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2023 年度 実施状況報告書

Adapting second language learning methods to brain plasticity levels

研究課題

研究課題/領域番号 23K18970
研究機関東京大学

研究代表者

Barbir Monika  東京大学, ニューロインテリジェンス国際研究機構, 特任研究員 (20977772)

研究期間 (年度) 2023-08-31 – 2025-03-31
キーワードLanguage acquisition / Online study / EEG study / Lifespan / Grammar learning
研究実績の概要

In the current fiscal year, we were able to extract and analyse the sentence constructions we want to use in our experiments, from natural languages. The data and results on extracting and understanding the structures were presented at an international conference. We have also developed the online the experiment we plan to deploy and are working on implementing the behavioural+EEG experimental code. The results will help us understand how humans learn diverse languages across the lifespan. They are essential for creating better pedagogical methods for teaching second languages in classes and applications.

現在までの達成度 (区分)
現在までの達成度 (区分)

2: おおむね順調に進展している

理由

We were able to create the stimuli for the experiments and get pilot versions of the studies running. We have some obstacles with loading time on the online study that might take some time to resolve. We feel we are on track to start testing soon.

今後の研究の推進方策

We need to finish the experiment codes and start testing participants. We have one engineer working on the online study. The computer we planned to use is too slow so we will need to buy a more performative one.

次年度使用額が生じた理由

The next year the amount will be used to buy a more powerful computer to perform the experiment. It will also be used for an engineer and research assistants for the development of the online game and EEG experiment code. We will also travel internationally to set up the international version of the experiment. The funding will also be used for participant payment.

備考

We have posted some content about grammar learning related to the content of the study on a website for parents and educators that we run. Posts are in English, Japanese, and other languages.

  • 研究成果

    (2件)

すべて 2023 その他

すべて 学会発表 (1件) (うち国際学会 1件) 備考 (1件)

  • [学会発表] Learning from sparce input: How children learn morphosyntactic elements that are often omitted in speech.2023

    • 著者名/発表者名
      Monica Barbir, Yuka Tatsumi, Sho Tsuji
    • 学会等名
      The Many Paths to Language
    • 国際学会
  • [備考] Kotoboo

    • URL

      Kotoboo.org

URL: 

公開日: 2024-12-25  

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