The Two Types of Module Access Patterns in LMS and Their Correlation with the Students' Evaluation

Nanang Yudi Setiawan; Diah Priharsari; Bondan Sapta Prakoso; Yusi Tyroni Mursityo

doi:10.1145/3626641.3626674

The Two Types of Module Access Patterns in LMS and Their Correlation with the Students' Evaluation

Nanang Yudi Setiawan
, Diah Priharsari
, Bondan Sapta Prakoso
, Yusi Tyroni Mursityo

Faculty of Computer Science

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

Abstract

The Learning Management System (LMS) is software specifically designed to create, distribute, and manage the delivery of educational content. Current studies have reported various findings on students' LMS activities and evaluations. However, less is known about how students access available modules in LMS and its relationships with their performance. Therefore, this study aimed to depict the module access patterns and their correlation with students' evaluation. We used data mining to group data of learning achievements into clusters. Each profile is traced through a process mining approach with a heuristic miner. This study has completed the extraction of 2447 trainee evaluations, grouped with K-Mean into 2 clusters with the highest Silhouette Coefficient value of 0.844. Based on the research, it was found that students who receive high grades tend to access a more complex module system compared to those who receive lower grades.

Original language	English
Title of host publication	SIET 2023 - Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology
Publisher	Association for Computing Machinery
Pages	332-339
Number of pages	8
ISBN (Electronic)	9798400708503
DOIs	https://doi.org/10.1145/3626641.3626674
Publication status	Published - 24 Oct 2023
Event	8th International Conference on Sustainable Information Engineering and Technology, SIET 2023 - Bali, Indonesia Duration: 24 Oct 2023 → 25 Oct 2023

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	8th International Conference on Sustainable Information Engineering and Technology, SIET 2023
Country/Territory	Indonesia
City	Bali
Period	24/10/23 → 25/10/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

Keywords

data mining
Learning Management System (LMS)
learning module
process mining
students' evaluation

Access to Document

10.1145/3626641.3626674

Cite this

Setiawan, N. Y., Priharsari, D., Prakoso, B. S., & Mursityo, Y. T. (2023). The Two Types of Module Access Patterns in LMS and Their Correlation with the Students' Evaluation. In SIET 2023 - Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology (pp. 332-339). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3626641.3626674

Setiawan, Nanang Yudi ; Priharsari, Diah ; Prakoso, Bondan Sapta et al. / The Two Types of Module Access Patterns in LMS and Their Correlation with the Students' Evaluation. SIET 2023 - Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology. Association for Computing Machinery, 2023. pp. 332-339 (ACM International Conference Proceeding Series).

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title = "The Two Types of Module Access Patterns in LMS and Their Correlation with the Students' Evaluation",

abstract = "The Learning Management System (LMS) is software specifically designed to create, distribute, and manage the delivery of educational content. Current studies have reported various findings on students' LMS activities and evaluations. However, less is known about how students access available modules in LMS and its relationships with their performance. Therefore, this study aimed to depict the module access patterns and their correlation with students' evaluation. We used data mining to group data of learning achievements into clusters. Each profile is traced through a process mining approach with a heuristic miner. This study has completed the extraction of 2447 trainee evaluations, grouped with K-Mean into 2 clusters with the highest Silhouette Coefficient value of 0.844. Based on the research, it was found that students who receive high grades tend to access a more complex module system compared to those who receive lower grades.",

keywords = "data mining, Learning Management System (LMS), learning module, process mining, students' evaluation",

author = "Setiawan, \{Nanang Yudi\} and Diah Priharsari and Prakoso, \{Bondan Sapta\} and Mursityo, \{Yusi Tyroni\}",

note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 8th International Conference on Sustainable Information Engineering and Technology, SIET 2023 ; Conference date: 24-10-2023 Through 25-10-2023",

year = "2023",

month = oct,

day = "24",

doi = "10.1145/3626641.3626674",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "332--339",

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Setiawan, NY, Priharsari, D, Prakoso, BS & Mursityo, YT 2023, The Two Types of Module Access Patterns in LMS and Their Correlation with the Students' Evaluation. in SIET 2023 - Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 332-339, 8th International Conference on Sustainable Information Engineering and Technology, SIET 2023, Bali, Indonesia, 24/10/23. https://doi.org/10.1145/3626641.3626674

The Two Types of Module Access Patterns in LMS and Their Correlation with the Students' Evaluation. / Setiawan, Nanang Yudi; Priharsari, Diah; Prakoso, Bondan Sapta et al.
SIET 2023 - Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology. Association for Computing Machinery, 2023. p. 332-339 (ACM International Conference Proceeding Series).

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

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T1 - The Two Types of Module Access Patterns in LMS and Their Correlation with the Students' Evaluation

AU - Setiawan, Nanang Yudi

AU - Priharsari, Diah

AU - Prakoso, Bondan Sapta

AU - Mursityo, Yusi Tyroni

PY - 2023/10/24

Y1 - 2023/10/24

N2 - The Learning Management System (LMS) is software specifically designed to create, distribute, and manage the delivery of educational content. Current studies have reported various findings on students' LMS activities and evaluations. However, less is known about how students access available modules in LMS and its relationships with their performance. Therefore, this study aimed to depict the module access patterns and their correlation with students' evaluation. We used data mining to group data of learning achievements into clusters. Each profile is traced through a process mining approach with a heuristic miner. This study has completed the extraction of 2447 trainee evaluations, grouped with K-Mean into 2 clusters with the highest Silhouette Coefficient value of 0.844. Based on the research, it was found that students who receive high grades tend to access a more complex module system compared to those who receive lower grades.

AB - The Learning Management System (LMS) is software specifically designed to create, distribute, and manage the delivery of educational content. Current studies have reported various findings on students' LMS activities and evaluations. However, less is known about how students access available modules in LMS and its relationships with their performance. Therefore, this study aimed to depict the module access patterns and their correlation with students' evaluation. We used data mining to group data of learning achievements into clusters. Each profile is traced through a process mining approach with a heuristic miner. This study has completed the extraction of 2447 trainee evaluations, grouped with K-Mean into 2 clusters with the highest Silhouette Coefficient value of 0.844. Based on the research, it was found that students who receive high grades tend to access a more complex module system compared to those who receive lower grades.

KW - data mining

KW - Learning Management System (LMS)

KW - learning module

KW - process mining

KW - students' evaluation

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Setiawan NY, Priharsari D, Prakoso BS, Mursityo YT. The Two Types of Module Access Patterns in LMS and Their Correlation with the Students' Evaluation. In SIET 2023 - Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology. Association for Computing Machinery. 2023. p. 332-339. (ACM International Conference Proceeding Series). doi: 10.1145/3626641.3626674

The Two Types of Module Access Patterns in LMS and Their Correlation with the Students' Evaluation

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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