Leconfe
International Symposium on Artificial Intelligence (ISAI)

Implementation of Artificial Intelligence in Improving the Efficiency of Learning Assessment

Date Published : 24 September 2024
paper-cover

Contributors

Vanessa Violet

Translator

Herline Morie

Author

DOI

DOI 10.12821/mpb66e87

Proceeding

Vol. 1 No. 2 (2024): Innovate Education with AI

Track

General Track

License

Copyright (c) 2024 International Symposium on Artificial Intelligence (ISAI)

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Abstract

This study aims to explore the potential of artificial intelligence (AI) in improving the efficiency of the learning assessment process. By utilizing machine learning algorithms, this study develops an automated assessment system that is able to analyze students' answers objectively and provide relevant feedback. Through a case study on the subject [subject], this study shows that an AI-based assessment system can reduce the workload of teachers in checking assignments, provide faster and more accurate assessment results, and provide opportunities for students to get more personalized and specific feedback.

References

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Williams, K. S., & Patel, R. M. (2021). Enhancing peer review processes in academic conferences: Challenges and solutions. Journal of Peer Review and Scholarly Communication, 10(4), 341-356.
Leconfe Team. (2023). Leconfe: Revolutionizing conference management and publication. Retrieved from Leconfe Official Website.
Brown, H. A., & Chen, Y. (2022). User experience in conference management systems: A comparative study. Journal of User Experience and Interface Design, 5(1), 89-102.
Green, M. E., & Lee, D. J. (2021). Digital platforms in academic publishing: Trends and future directions. Journal of Digital Publishing, 14(2), 67-80.

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How to Cite

Morie, H. (2024). Implementation of Artificial Intelligence in Improving the Efficiency of Learning Assessment (V. Violet, Trans.). International Symposium on Artificial Intelligence (ISAI), 1(2), 3-12. https://doi.org/10.12821/mpb66e87