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• W3009397753 abstract "This study examined the factors that influence students’ perceived course outcomes in e-learning using the Learning Management System (LMS), and the extent to which the factors significantly predict course outcomes. A total of 255 university students completed an online questionnaire measuring their responses to 5 constructs (lecturer support, interaction with peers, perceived ease of use, perceived usefulness and course outcomes). Data analysis was conducted using structural equation modelling. Results showed that perceived usefulness and interaction with peers were significant predictors of course outcomes, whereas perceived ease of use and lecturer support did not. However, perceived ease of use had an indirect relationship with course outcomes through perceived usefulness. Lecturer support also had an indirect relationship with course outcome through interactions with peers. Overall, the four antecedent variables contributed to 77.0% of the total variance in course outcomes. Based on the study findings, implications for educators and researchers are discussed. This study also looks at Moodle Engagement Analytics Plugin (MEAP), Moodle, an open source Learning Management System (LMS), collects a large amount of data on student interactions within it, including content, assessments, and communication. The enhanced MEAP (MEAP+) allows analyses of gradebook data, assessment submissions, login metrics, and forum interactions, as well as direct action through personalised emails to students based on these analyses." @default.
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• W3009397753 date "2018-11-01" @default.
• W3009397753 modified "2023-09-27" @default.
• W3009397753 title "Students’ perceived course outcomes in E-Learning (LMS)" @default.
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