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Emine Cabi – Education and Information Technologies, 2025
Learning Management System (LMS) can track student interactions with digital learning resources during an online learning activity. Learners with different goals, motivations and preferences may exhibit different behaviours when accessing these materials. These different behaviours may further affect their learning performance. The purpose of this…
Descriptors: Academic Achievement, Electronic Learning, Learning Management Systems, Student Behavior
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
Gisu Sanem Öztas; Gökhan Akçapinar – Educational Technology & Society, 2025
This study aimed to develop a prediction model to classify students based on their academic procrastination tendencies, which were measured and classified as low and high using a self-report tool developed based on the students' assignment submission behaviours logged in the learning management system's database. The students' temporal learning…
Descriptors: Time Management, Student Behavior, Online Courses, Learning Management Systems
Yang Tian; Tak Jie Chan; Sharifah Sofiah Syed Zainudin; Farhana Muslim Mohd Jalis – Journal of Educators Online, 2025
This study aims to identify the mediating effect of collaborative learning on the relationship between Learning Management System (LMS) usage and academic performance among undergraduate students in a public university through the constructivism theory. The study employed a purposive sampling survey method, and 381 valid respondents were…
Descriptors: Learning Management Systems, Cooperative Learning, Academic Achievement, Undergraduate Students
Chrispus Zacharia Oroni; Fu Xianping – Education and Information Technologies, 2024
This study aims to investigate the role of digital learning platforms (DLP) as a mediator in the relationship between the social media capability (SMC) and academic performance (AP). It explores the individual impacts of SMC and DLP on academic performance. The study employs Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze…
Descriptors: Learning Management Systems, Social Media, Academic Achievement, Construct Validity
Juliana Irene Owen Thompson – ProQuest LLC, 2023
Aurelius School District used Curriculum Associates' i-Ready program, which was philosophically aligned to the science of reading and included i-Ready Diagnostic, i-Ready Instruction, and Teacher Toolbox, to improve Cole Middle School students' reading achievement. Because of the high monetary cost of i-Ready, the school district was considering…
Descriptors: Middle Schools, Learning Management Systems, Learning Analytics, Reading Achievement
Mustafa Enes Isikgöz – Turkish Online Journal of Educational Technology - TOJET, 2024
In online learning as a form of distance education, "Learning Management Systems (LMS)" have become one of the most dynamic forms of higher education today. LMS components play an important role in assessing both the quality of online educational offerings and student performance. The focus of this study is whether LMS activities…
Descriptors: Learning Management Systems, Academic Achievement, Electronic Learning, Foreign Countries
Meriem Zerkouk; Miloud Mihoubi; Belkacem Chikhaoui; Shengrui Wang – Education and Information Technologies, 2024
School dropout is a significant issue in distance learning, and early detection is crucial for addressing the problem. Our study aims to create a binary classification model that anticipates students' activity levels based on their current achievements and engagement on a Canadian Distance learning Platform. Predicting student dropout, a common…
Descriptors: Artificial Intelligence, Dropouts, Prediction, Distance Education
Roger Sheng So – ProQuest LLC, 2024
Understanding student engagement with the institution from the first day of classes to the end of the semester would help inform the institution of the potential risk that a student will drop out of a class or of the school. Learning Management Systems (LMS) record student interactions with the system and might be able to be used to identify…
Descriptors: Learning Management Systems, Data Use, At Risk Students, Learner Engagement
Melissa Fanshawe; Georgina Barton – Australasian Journal of Educational Technology, 2023
Doctoral studies can be daunting unless candidates are able to implement effective self-directed strategies and motivational tools to ensure success, which is reflected in the high attrition rates of doctoral candidates globally. This paper explores the use of a learning management system (LMS) to support the completion of a PhD for a doctoral…
Descriptors: Learning Management Systems, Independent Study, Doctoral Students, Educational Technology
Shabnam Ara, S. J.; Tanuja, R.; Manjula, S. H.; Venugopal, K. R. – Journal of Educational Technology Systems, 2023
Learning analytics (LA) is considered a promising field of study as it's helping to improve learning and the context in which it occurs. A learner's performance can be defined as how well students are learning in terms of knowledge and skills development and can be analyzed based on students' outcomes and engagement in the course. We have…
Descriptors: Learning Analytics, Learning Management Systems, Academic Achievement, Prediction
Anish Purkayastha; Elaine Huber – Higher Education Research and Development, 2024
There are multiple challenges associated with participating in a first-year undergraduate management unit at the university level. Students' performance in such units is a critical milestone in their learning journey and can create positive/negative inertia for their future performance and continuation in a program. Through exploratory abductive…
Descriptors: College Freshmen, Foreign Students, Business Administration Education, Academic Achievement
Rozita Tsoni; Georgia Garani; Vassilios S. Verykios – Interactive Learning Environments, 2024
New challenges in education demand effective solutions. Although Learning Analytics (LA), Educational Data Mining (EDM) and the use of Big Data are often presented as a panacea, there is a lot of ground to be covered in order for the EDM to answer the real questions of educators. An important step toward this goal is to implement holistic…
Descriptors: Data Use, Distance Education, Learning Analytics, Educational Research
Using Analytics to Predict Students' Interactions with Learning Management Systems in Online Courses
Ali Alshammari – Education and Information Technologies, 2024
In online education, it is widely recognized that interaction and engagement have an impact on students' academic performance. While previous research has extensively explored interactions between students, instructors, and content, there has been limited exploration of course design elements that promote the fourth type of interaction:…
Descriptors: Learning Analytics, Learning Management Systems, Academic Achievement, Correlation
Choi, Beomkyu – International Journal of Technology in Education, 2023
Examining how people learn in various learning environments is at the core of the science of learning. The more we understand how students learn from different dimensions and aspects, the better equipped we are to support their learning. This study aims to expand our understanding of how learning occurs within the context of an asynchronous online…
Descriptors: Student Participation, Student Satisfaction, Academic Achievement, Asynchronous Communication