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http://repositorio.grial.eu/handle/grial/3066
Title: | A Trustworthy Automated Short-Answer Scoring System Using a New Dataset and Hybrid Transfer Learning Method |
Authors: | Maslim, M. Wang, H.-C. Putra, C. D. Prabowo, Y. D. |
Keywords: | Automated Short Answer Scoring Hybrid Transfer Learning Student Answer Dataset Trustworthy System |
Issue Date: | 5-Feb-2024 |
Publisher: | Universidad Internacional de la Rioja |
Citation: | M. Maslim, H.-C. Wang, C. D. Putra y Y. D. Prabowo, "A Trustworthy Automated Short-Answer Scoring System Using a New Dataset and Hybrid Transfer Learning Method," International Journal of Interactive Multimedia and Artificial Intelligence, vol. 8, no. 5, pp. 37-45, 2024. doi: 10.9781/ijimai.2024.02.003. |
Abstract: | To measure the quality of student learning, teachers must conduct evaluations. One of the most efficient modes of evaluation is the short answer question. However, there can be inconsistencies in teacher-performed manual evaluations due to an excessive number of students, time demands, fatigue, etc. Consequently, teachers require a trustworthy system capable of autonomously and accurately evaluating student answers. Using hybrid transfer learning and student answer dataset, we aim to create a reliable automated short answer scoring system called Hybrid Transfer Learning for Automated Short Answer Scoring (HTL-ASAS). HTL-ASAS combines multiple tokenizers from a pretrained model with the bidirectional encoder representations from transformers. Based on our evaluation of the training model, we determined that HTL-ASAS has a higher evaluation accuracy than models used in previous studies. The accuracy of HTL-ASAS for datasets containing responses to questions pertaining to introductory information technology courses reaches 99.6%. With an accuracy close to one hundred percent, the developed model can undoubtedly serve as the foundation for a trustworthy ASAS system. |
URI: | http://repositorio.grial.eu/handle/grial/3066 |
ISSN: | 1989-1660 |
Appears in Collections: | Publications of others peers |
Files in This Item:
File | Description | Size | Format | |
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Maslim.pdf | Article | 791,92 kB | Adobe PDF | View/Open |
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