NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Jamal Kay B. Rogers; Tamara Cher R. Mercado; Ronald S. Decano – Journal of Education and Learning (EduLearn), 2025
Poor academic performance remains among the most concerning educational issues, especially in higher education and online learning. To address the concern, institutions like the University of Southeastern Philippines (USeP) leverage educational data mining (EDM) techniques to generate relevant information from learning management systems (LMS)…
Descriptors: Foreign Countries, Learning Management Systems, Academic Achievement, Data Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
J. Bryan Osborne; Andrew S. I. D. Lang – Journal of Postsecondary Student Success, 2023
This paper describes a neural network model that can be used to detect at- risk students failing a particular course using only grade book data from a learning management system. By analyzing data extracted from the learning management system at the end of week 5, the model can predict with an accuracy of 88% whether the student will pass or fail…
Descriptors: Identification, At Risk Students, Learning Management Systems, Prediction
Peer reviewed Peer reviewed
Direct linkDirect link
Sonja Kleter; Uwe Matzat; Rianne Conijn – IEEE Transactions on Learning Technologies, 2024
Much of learning analytics research has focused on factors influencing model generalizability of predictive models for academic performance. The degree of model generalizability across courses may depend on aspects, such as the similarity of the course setup, course material, the student cohort, or the teacher. Which of these contextual factors…
Descriptors: Prediction, Models, Academic Achievement, Learning Analytics
Peer reviewed Peer reviewed
Direct linkDirect link
Na-Ra Nam; Sue-Yeon Song – Innovations in Education and Teaching International, 2025
This empirical study uses a random forest algorithm to examine the factors that influence learners' persistence in online learning at a prominent Korean institution. The data were collected from students who began their studies in Spring 2021, and encompassed a range of variables including individual attributes, academic engagement, academic…
Descriptors: Adult Students, Academic Persistence, Foreign Countries, Influences
Peer reviewed Peer reviewed
Direct linkDirect link
Dabas, Chitra S.; Muljana, Pauline S.; Luo, Tian – Technology, Knowledge and Learning, 2023
This study investigates factors that stimulate better academic performance for female students in learning quantitative topics, such as those involving mathematical-related tasks. We explore the differences in self-regulated learning (e.g., sources of motivation and execution of learning strategies), learning behaviors, and learning achievement of…
Descriptors: Females, Academic Achievement, Independent Study, Learning Strategies
Peer reviewed Peer reviewed
Direct linkDirect link
Alam, Md. I.; Malone, Lauren; Nadolny, Larysa; Brown, Michael; Cervato, Cinzia – Journal of Computer Assisted Learning, 2023
Background: The substantial growth in gamification research has connected gamified learning to enhanced engagement, improved performance, and greater motivation. Similar to gamification, personalized learning analytics dashboards can enhance student engagement. Objectives: This study explores the student experiences and academic achievements using…
Descriptors: Academic Achievement, Game Based Learning, Introductory Courses, STEM Education
Peer reviewed Peer reviewed
Direct linkDirect link
Doyle, Elaine; Buckley, Patrick – Interactive Learning Environments, 2022
While research and practice centred around students and academics working together to co-create in the higher level sector has increased, co-creation in assessment remains relatively rare in a higher education context. It is acknowledged in the literature that deeper comprehension of content can be realised when students author their own questions…
Descriptors: Multiple Choice Tests, Student Participation, Test Construction, Academic Achievement