Feasibility of Prediction of Student's Characteristics Using Texts of Essays Written During a Fully Online Course
Author:
Affiliation:
1. Tokyo Institute of Technology,Meguro, Tokyo,Japan
2. The University of Electro-Communications,Chofu, Tokyo,Japan
3. Shinshu University,Matsumoto, Nagano,Japan
Funder
Japan Society for the Promotion of Science (JSPS)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10303005/10303035/10303375.pdf?arnumber=10303375
Reference36 articles.
1. A review of deep-neural automated essay scoring models
2. Development of critical thinking disposition during a blended learning course;nakayama;Proceedings of 19th European Conference on e-Learning,2020
3. Evaluation of essays and comments for developing thinking ability during a university course;nakayama;Proc Psychology Learning Technology in November,2022
4. The relationship between student's characteristics and online discussion activity;nakayama;Proceedings of 17th European Conference on E-Learning,2018
5. The Feasibility of Evaluating Critical Thinking Disposition using Features of Essay Reports
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
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