A questionnaire analysis by fuzzy reasoning for undergraduate students in mathematics lectures applying the Kano model

Satoru Takagi, Hiroaki Uesu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Mathematics lecturers at universities have to change their teaching materials and methods according to students' mathematical skills, and also have to make them understand mathematics. In this paper, we shall apply the questionnaire analysis in some undergraduate mathematics lectures for the method of students' needs analysis utilizing the Kano model, and report the results.

Original languageEnglish
Title of host publication2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages851-854
Number of pages4
ISBN (Print)9781479959556
DOIs
Publication statusPublished - 2014 Feb 18
Externally publishedYes
Event2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014 - Kitakyushu, Japan
Duration: 2014 Dec 32014 Dec 6

Other

Other2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014
CountryJapan
CityKitakyushu
Period14/12/314/12/6

Fingerprint

Students
Teaching

Keywords

  • fuzzy reasoning
  • Kano model
  • questionnaire analysis
  • students' needs

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

Cite this

Takagi, S., & Uesu, H. (2014). A questionnaire analysis by fuzzy reasoning for undergraduate students in mathematics lectures applying the Kano model. In 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014 (pp. 851-854). [7044903] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCIS-ISIS.2014.7044903

A questionnaire analysis by fuzzy reasoning for undergraduate students in mathematics lectures applying the Kano model. / Takagi, Satoru; Uesu, Hiroaki.

2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 851-854 7044903.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Takagi, S & Uesu, H 2014, A questionnaire analysis by fuzzy reasoning for undergraduate students in mathematics lectures applying the Kano model. in 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014., 7044903, Institute of Electrical and Electronics Engineers Inc., pp. 851-854, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014, Kitakyushu, Japan, 14/12/3. https://doi.org/10.1109/SCIS-ISIS.2014.7044903
Takagi S, Uesu H. A questionnaire analysis by fuzzy reasoning for undergraduate students in mathematics lectures applying the Kano model. In 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 851-854. 7044903 https://doi.org/10.1109/SCIS-ISIS.2014.7044903
Takagi, Satoru ; Uesu, Hiroaki. / A questionnaire analysis by fuzzy reasoning for undergraduate students in mathematics lectures applying the Kano model. 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 851-854
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