A study into the use of Extended Concept Maps and Speech Recognition to improve lower-order language skills and higher-order thinking skills for language learners in Japan

使用扩展概念图和语音识别来提高日本语言学习者的低阶语言技能和高阶思维技能的研究

• 批准号: 22K00760
• 负责人: Gary Ross
• 金额: $ 2.75万
• 依托单位: Kanazawa University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2022
• 资助国家: 日本
• 起止时间: 2022-04-01 至 2026-03-31
• 项目状态: 未结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22K00760/
• 关键词: speech recognition; Concept Maps; ChatGPT; AI; online learning; concept maps; higher-order skills

The purpose of this project is to investigate how the use of Extended Concepts Maps combined with Speech Recognition to improve lower-order and higher-order critical thinking. The first year plan was the technical development of the system and to find student attitudes to the using speech recognition.An initial test into the accuracy of speech recognition was performed and presented at the JALTCALL conference of 2022. It was found that speech recognition was very accurate for native speakers but had varying levels of accuracy with non-native speakers. There was a correlation between speaker level and accuracy but it was not statistically significant due to the small sample and the difficulty ascertaining actual non-native speaker level.A brief pilot study was performed in conjunction with Tokyo Medical and Dental University with Jeanette Dennisson to ascertain attitudes towards using Speech Recognition in a drilled setting and this feedback is still being analyzed but initial analysis shows that the feedback was broadly positive for the use in learning and issues were mainly confined to minor technical issues.Integration of ChatGPT has been performed despite it only appearing in November 2022 with its use being accepted for two future conferences.

这个项目的目的是研究如何使用扩展概念地图与语音识别相结合来提高低阶和高阶批判性思维。第一年的计划是系统的技术开发和发现学生对使用语音识别的态度。对语音识别的准确性进行了初步测试，并在2022年的JALTCALL会议上进行了展示。研究发现，语音识别对母语人士来说非常准确，但对非母语人士来说，准确率却不尽相同。讲话者水平与准确性之间存在相关性，但由于样本小且难以确定实际的非母语讲话者水平，因此统计上不显着。与东京医科和牙科大学以及Jeanette Dennisson一起进行了一项简短的试点研究，以确定在操练环境中使用语音识别的态度，该反馈仍在分析中，但初步分析表明，对学习中的使用反馈大体上是积极的，问题主要局限于次要的技术问题。尽管ChatGPT在2022年11月才出现，但它已经进行了集成，并在未来的两次会议上被接受使用。