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Article

Predicting Network Behavior Model of E-Learning Partner Program in PLS-SEM

1
College of Information and Distribution Science, National Taichung University of Science and Technology, Taichung 999079, Taiwan
2
Department of Information Management, Chaoyang University of Technology, Taichung 999079, Taiwan
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2020, 10(13), 4656; https://doi.org/10.3390/app10134656
Received: 17 June 2020 / Revised: 26 June 2020 / Accepted: 2 July 2020 / Published: 6 July 2020
(This article belongs to the Special Issue Emerging Artificial Intelligence (AI) Technologies for Learning)
The Ministry of Education of Taiwan conducted an e-learning partner program to offer life-accompaniment and subject teaching to elementary and secondary students through a network platform with cooperation from university undergraduates. The aim of the e-learning partner program was to improve the motivation and interest of the children after learning at school. However, the outcome of this program stated that the retention rate of the undergraduates was low over three semesters in the case universities. Therefore, the training cost for the program was wasted each semester, and it was necessary to solve the problem and improve the situation. The evaluation of self-efficacy directly affects a person’s motivation for the job. This research examined inner self-efficacy (teaching and counseling) and outer support (administration and equipment) that would contribute to and predict the success and the persistence of the e-learning partner program. There were 94 valid self-evaluation records in the 2019 academic year. ANOVA, post hoc, and partial least squares (PLS) analyses were conducted. The results showed that the year level, experience, and teacher education program background were significantly different in this study. The network behavior model was set up effectively to predict the retention from four scopes. A higher teaching self-efficacy would have better passion and innovation scores than the others. Using the suggestions for improvement, decreasing the gap between undergraduates’ expectations and promoting sustainability in the e-learning partner program can be achieved. View Full-Text
Keywords: e-learning partner program; partial least squares structural equation modeling; retention; self-efficacy; teacher education program e-learning partner program; partial least squares structural equation modeling; retention; self-efficacy; teacher education program
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MDPI and ACS Style

Hou, H.-Y.; Lo, Y.-L.; Lee, C.-F. Predicting Network Behavior Model of E-Learning Partner Program in PLS-SEM. Appl. Sci. 2020, 10, 4656. https://doi.org/10.3390/app10134656

AMA Style

Hou H-Y, Lo Y-L, Lee C-F. Predicting Network Behavior Model of E-Learning Partner Program in PLS-SEM. Applied Sciences. 2020; 10(13):4656. https://doi.org/10.3390/app10134656

Chicago/Turabian Style

Hou, Hsing-Yu, Yu-Lung Lo, and Chin-Feng Lee. 2020. "Predicting Network Behavior Model of E-Learning Partner Program in PLS-SEM" Applied Sciences 10, no. 13: 4656. https://doi.org/10.3390/app10134656

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