Accepted 10 January 2021
Available Online 22 February 2021
- Engineering education
Automatic short answer grading
Latent semantic analysis
Natural language processing
In this paper, a web-based Turkish automatic short answer grading system (TASAG) is developed to score exam questions and to generate online exams for automatic scoring of short-answer questions. The novelty of this study is that TASAG is the ﬁrst software of its kind for the Turkish language. The algorithm of the TASAG software is a hybrid that determines which method will be used at runtime based on the word number dimensions to achieve accurate scoring. To measure the software's accuracy, a case study is performed for computer engineering. Instructors' scoring results and the TASAG software scoring results were compared. Two instructors prepared diﬀerent answer keys for the same exam to increase the accuracy of the scoring. The scoring results, which are compared in the ﬁgures, are very close to each other, which indicate the eﬀectiveness of the TASAG software. Moreover, the TASAG arithmetic mean scores for each answer key are calculated and given as the ﬁnal score for the exam. According to the results, the TASAG software can be used for automated short answer grading system in Turkish with a 92% success rate.
- © 2021 The Authors. Published by Atlantis Press B.V.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite This Article
TY - JOUR AU - Ebru Yilmaz Ince AU - Akif Kutlu PY - 2021 DA - 2021/02/22 TI - Web-Based Turkish Automatic Short-Answer Grading System JO - Natural Language Processing Research SP - 46 EP - 55 VL - 1 IS - 3-4 SN - 2666-0512 UR - https://doi.org/10.2991/nlpr.d.210212.001 DO - https://doi.org/10.2991/nlpr.d.210212.001 ID - Ince2021 ER -