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)…

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…

Intelligent tutoring systems are increasingly used in schools, providing teachers with valuable analytics on student learning. However, many teachers lack the time to review these reports in detail due to heavy workloads, and some face challenges with data literacy. This project investigates the use of large language models (LLMs) to generate…

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…

This study outlines how handwritten reflection cards lead to the retention of the Japanese kana alphabets. Handwriting is said to help improve retention of the Japanese alphabets. Currently, in-person classes provide most of the materials and assignments via the university's Learning Management System (LMS), and students have the choice to…

Procrastination, the irrational delay of tasks, is a common occurrence in online learning. Potential negative consequences include a higher risk of drop-outs, increased stress, and reduced mood. Due to the rise of learning management systems (LMS) and learning analytics (LA), indicators of such behavior can be detected, enabling predictions of…

This study explored learners' experience in an online problem-based learning (PBL) Moodle class. Additionally, an assessment of the PBL approach in enhancing collaborative learning was done to evaluate its effectiveness in eLearning. Lastly, the researchers make recommendations for an effective adoption of PBL in Moodle. To achieve this, an…

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…

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…

We analyze the thesis that a fully immersive gamified learning platform benefits students, improving their enjoyment, time management, and performance by engaging them with the subject matter. We assert that an immersive experience centered around a true game produces better results than exercises with just a few gamified elements (e.g., points,…

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…

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…

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…

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…

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…