An Analysis of Students Needs for Online Learning Classes Using Text Mining

Hwa Young Jeong

doi:10.1007/978-981-99-1428-9_12

An Analysis of Students Needs for Online Learning Classes Using Text Mining

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

Abstract

A learning form was changed a way from face-to-face to non-face-to-face by COVID-19 in the world. Students had to take classes through the Internet, and teachers had to record and provide learning contents like videos to students or perform remote learning using zoom. It means that students can choose the lectures they want or need because online learning methods can be support for various types, contents, and subjects. This research aims to analyze what students want or need to study for their classes. For this purpose, we conduct a survey and analyze it using text mining.

Original language	English
Title of host publication	Frontier Computing - Theory, Technologies and Applications FC 2022
Editors	Jason C. Hung, Jia-Wei Chang, Neil Y. Yen
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	101-104
Number of pages	4
ISBN (Print)	9789819914272
DOIs	https://doi.org/10.1007/978-981-99-1428-9_12
Publication status	Published - 2023
Event	12th International Conference on Frontier Computing, FC 2022 - Tokyo, Japan Duration: 12 Jul 2022 → 15 Jul 2022

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1031 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	12th International Conference on Frontier Computing, FC 2022
Country/Territory	Japan
City	Tokyo
Period	12/07/22 → 15/07/22

Bibliographical note

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

Keywords

Big Data
Online Learning Classes
Student’s needs
Text Mining

Access to Document

10.1007/978-981-99-1428-9_12

Cite this

Jeong, H. Y. (2023). An Analysis of Students Needs for Online Learning Classes Using Text Mining. In J. C. Hung, J.-W. Chang, & N. Y. Yen (Eds.), Frontier Computing - Theory, Technologies and Applications FC 2022 (pp. 101-104). (Lecture Notes in Electrical Engineering; Vol. 1031 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-1428-9_12

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title = "An Analysis of Students Needs for Online Learning Classes Using Text Mining",

abstract = "A learning form was changed a way from face-to-face to non-face-to-face by COVID-19 in the world. Students had to take classes through the Internet, and teachers had to record and provide learning contents like videos to students or perform remote learning using zoom. It means that students can choose the lectures they want or need because online learning methods can be support for various types, contents, and subjects. This research aims to analyze what students want or need to study for their classes. For this purpose, we conduct a survey and analyze it using text mining.",

keywords = "Big Data, Online Learning Classes, Student{\textquoteright}s needs, Text Mining",

author = "Jeong, {Hwa Young}",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 12th International Conference on Frontier Computing, FC 2022 ; Conference date: 12-07-2022 Through 15-07-2022",

year = "2023",

doi = "10.1007/978-981-99-1428-9_12",

language = "English",

isbn = "9789819914272",

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

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Jeong, HY 2023, An Analysis of Students Needs for Online Learning Classes Using Text Mining. in JC Hung, J-W Chang & NY Yen (eds), Frontier Computing - Theory, Technologies and Applications FC 2022. Lecture Notes in Electrical Engineering, vol. 1031 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 101-104, 12th International Conference on Frontier Computing, FC 2022, Tokyo, Japan, 12/07/22. https://doi.org/10.1007/978-981-99-1428-9_12

An Analysis of Students Needs for Online Learning Classes Using Text Mining. / Jeong, Hwa Young.
Frontier Computing - Theory, Technologies and Applications FC 2022. ed. / Jason C. Hung; Jia-Wei Chang; Neil Y. Yen. Springer Science and Business Media Deutschland GmbH, 2023. p. 101-104 (Lecture Notes in Electrical Engineering; Vol. 1031 LNEE).

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

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AB - A learning form was changed a way from face-to-face to non-face-to-face by COVID-19 in the world. Students had to take classes through the Internet, and teachers had to record and provide learning contents like videos to students or perform remote learning using zoom. It means that students can choose the lectures they want or need because online learning methods can be support for various types, contents, and subjects. This research aims to analyze what students want or need to study for their classes. For this purpose, we conduct a survey and analyze it using text mining.

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An Analysis of Students Needs for Online Learning Classes Using Text Mining

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