A Taxonomy of Improvement Factors for Online Learning Management Systems

Amir Hossein Ghapanchi; Afrooz Purarjomandlangrudi

A Taxonomy of Improvement Factors for Online Learning Management Systems

Amir Hossein Ghapanchi^*
, Afrooz Purarjomandlangrudi

^*Corresponding author for this work

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

Abstract

A Learning Management System (LMS) is a software application designed to provide educational content and to support student learning. This article investigated actions which can be employed to improve LMS through a qualitative study collecting data from 131 participants studying in one of Australian universities. A taxonomy of 8 main improvement areas were developed as a result of data analysis. These improvement areas include Training of staff and students, Improved Gradebook, Improved Lecture Recordings, Streamlined Login, Ensuring Working Links, Working Mobile Application, Frequent Updates, and Smart Notifications. Both practitioners and researchers can draw various implications from the outcomes of this study.

Original language	English
Title of host publication	Proceedings of the Information Systems Education Conference, ISECON 2023
Publisher	Foundation for Information Technology Education
Pages	1-7
Number of pages	7
Publication status	Published - Mar 2023
Externally published	Yes
Event	36th Information Systems Education Conference, ISECON 2023 - Marriott Dallas/Plano Hotel at Legacy Town Center , Plano, United States Duration: 31 Mar 2023 → 31 Mar 2023 https://isecon.org/

Conference

Conference	36th Information Systems Education Conference, ISECON 2023
Abbreviated title	ISECON 2023
Country/Territory	United States
City	Plano
Period	31/03/23 → 31/03/23
Internet address	https://isecon.org/

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title = "A Taxonomy of Improvement Factors for Online Learning Management Systems",

abstract = "A Learning Management System (LMS) is a software application designed to provide educational content and to support student learning. This article investigated actions which can be employed to improve LMS through a qualitative study collecting data from 131 participants studying in one of Australian universities. A taxonomy of 8 main improvement areas were developed as a result of data analysis. These improvement areas include Training of staff and students, Improved Gradebook, Improved Lecture Recordings, Streamlined Login, Ensuring Working Links, Working Mobile Application, Frequent Updates, and Smart Notifications. Both practitioners and researchers can draw various implications from the outcomes of this study. ",

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year = "2023",

month = mar,

language = "English",

pages = "1--7",

booktitle = "Proceedings of the Information Systems Education Conference, ISECON 2023",

publisher = "Foundation for Information Technology Education",

address = "United States",

note = "36th Information Systems Education Conference, ISECON 2023, ISECON 2023 ; Conference date: 31-03-2023 Through 31-03-2023",

url = "https://isecon.org/",

}

Ghapanchi, AH & Purarjomandlangrudi, A 2023, A Taxonomy of Improvement Factors for Online Learning Management Systems. in Proceedings of the Information Systems Education Conference, ISECON 2023. Foundation for Information Technology Education, pp. 1-7, 36th Information Systems Education Conference, ISECON 2023, Plano, Texas, United States, 31/03/23. <https://isecon.org/>

A Taxonomy of Improvement Factors for Online Learning Management Systems. / Ghapanchi, Amir Hossein; Purarjomandlangrudi, Afrooz.
Proceedings of the Information Systems Education Conference, ISECON 2023. Foundation for Information Technology Education, 2023. p. 1-7.

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

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AB - A Learning Management System (LMS) is a software application designed to provide educational content and to support student learning. This article investigated actions which can be employed to improve LMS through a qualitative study collecting data from 131 participants studying in one of Australian universities. A taxonomy of 8 main improvement areas were developed as a result of data analysis. These improvement areas include Training of staff and students, Improved Gradebook, Improved Lecture Recordings, Streamlined Login, Ensuring Working Links, Working Mobile Application, Frequent Updates, and Smart Notifications. Both practitioners and researchers can draw various implications from the outcomes of this study.

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BT - Proceedings of the Information Systems Education Conference, ISECON 2023

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Y2 - 31 March 2023 through 31 March 2023

ER -

A Taxonomy of Improvement Factors for Online Learning Management Systems

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