Context-Aware Scoring: A Hybrid Approach to Evaluating Descriptive Responses

Authors

  • Lt.Dr.Babu S,Dr.T.S.Umamaheswari,Dr. P. Parameswari Author

DOI:

https://doi.org/10.48047/zwy7kr19

Keywords:

.

Abstract

Assessment of academic performance is a dynamic aspect of education, and test styles can be either objective or subjective. While assessing objective responses is straightforward, assessing descriptive responses can be challenging. Evaluating objective questions is made simpler when they have a predefined set of responses. However, because they portray themselves differently, it gets 
difficult when students give detailed answers. 

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References

Xipung et.al., "A feature learning approach based on XGBoost for driving assessment and risk prediction," Accid. Anal. Prev., vol. 129, pp. 170-179, 2019.

T. Kasahara and D. Kawahara, "Exploring automatic evaluation methods based on a decoder-based large language model for text generation," Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: Student Research Workshop, pp. 24–31, Nov. 1–4, 2023.

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Published

2025-02-20

How to Cite

Context-Aware Scoring: A Hybrid Approach to Evaluating Descriptive Responses (Lt.Dr.Babu S,Dr.T.S.Umamaheswari,Dr. P. Parameswari , Trans.). (2025). Cuestiones De Fisioterapia, 54(4), 7495-7504. https://doi.org/10.48047/zwy7kr19