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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
Lili Aunimo; Janne Kauttonen; Marko Vahtola; Salla Huttunen – Journal of Computing in Higher Education, 2025
Institutions of higher education possess large amounts of learning-related data in their student registers and learning management systems (LMS). This data can be mined to gain insights into study paths, study styles and possible bottlenecks on the study paths. In this study, we focused on creating a predictive model for study completion time…
Descriptors: Data Collection, Learning Management Systems, Study Habits, Time on Task
Anuradha Peramunugamage; Uditha W. Ratnayake; Shironica P. Karunanayaka; Ellen Francine Barbosa; William Simão de Deus; Chulantha L. Jayawardena; R. K. J. de Silva – Journal of Learning for Development, 2025
Interactions among students in online learning environments are difficult to monitor but can be crucial for their academic performance. Moodle is one of the best and most popular online learning platforms, where its log records can reveal important information on students' engagement and the respective performance. This study examines the degree…
Descriptors: Cooperative Learning, Interaction, Electronic Learning, Learning Management Systems
Savannah Lopez; Allison Pham; Jeremy L. Hsu; Patricia A. Halpin – Advances in Physiology Education, 2024
The syllabus is a required document for all courses to provide students with course information, policies, and assignment deadlines. The goals of this study were to investigate students' perception of the role of the syllabus, preferred location of assignment deadlines, and preferred style of receiving deadline notifications. Faculty (n = 14) and…
Descriptors: Course Descriptions, Learning Management Systems, Student Attitudes, Assignments
Lim, Kieran Fergus – Physics Education, 2022
Undergraduate first-year courses are often mandatory for students in a variety of majors and degrees. Many students view these core courses as of little interest and relevance, which is associated with lack of motivation for study and can lead to cheating. Contract cheating in text-based is difficult to detect and prove. Contract cheating in…
Descriptors: College Freshmen, Contracts, Cheating, Assignments
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
Morgan M. Bryant; Jen Riley – Marketing Education Review, 2024
Student engagement is a growing challenge within higher education, especially as technology continues to evolve and competition for attention rises. As a business discipline, many marketing students struggle to connect with the theory presented in the classroom and seek interactive, experiential learning opportunities. The authors created the…
Descriptors: Learner Engagement, Marketing, Music, Learning Activities
Mills, Michael S.; Watson, Jessica Herring; Miller, Rachelle; Morrison, Mia – SRATE Journal, 2022
The focus of this research was measuring the effect of Twitter use in the classroom on students' acceptance of technology using the TAM-3 model. This mixed methods study revealed a significant effect from students' use of Twitter in classroom assignments not only on increasing candidates' view of Twitter as being useful, easy to use, and relevant…
Descriptors: Social Media, Technology Uses in Education, Telecommunications, Handheld Devices
Raymond Papp – Research in Higher Education Journal, 2025
While eLearning digital homework platforms have been around for several years, it was only during the COVID pandemic that they moved to the mainstream as face-to-face teaching was replaced by hybrid and even fully online course delivery. Teachers have used the eLearning platforms to reach students remotely yet there has been little research on…
Descriptors: Business Education, Statistics Education, Online Courses, Learning Management Systems
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
Irene Torres-Arends; Michele Jacobsen – Journal of International Students, 2024
This study explores the learning needs of international students at a Canadian private university. Through a qualitative content analysis of 580 students' emails, we identified and examined 819 requests and complaints The analysis highlighted trends about due dates, assignment resubmissions, regrading, and plagiarism issues, leading to the…
Descriptors: Foreign Countries, Foreign Students, Student Needs, Private Colleges
Gulsah Basol – European Journal of Education (EJED), 2024
The purpose of the study is to present the Beehive Interactive Learning Model (BILM) and to provide an example of its application in an undergraduate statistics course. The model is developed by the researcher, who is a professor in Educational Measurement and Evaluation area in Turkey with over 15 years of teaching experience. The model is based…
Descriptors: Teaching Methods, Statistics Education, Active Learning, Undergraduate Students
M. V. Lubarda; A. M. Phan; C. Schurgers; N. Delson; M. Ghazinejad; S. Baghdadchi; M. Minnes; M. Kim; C. Pilegard; J. Relaford-Doyle; C. L. Sandoval; H. Qi – Computer Science Education, 2025
Background and context: Pair programming and oral exams were deployed in tandem in a remote undergraduate computer programming course to promote social interaction and enhance learning. Objectives: We investigate their impact on social interactions, sense of connection, academic performance, and academic integrity within a virtual learning…
Descriptors: Distance Education, Undergraduate Students, Integrity, Computer Science Education
Muhammad Haseeb Ul Hassan; Zafar Iqbal – Turkish Online Journal of Distance Education, 2024
The study was planned to explore the challenges faced by distance learners during paperless assignment process. This initiative was introduced a couple of years ago at a distance learning university in Pakistan. Target population comprised on distance learners of M. Phil Education and MBA (col) sessions 2017 to 2019 programs running online through…
Descriptors: Barriers, Distance Education, Electronic Learning, Assignments
Watcharee Sangboonraung; Srisuda Daungtod; Prachyanun Nilsook; Jira Jitsupa; Venus Skunhom; Navarat Techachokwiwat – Journal of Education and Learning, 2024
The purposes of research were to comparison of digital technology used for the instructional management during the COVID-19 pandemic during the New Normal period and the endemic COVID-19 during Next Normal period adopted by pre-service teachers; and to develop the landscape of digital technology used for instructional management during the New…
Descriptors: Foreign Countries, Preservice Teachers, Preservice Teacher Education, Educational Technology
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