| Project/Area Number |
23K00773
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Review Section |
Basic Section 02100:Foreign language education-related
|
|---|
| Research Institution | The University of Aizu |
|---|
Principal Investigator |
Nicholas Allan 会津大学, コンピュータ理工学部, 上級准教授 (50811048)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
Mozgovoy Maxim 会津大学, コンピュータ理工学部, 上級准教授 (60571776)
BLAKE John 会津大学, コンピュータ理工学部, 上級准教授 (80635954)
|
|---|
| Project Period (FY) |
2023-04-01 – 2026-03-31
|
| Project Status |
Granted (Fiscal Year 2023)
|
| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2025: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2024: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2023: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
|
|---|
| Keywords | pragmatics / pragmatic failure / speaking / language assessment / EFL / Speaking / Pragmatics |
|---|
| Outline of Research at the Start |
In this project, we create a computerised assessment of learners' oral proficiency in English, identifying pragmatic errors and giving immediate feedback tailored to their specific needs. Feedback effectiveness is evaluated.
|
| Outline of Annual Research Achievements |
This year, we have made a number of achievements relating to the project. The initial phase of the project involves creating a corpus of learner oral requesting in English with varying interlocutor types. This is to see how learners' oral requests might vary depending on who their interlocutor is. We collected the oral data and transcribed it so that it could be analysed. We created two coding schemes for the text data analysis, one for identifying pragmatic features, and one for identifying instances of pragmatic failure, and manually applied the coding to the corpus texts. This coding was then analysed for patterns in learner oral requesting that will inform development of the software. The patterns were identified and summarised for use in the next project phase.
|
| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The initial phase of the project is to collect oral requesting data, create coding schemes that allow us to identify pragmatic features of learner oral requesting and also instances of pragmatics failure, and manually annotate the corpus text data for these aspects. This work is essential for the next phase of the project, which is to begin developing the computerised dynamic assessment programme, which will auotmatically identify pragmatic failure in learner oral requests and provide feedback. We were able to complete this initial phase of the project.
|
| Strategy for Future Research Activity |
We plan to build upon the work we completed in the first phase of the project. In the first phase, we created a corpus of learner oral requests, applied coding schemes to the data that allowed us to identify patterns of pragmatic failure in the target learners' requesting. Following this we will use this to begin the development process of the dynamic assessment programme. We will begin the development of the various aspects of the programme, including the automatic voice recognition functionality, development of the computerised interlocutor that learners will interact with, and begin developing the automated feedback system that will promote learner development. We plan to carry out prototyping and testing of the software.
|
