UIVLP: An Improved User Interface and Visualization Technique to Visualize Learners’ Performances

Mukesh Rohil, Trishna Paul

2025

Abstract

In most of the educational setups, the grading of students’ performance is based on their relative standing in the class. In this work, we develop and present a user interface to visualize students’ performance, expressed in terms of marks, out of same maximum marks for each subject, scored by the students in various evaluation components for a subject. First, we statistically select three most informative subjects for the whole class and then find the individual student’s average score in all components along with the overall average of whole class for an evaluation component. We assume that the three courses’ performance for which the 3D visualization is required, is either specified by the evaluator or selected by the system basis principal component analysis. The visualization procedures have been developed for both, the individual student and the entire class. The interactive 3D visualization and the bar-graphs can be compared side-by-side and we visually observe that the scatter-plot of clusters provides better insights as compared to the conventional bar-graphs. We also observe that the proposed visualization is better than the bar-graphs basis no-reference BRISQUE image quality assessment. However, there may be certain situations when both types of graphs might be needed.

Paper Citation

in Harvard Style

Rohil M. and Paul T. (2025). UIVLP: An Improved User Interface and Visualization Technique to Visualize Learners’ Performances. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 861-867. DOI: 10.5220/0013191000003890

in Bibtex Style

@conference{icaart25,
author={Mukesh Rohil and Trishna Paul},
title={UIVLP: An Improved User Interface and Visualization Technique to Visualize Learners’ Performances},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2025},
pages={861-867},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013191000003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - UIVLP: An Improved User Interface and Visualization Technique to Visualize Learners’ Performances
SN - 978-989-758-737-5
AU - Rohil M.
AU - Paul T.
PY - 2025
SP - 861
EP - 867
DO - 10.5220/0013191000003890
PB - SciTePress