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Authors: Minghao Lin 1 ; Koichiro Ito 1 and Shigeki Matsubara 1 ; 2

Affiliations: 1 Graduate School of Informatics, Nagoya University, Japan ; 2 Information & Communications, Nagoya University, Japan

Keyword(s): Question Generation, Computer-Assisted Language Assessment, Language Speaking Test, Oral Proficiency Interview.

Abstract: As globalization continues to progress all over the world, demand is growing for objective and rapid assessment of language proficiency in foreign language learners. While automated assessment of listening, reading, and writing skills has been proposed, little research has been done to automate assessment of speaking skills. In this paper, we propose a method of deciding the difficulty of questions generated for interview tests of skills assessment in speaking a foreign language. To address question difficulty flexibly according to the abilities of test takers, our method considers the appropriateness of responses from test takers. We implemented this method using the large-scale pre-trained language model BERT (Bidirectional Encoder Representation from Transformers). Experiments were conducted using simulated test data from the Japanese Learner’s Conversation Database to confirm the effectiveness of our method in deciding difficulty.

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Paper citation in several formats:
Lin, M.; Ito, K. and Matsubara, S. (2023). Question Difficulty Decision for Automated Interview in Foreign Language Test. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-623-1; ISSN 2184-433X, SciTePress, pages 760-767. DOI: 10.5220/0011774900003393

@conference{icaart23,
author={Minghao Lin. and Koichiro Ito. and Shigeki Matsubara.},
title={Question Difficulty Decision for Automated Interview in Foreign Language Test},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2023},
pages={760-767},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011774900003393},
isbn={978-989-758-623-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Question Difficulty Decision for Automated Interview in Foreign Language Test
SN - 978-989-758-623-1
IS - 2184-433X
AU - Lin, M.
AU - Ito, K.
AU - Matsubara, S.
PY - 2023
SP - 760
EP - 767
DO - 10.5220/0011774900003393
PB - SciTePress

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