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How do ICT tools for language learning enhance learners' affective development?

用于语言学习的信息通信技术工具如何促进学习者的情感发展？

基本信息

批准号：
21K13056
负责人：
礒部靖世
金额：
$ 1.66万
依托单位：
Chitose Institute of Science and Technology (2022)Akita Prefectural University (2021)
依托单位国家：
日本
项目类别：
Grant-in-Aid for Early-Career Scientists
财政年份：
2021
资助国家：
日本
起止时间：
2021-04-01 至 2024-03-31
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21K13056/
关键词：
self-confidence language anxiety Padlet ICT anxiety speaking ICT tools speaking anxiety

项目摘要

Existing literature revealed positive impacts of ICT tools on the development of linguistic skills; however, impacts of the tools on affective changes are still under investigation. Enhancing affective factors is crucial for language learning, because low levels of self-confidence and high levels of language anxiety could have negative impacts on language learning. As a result, they may produce only limited amount of output. Hence, alternative ways to increase learners’ output is necessary. This research explores to what extent ICT tools can positively influence these affective factors of language learners. In order to understand the benefits of ICT tools on affective changes, an educational experiment was carried out in summer 2022. In the experiment, two types of instruction (e.g., face-to-face and remote language teaching) and practice (e.g., in-person live and audio-recoded role-plays) were given to Japanese university students, and the impacts of these types of instruction and practice were evaluated by questionnaires that had both Likert-scale questions and open-ended questions. The data were briefly analyzed in fall 2022, and one conference abstract based on the analysis was accepted.

现有文献表明，信息和通信技术工具对语言技能的发展有积极影响；然而，这些工具对情感变化的影响仍在调查中。加强情感因素对语言学习至关重要，因为缺乏自信和高度的语言焦虑可能会对语言学习产生负面影响。因此，它们可能只会产生有限的产出。因此，有必要采用其他方法来增加学习者的产出。本研究旨在探讨ICT工具在多大程度上能对语言学习者的这些情感因素产生积极影响。为了了解信息和通信技术工具对情感变化的好处，在2022年夏天进行了一项教育实验。在实验中，对日本大学生进行了两种类型的教学(例如面对面和远程语言教学)和练习(例如面对面直播和录音角色扮演)，并通过包含Likert量表问题和开放式问题的问卷来评估这些类型的教学和练习的效果。2022年秋季对数据进行了简要分析，并接受了一份基于分析的会议摘要。