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2018 Fiscal Year Final Research Report

Research and development of an automatic judging system for determining the difficulty levels of English audio materials

Research Project

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Project/Area Number 15K12420
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field Educational technology
Research InstitutionAkita Prefectural University

Principal Investigator

OKAZAKI Hironobu  秋田県立大学, 総合科学教育研究センター, 教授 (80405084)

Co-Investigator(Kenkyū-buntansha) 渡辺 貫治  秋田県立大学, システム科学技術学部, 准教授 (20452998)
福田 衣里  中国学園大学, 公私立大学の部局等, 講師(移行) (50617488)
橋本 信一  電気通信大学, 情報理工学域, 特任准教授 (60350500)
木戸 和彦  環太平洋大学, 次世代教育学部, 准教授 (80599184)
Project Period (FY) 2015-04-01 – 2019-03-31
Keywordse-ラーニング
Outline of Final Research Achievements

In order for a learner-selected news audio file to be used as English listening material, the difficulty level of the audio selection must first be determined. Then, its appropriateness as a listening material for a particular learner can be assessed. In this study, we aim to develop an automatic judging system that determines the difficulty levels of audio samples by using an acoustic analysis approach. This approach utilizes a large database of audio samples which was gathered previously.
To achieve this objective: 1. A diagnostic test composed of 180 sentences of mostly English words was given to Japanese learners to collect data on listening mistake tendencies. 2. A website to collect data on the difficulty levels of English learning materials for international students was constructed. 3. A model system for automatic judging was created and a recognition engine for the model was selected. 4. A voice-recognition engine which differs from current approaches was newly developed.

Free Research Field

教育工学

Academic Significance and Societal Importance of the Research Achievements

従来のレベル別教材は、あらかじめ用意された教材、つまりレディメイド教材であり、学習者の細かいニーズを満たすものではなかった。しかし、本研究により、任意の音声素材のリスニング難易度を自動判定するシステムが構築され、e-ラーニング用プログラムに組み込めれば、学習者のレベルだけではなく、趣味や嗜好といったモチベーションにかかわる部分までもカバーするオーダーメイド音声教材の自動提示が可能となるのである。

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Published: 2020-03-30  

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