Faculty Information

（Last updated : 2024-01-10 10:30:01）

NAKAMURA Shuya
Department Aoyama Gakuin University Institute of Information and Media, Institute of Information and Media

Position Assistant Professor

■ Specialization and related fields

Educational technology, Information network, Database

■ Academic background

1.	Tokyo University of Science Graduated
2.	Tokyo University of Science〔Master Course〕 Completed
3.	Tokyo University of Science
4.	Tokyo University of Science〔Doctorial Course〕 Completed

■ Business career

1.	2020/04～2023/03	Aoyama Gakuin University Institute of Information and Media Institute of Information and Media Research Associate
2.	2023/04～	Aoyama Gakuin University Institute of Information and Media Institute of Information and Media Assistant Professor

■ Belonging society

2016/09～

Institute of Electrical and Electronics Engineers

■ Committee and society

2018/12/05

2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE2018) Program Committee

■ Academic conference presentation

1.	2020/03/03	Development and Evaluation of an Answer Prediction System using Adaptive Questions for Course Evaluation Items based on a Hierarchical Item Bank (14th International Technology, Education and Development Conference)
2.	2018/12/05	Topic Analysis of Syllabus for Faculty of Engineering in the Japanese National University (2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering)
3.	2018/10/10	Development of an E-Learning Prototype System Using Virtual Reality-Based Smartphone for Physics Experimental (2018 IEEE 7th Global Conference on Consumer Electronics (GCCE))
4.	2018/03/05	Answer Estimation System Using Random Question of Class Evaluation Items Based on A Hierarchical Item Bank (12th International Technology, Education and Development Conference)
5.	2018/02/21	Development of a Teaching Improvement Support System Using a Hierarchical Item Bank (2018 Research in Equity and Sustained Participation in Engineering, Computing, and Technology)
6.	2016/12/08	Item Bank to Estimate the Answers of Class Evaluation Questionnaire (2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering)
7.	2016/05/11	Study on the relationship between class evaluations and consistency in remarks, based on similarity of university teacher's remarks and term definitions (The 5th International Congress on Engineering and Information)
8.	2016/03/09	A Review of Lecture Class Evaluation Items in Japanese Universities (The 10th annual International Technology, Education and Development Conference)
9.	2015/08/05	Proposal of an instructional design support system based on consensus among academic staff and students (Human Interface and the Management of Information, Information and Knowledge in Context, LNCS9173)
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