並行AIモデルによる手書き英作文の文字認識自動採点システムの開発

利用并行AI模型开发手写英语作文字符识别自动评分系统

• 批准号: 22K02917
• 负责人: ブルカート クリストファー
• 金额: $ 2.75万
• 依托单位: Oita 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 2024-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22K02917/
• 关键词: AI-score student writing; 並行AIモデル

Lacking access to the expected entrance exam data, customized writing prompts were created from scratch and administered to groups of 1st year students at Oita University. Approximately 250 student writing responses have been collected and graded manually to date. Models for automatically scoring this type of writing response have been implemented. The auto-grading results are so far mixed, but testing is ongoing. A preliminary model for handwriting recognition has been run but requires more appropriate data. Specifically, handwriting samples closer to those which would be submitted for actual entrance exams are needed.

缺乏访问预期的入学考试数据，从头开始创建定制写作提示，并向OITA大学的一年级学生进行管理。迄今为止，已经收集了大约250个学生写作回答并手动分级。已经实现了自动评分此类写作响应的模型。到目前为止，自动分级结果混合在一起，但是测试正在进行中。已经运行了用于手写识别的初步模型，但需要更合适的数据。具体而言，需要将手写样本更接近将要提交实际入学考试的手写样本。

项目成果

Assessing Intercultural Sensitivity of Japanese Preservice Teachers

评估日本职前教师的跨文化敏感性

• 发表时间: 2022
• 作者: Burkart;K.;& Burkart;C.
• 通讯作者: C.