A Big Data Based Learning Model from Student Questionnaire

Hwa Young Jeong

doi:10.1007/978-981-99-2092-1_2

A Big Data Based Learning Model from Student Questionnaire

Hwa Young Jeong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The results of analyzing students’ requirements become very important data for teachers. Because it is a very important criterion for improving learning satisfaction while increasing students’ learning effects. In this paper, students’ requirements are analyzed and what subjects or contents students want are investigated. The purpose of this paper is to construct a learning model that reflects the needs of students.

Original language	English
Title of host publication	Innovative Computing Vol 1 - Emerging Topics in Artificial Intelligence - Proceedings of IC 2023
Editors	Jason C. Hung, Jia-Wei Chang, Yan Pei
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	10-16
Number of pages	7
ISBN (Print)	9789819920914
DOIs	https://doi.org/10.1007/978-981-99-2092-1_2
Publication status	Published - 2023
Event	6th International Conference on Innovative Computing, IC 2023 - Hawaii, United States Duration: 9 Jan 2023 → 12 Jan 2023

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1044 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	6th International Conference on Innovative Computing, IC 2023
Country/Territory	United States
City	Hawaii
Period	9/01/23 → 12/01/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

Big Data
Learning Model
Student’s Needs
Word Cloud

Access to Document

10.1007/978-981-99-2092-1_2

Cite this

Jeong, H. Y. (2023). A Big Data Based Learning Model from Student Questionnaire. In J. C. Hung, J.-W. Chang, & Y. Pei (Eds.), Innovative Computing Vol 1 - Emerging Topics in Artificial Intelligence - Proceedings of IC 2023 (pp. 10-16). (Lecture Notes in Electrical Engineering; Vol. 1044 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-2092-1_2

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title = "A Big Data Based Learning Model from Student Questionnaire",

abstract = "The results of analyzing students{\textquoteright} requirements become very important data for teachers. Because it is a very important criterion for improving learning satisfaction while increasing students{\textquoteright} learning effects. In this paper, students{\textquoteright} requirements are analyzed and what subjects or contents students want are investigated. The purpose of this paper is to construct a learning model that reflects the needs of students.",

keywords = "Big Data, Learning Model, Student{\textquoteright}s Needs, Word Cloud",

author = "Jeong, \{Hwa Young\}",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 6th International Conference on Innovative Computing, IC 2023 ; Conference date: 09-01-2023 Through 12-01-2023",

year = "2023",

doi = "10.1007/978-981-99-2092-1\_2",

language = "English",

isbn = "9789819920914",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "10--16",

editor = "Hung, \{Jason C.\} and Jia-Wei Chang and Yan Pei",

booktitle = "Innovative Computing Vol 1 - Emerging Topics in Artificial Intelligence - Proceedings of IC 2023",

address = "Germany",

}

Jeong, HY 2023, A Big Data Based Learning Model from Student Questionnaire. in JC Hung, J-W Chang & Y Pei (eds), Innovative Computing Vol 1 - Emerging Topics in Artificial Intelligence - Proceedings of IC 2023. Lecture Notes in Electrical Engineering, vol. 1044 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 10-16, 6th International Conference on Innovative Computing, IC 2023, Hawaii, United States, 9/01/23. https://doi.org/10.1007/978-981-99-2092-1_2

A Big Data Based Learning Model from Student Questionnaire. / Jeong, Hwa Young.
Innovative Computing Vol 1 - Emerging Topics in Artificial Intelligence - Proceedings of IC 2023. ed. / Jason C. Hung; Jia-Wei Chang; Yan Pei. Springer Science and Business Media Deutschland GmbH, 2023. p. 10-16 (Lecture Notes in Electrical Engineering; Vol. 1044 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - The results of analyzing students’ requirements become very important data for teachers. Because it is a very important criterion for improving learning satisfaction while increasing students’ learning effects. In this paper, students’ requirements are analyzed and what subjects or contents students want are investigated. The purpose of this paper is to construct a learning model that reflects the needs of students.

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A Big Data Based Learning Model from Student Questionnaire

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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