| アイテムタイプ |
紀要論文 / Departmental Bulletin Paper(1) |
| 公開日 |
2026-01-27 |
| タイトル |
|
|
タイトル |
Effective use of ChatGPT for analyzing descriptive opinions in course evaluations |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
言語 |
en |
|
主題 |
IR analysis |
| キーワード |
|
|
言語 |
en |
|
主題 |
Prior classification |
| キーワード |
|
|
言語 |
en |
|
主題 |
ChatGPT-3.5 |
| キーワード |
|
|
言語 |
en |
|
主題 |
Bullet points |
| キーワード |
|
|
言語 |
en |
|
主題 |
Documenting |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
departmental bulletin paper |
| 著者 |
保田, 昌秀
Hamza, Anshida
向井, 萌依
太田黒, 桃花
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
In institutional research (IR), questionnaires are an effective method of surveying students' opinions and behavior. Generally, questionnaire responses are given by Likert Scale, multiple-choice answer, or written answer. Compared to score rating and multiple-choice responses, written responses are not easy to analyze. Therefore, an effective analysis method of written answers is required. Recently, a generative AI, a form of artificial intelligence that can generate various contents, has been developed. Therefore, we examined the application of ChatGPT to analyzing written opinions in course evaluations by students. The results showed that when there are a large number of opinions, it was necessary to manually organize the student opinions in advance, because there is a limit to the number of words of opinions that can be analyzed using the free version of ChatGPT-3.5. In addition, the results of analysis by sentences differed each time, and it was necessary to add conditions to the “prompt”. Therefore, in order to obtain stable results, the written opinions were analyzed into bullet points. Feedback to the university was provided by editing the bullet points manually or using ChatGPT. It is expected that this analysis method using ChatGPT will lead to improved quality of IR. |
|
言語 |
en |
| bibliographic_information |
ja : 比較文化
en : Comparative Culture, The Journal of Miyazaki International University
巻 29,
p. 71-82,
発行日 2025-12
|
| 出版者 |
|
|
出版者 |
宮崎国際大学 |
|
言語 |
ja |
| 出版者 |
|
|
出版者 |
Miyazaki International University |
|
言語 |
en |
| item_10002_source_id_9 |
|
|
収録物識別子タイプ |
EISSN |
|
収録物識別子 |
1343-8476 |
Comparative_Culture2024.6.Yasuda.pdf (8.4 MB)
