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2023 年度 実施状況報告書

Dynamic Genre-Specific Automated Online Feedback Tool

研究課題

研究課題/領域番号 23K00656
研究機関会津大学

研究代表者

CARR Nicholas  会津大学, コンピュータ理工学部, 准教授 (70965699)

研究分担者 Julian Villegas  会津大学, コンピュータ理工学部, 上級准教授 (50706281)
BLAKE John  会津大学, コンピュータ理工学部, 上級准教授 (80635954)
研究期間 (年度) 2023-04-01 – 2026-03-31
キーワードAutomative feedback / Dynamic assessment / Sociocultural theory / iCALL / L2 Writing
研究実績の概要

The Dynamic Genre-Specific Automated Online Feedback Tool we are developing is important because there is no online automated corrective feedback tool that provides dynamic feedback on the linguistic features of computer science writing. With the release of OpenAI, we are pursuing the incorporation of added features to our original tool - mainly targeting grammar errors. A thorough search of the literature shows that automated dynamic assessment of additional language writing is challenging due to not being able to predict learner errors. However, we are hoping to develop a tool which, through the use of generative AI, can take a step towards an interactionist type of automated dynamic assessment. The protoype is almost finished and multi-modal feedback explanations have been created.

現在までの達成度 (区分)
現在までの達成度 (区分)

3: やや遅れている

理由

We are making good progress. However, due to the release of OpenAI and other generative AI after applying for this finding, we are investigating the expansion of the tool to not only target genre-specific errors of computer science but also grammatical errors. This addition has meant we are very slighty behind our original schedule of releasing the prototype version of the tool.

今後の研究の推進方策

We intend to spend some more time further exploring the possibility of using generative AI for our tool. Such investigation is important because it will allow our tool to provide greater assistance to users. Once this is complete, the prototype version of the tool will be available for students to use and we will conduct multiple rounds of usability tests to refine the tool this academic year. This will set up the primary project, which is investigate the learning effects of using the tool over a full semester in the following year. We are always planning on submitting articles/book chapters to publish the development phase of the tool later in 2024.

次年度使用額が生じた理由

Because of the release of OpenAI and other generative AI to the general public, we needed to spend more time considering how to develop the tool. While taking time to consider this, we did not use all of our planned budget as we considered how to incorporate generative AI - and as such did not spend all our allocated budget. Furthermore, conference presentations have been pushed back until the current academic year.

  • 研究成果

    (1件)

すべて 2024

すべて 学会発表 (1件) (うち国際学会 1件)

  • [学会発表] Dynamic Online Assessor: Scientific Genre-Specific Automated Feedback2024

    • 著者名/発表者名
      Nicholas Carr
    • 学会等名
      Japanese Association for Language Teacher Computer Assisted Language Learning 2024
    • 国際学会

URL: 

公開日: 2024-12-25  

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