Predicting Factors that Influence Students’ Learning Outcomes Using Learning Analytics in Online Learning Environment

Predicting Factors that Influence Students’ Learning Outcomes Using Learning Analytics in Online Learning Environment

The application of online learning has increased significantly, recently. One of the key successes in online learning is student interactions. An active learning strategy would engage the students to interact with the course or to get involved in the learning process. The objective of this research...

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Bibliographic Details
Main Authors: Saida Ulfa, Izzul Fatawi
Format: Article
Language:English
Published: Kassel University Press 2021-01-01
Series:International Journal of Emerging Technologies in Learning (iJET)
Subjects:
concept mapping
learning analytics
learning outcomes
non-human interaction
student success in online learning
Online Access:https://online-journals.org/index.php/i-jet/article/view/16325
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spelling doaj-cd52615e977547b3be1786f856d06ddb2021-04-02T19:01:04ZengKassel University PressInternational Journal of Emerging Technologies in Learning (iJET)1863-03832021-01-01160141710.3991/ijet.v16i01.163257079Predicting Factors that Influence Students’ Learning Outcomes Using Learning Analytics in Online Learning EnvironmentSaida Ulfa0Izzul Fatawi1State University of Malang, IndonesiaIslamic Institute of Nurul Hakim, Lombok Barat, IndonesiaThe application of online learning has increased significantly, recently. One of the key successes in online learning is student interactions. An active learning strategy would engage the students to interact with the course or to get involved in the learning process. The objective of this research was to predict which one of the student activities that would improve the learning outcome of the students? All the activities are related to non-human interaction. One of the activities is concept mapping. All the students’ activities in online learning were stored in LMS and the data generated as a learning analytics. A linear regression method was used to analyze the data. This research confirmed that working on exercises by using concept mapping yields significant results in improving the learning outcome of students.https://online-journals.org/index.php/i-jet/article/view/16325concept mappinglearning analyticslearning outcomesnon-human interactionstudent success in online learning
collection DOAJ
language English
format Article
sources DOAJ
author Saida Ulfa
Izzul Fatawi
spellingShingle Saida Ulfa
Izzul Fatawi
Predicting Factors that Influence Students’ Learning Outcomes Using Learning Analytics in Online Learning Environment
International Journal of Emerging Technologies in Learning (iJET)
concept mapping
learning analytics
learning outcomes
non-human interaction
student success in online learning
author_facet Saida Ulfa
Izzul Fatawi
author_sort Saida Ulfa
title Predicting Factors that Influence Students’ Learning Outcomes Using Learning Analytics in Online Learning Environment
title_short Predicting Factors that Influence Students’ Learning Outcomes Using Learning Analytics in Online Learning Environment
title_full Predicting Factors that Influence Students’ Learning Outcomes Using Learning Analytics in Online Learning Environment
title_fullStr Predicting Factors that Influence Students’ Learning Outcomes Using Learning Analytics in Online Learning Environment
title_full_unstemmed Predicting Factors that Influence Students’ Learning Outcomes Using Learning Analytics in Online Learning Environment
title_sort predicting factors that influence students’ learning outcomes using learning analytics in online learning environment
publisher Kassel University Press
series International Journal of Emerging Technologies in Learning (iJET)
issn 1863-0383
publishDate 2021-01-01
description The application of online learning has increased significantly, recently. One of the key successes in online learning is student interactions. An active learning strategy would engage the students to interact with the course or to get involved in the learning process. The objective of this research was to predict which one of the student activities that would improve the learning outcome of the students? All the activities are related to non-human interaction. One of the activities is concept mapping. All the students’ activities in online learning were stored in LMS and the data generated as a learning analytics. A linear regression method was used to analyze the data. This research confirmed that working on exercises by using concept mapping yields significant results in improving the learning outcome of students.
topic concept mapping
learning analytics
learning outcomes
non-human interaction
student success in online learning
url https://online-journals.org/index.php/i-jet/article/view/16325
work_keys_str_mv AT saidaulfa predictingfactorsthatinfluencestudentslearningoutcomesusinglearninganalyticsinonlinelearningenvironment
AT izzulfatawi predictingfactorsthatinfluencestudentslearningoutcomesusinglearninganalyticsinonlinelearningenvironment
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