Comparing Short-Term and Long-Term Online Courses Using the Kano Model and Neural Network Language Models

被引：0
|
作者：
Marutschke, Daniel Moritz [1 ]
Hayashi, Yugo [2 ]
机构：
[1] Ritsumeikan University, College of Global Liberal Arts, Osaka, Japan
[2] Ritsumeikan University, Department of Comprehensive Psychology, Osaka, Japan
来源：
30th International Conference on Computers in Education Conference, ICCE 2022 - Proceedings | 2022年 / 1卷
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
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学科分类号：
摘要：
Computational linguistics - Customer satisfaction - E-learning - Education computing - Learning systems - Students
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页码：352 / 357
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