventura, Joaquim João Nsaku Ventura, Cleyton Rodrigues, Ngombo Armando

2025

Abstract

The process of correcting entrance exams is an essential procedure for assessing the academic performance of student candidates and ensuring fairness and accuracy in the awarding of marks for their future selection. Most lecturers at Angolan higher education institutions carry out the corrections manually, especially subjective corrections. Due to the high number of students, ensuring a high-quality correction process while meeting institutional deadlines becomes challenging. In this context, this article aims to find the techniques and metrics that are used for the automated correction process of assessments with discursive questions, involving Explainable Artificial Intelligence (XAI). This literature review follows the PRISMA 2020 methodology and includes studies from three bibliographic databases: ACM Digital Library, IEEEXplore and Science Direct. The results obtained show that the use of a combination of similarity measures and Natural Language Processing (NLP) provides greater efficiency for the automated correction of discursive questions.

Paper Citation

in Harvard Style

Ventura J., Rodrigues C. and Armando N. (2025). Automatic Exam Correction System Involving XAI for Admission to Public Higher Education Institutions: Literature Review. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 895-904. DOI: 10.5220/0013429900003929

in Bibtex Style

@conference{iceis25,
author={Joaquim Ventura and Cleyton Rodrigues and Ngombo Armando},
title={Automatic Exam Correction System Involving XAI for Admission to Public Higher Education Institutions: Literature Review},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={895-904},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013429900003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Automatic Exam Correction System Involving XAI for Admission to Public Higher Education Institutions: Literature Review
SN - 978-989-758-749-8
AU - Ventura J.
AU - Rodrigues C.
AU - Armando N.
PY - 2025
SP - 895
EP - 904
DO - 10.5220/0013429900003929
PB - SciTePress