Towards a model for online learning satisfaction (MOLS): re-considering non-linear relationships among personal innovativeness and modes of online interaction.

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Title: Towards a model for online learning satisfaction (MOLS): re-considering non-linear relationships among personal innovativeness and modes of online interaction.
Authors: Bervell, Brandford1,2 b.bervell@ucc.edu.gh, Umar, Irfan Naufal1, Kamilin, Muhammad Hafiz3
Source: Open Learning. Nov2020, Vol. 35 Issue 3, p236-259. 24p.
Subject Terms: *Learning management system, *Online education, *Teacher-student relationships, *Invitational education, Questionnaires
Abstract: Satisfaction with the use of Learning Management Systems (LMSs) to support online learning has been a concern for institutions. However, several factors such as personal innovativeness, student-material interaction, student-student interaction and student-teacher interaction have been suggested as enablers of satisfaction in online learning environments. What is missing in the literature is determining how these enablers intricately relate to each other in order to understand the effect of their non-linear interactions towards satisfaction in online learning. In view of this, questionnaire-based data was collected from 322 respondents selected through random cluster sampling. Statistical analysis was then conducted using Partial Least Squares Structural Equation Modelling (PLS-SEM). The results from the Model for Online Learning Satisfaction (MOLS) revealed that complex non-linear relationships exist among these variables, such that student-teacher interaction determines student-student interaction whereas personal innovativeness influences student-material interaction. Additionally, student-material interaction influences the extent to which student-teacher interactions as well as student-student interactions occur. The study suggested that all these factors are to be considered carefully and planned out, as they are somewhat interrelated in their effectiveness towards satisfaction in online learning. [ABSTRACT FROM AUTHOR]
Copyright of Open Learning is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Towards a model for online learning satisfaction (MOLS): re-considering non-linear relationships among personal innovativeness and modes of online interaction.
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  Data: <searchLink fieldCode="JN" term="%22Open+Learning%22">Open Learning</searchLink>. Nov2020, Vol. 35 Issue 3, p236-259. 24p.
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  Data: *<searchLink fieldCode="DE" term="%22Learning+management+system%22">Learning management system</searchLink><br />*<searchLink fieldCode="DE" term="%22Online+education%22">Online education</searchLink><br />*<searchLink fieldCode="DE" term="%22Teacher-student+relationships%22">Teacher-student relationships</searchLink><br />*<searchLink fieldCode="DE" term="%22Invitational+education%22">Invitational education</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink>
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  Data: Satisfaction with the use of Learning Management Systems (LMSs) to support online learning has been a concern for institutions. However, several factors such as personal innovativeness, student-material interaction, student-student interaction and student-teacher interaction have been suggested as enablers of satisfaction in online learning environments. What is missing in the literature is determining how these enablers intricately relate to each other in order to understand the effect of their non-linear interactions towards satisfaction in online learning. In view of this, questionnaire-based data was collected from 322 respondents selected through random cluster sampling. Statistical analysis was then conducted using Partial Least Squares Structural Equation Modelling (PLS-SEM). The results from the Model for Online Learning Satisfaction (MOLS) revealed that complex non-linear relationships exist among these variables, such that student-teacher interaction determines student-student interaction whereas personal innovativeness influences student-material interaction. Additionally, student-material interaction influences the extent to which student-teacher interactions as well as student-student interactions occur. The study suggested that all these factors are to be considered carefully and planned out, as they are somewhat interrelated in their effectiveness towards satisfaction in online learning. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Open Learning is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/02680513.2019.1662776
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        Text: English
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      – SubjectFull: Teacher-student relationships
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              M: 11
              Text: Nov2020
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