2022
DOI: 10.5688/ajpe8594
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Use of Learning Management System Data to Predict Student Success in a Pharmacy Capstone Course

Abstract: Objective. Learning management system (LMS) data from online classes may provide opportunities to identify students at risk of failure. Previous LMS studies have not addressed the possibility of change in student engagement over time. The purpose of this study was to apply a novel statistical technique, group-based trajectory modeling (GBTM), to LMS data for an online course to identify predictors of successful course completion. Methods. Exploratory GBTM assessed the association of LMS activity (total activit… Show more

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Cited by 7 publications
(3 citation statements)
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“…Based on the development of the education industry and related technologies, the construction and experience optimization of an online design education knowledge service platform are achieved using a distributed SaaS model framework. Based on the analysis of typical users' needs in the online design education industry, relevant design goals and platform construction plan design process planning can be formulated for the design and improvement of the online design education knowledge service platform system [13][14].…”
Section: Lms System and Saas Technology Characteristicsmentioning
confidence: 99%
“…Based on the development of the education industry and related technologies, the construction and experience optimization of an online design education knowledge service platform are achieved using a distributed SaaS model framework. Based on the analysis of typical users' needs in the online design education industry, relevant design goals and platform construction plan design process planning can be formulated for the design and improvement of the online design education knowledge service platform system [13][14].…”
Section: Lms System and Saas Technology Characteristicsmentioning
confidence: 99%
“…GBTM has been implemented in empirical studies that investigate trajectory patterns in public health (e.g., Mody et al, 2019) and social science (e.g., Anderson, 2010) but with very few applications to education (e.g., Buckley et al, 2021;Shin et al, 2018). In one of the only studies that focuses on the adolescent population, Shin et al (2018) used data collected using the Science Motivation Questionnaire II from 255 male high school students over five semesters and applied GBTM to examine the longitudinal trajectories of Korean students' motivation to learn science based on five motivational constructs, namely, self-efficacy, intrinsic motivation, grade motivation, self-determination, and career motivation.…”
Section: The Development Trajectory Approach For Detecting Student He...mentioning
confidence: 99%
“…This analysis can provide in-depth insights into student needs and * Corresponding author: ana.tsalits@trunojoyo.ac.id preferences, enabling educational providers to tailor learning approaches more accurately. Furthermore, in the specific context of the field of study, research such as [5] explores how LMS data can be utilized to predict student success in specific courses.…”
Section: Introductionmentioning
confidence: 99%