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…

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:…

Providing timely and personalized feedback on open-ended student responses is a challenge in education due to the increased workloads and time constraints educators face. While existing research has explored how learning analytic approaches can support feedback provision, previous studies have not sufficiently investigated educators' perspectives…

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…

With the emergence of short video and the development of mobile internet, short video software, such as TikTok and Kwai, has emerged. Based on the semantic understanding technology of teaching short videos, a teaching management platform was built to push healthy and positive short video for students' content in a targeted way. Taking the 21st…

Background: Technological innovations such as Learning Management Systems (LMS) are becoming more and more prevalent in the learning environments of students. Distilling and acting on knowledge gathered from these systems, the field known as learning analytics, allows educators to hone their craft and support students more effectively by providing…

In Spring 2020, there was a sudden shift from face-to-face (F2F) to distance learning (DL) due to the COVID-19 Pandemic. A study by Al-Jarf (2020) showed that 55% of the students and instructors preferred F2F instruction and were not satisfied with DL due to unfamiliarity, lack of training, interaction, technical problems and others. In the Fall…

In English for Specific Purposes (ESP) education, the synergy between autonomous learning, gamified Massive Open Online Course (MOOC) platforms, and self-directed learning (SDL) frameworks is underexplored. Despite recognizing autonomous learning's significance in language education, there is a lack of in-depth analysis of their interaction within…

In recent years, machine translation post-editing (MTPE or PE for short) has been steadily gaining ground in the language industry. However, studies that examine translators' perceptions of, and attitudes towards, MTPE paint a somewhat negative picture, with PE pricing methods and rates being a major source of dissatisfaction. While the European…

We investigated the utility of ChatGPT 3.5 in the creation of a fully online asynchronous higher education course. Our collaborative effort with ChatGPT resulted in developing a Master's level course on Trends and Issues in Instructional Design using the Backward Design Model. Throughout this process, we recognized the critical role of precise…

This research explores the perspectives of English as a Foreign Language (EFL) students about using Learning Management System (LMS)-based reading logs as a measure to encourage extensive reading in the digital age. An online questionnaire was administered to 125 third-year English majors at a public university in central Vietnam to examine their…

As online education grows, ensuring accessibility for diverse and marginalized learners has become increasingly critical. This study investigated faculty perceptions of Anthology Ally, a tool designed to enhance the accessibility of online course materials by identifying and resolving accessibility issues. Using survey data from 78 educators at…

The current study measures the extent to which students' self-regulated learning tactics and learning outcomes change as the result of a deliberate, data-driven improvement in the learning design of mastery-based online learning modules. In the original design, students were required to attempt the assessment once before being allowed to access…

The objective of this research is to develop and study the outcomes of developing the Ubiquitous Buddhism Learning Ecosystem for Proactive Buddhism Propagation for Digital Citizenship. The sample group used in the research consists of nine individuals selected through targeted sampling, comprising experts in the design and development of learning…

Understanding the factors that influence students' results in hybrid learning environments is becoming increasingly important in today's educational environment. The goal of this research is to examine factors that influence students' academic performance as well as their level of participation in blended learning environments. A comprehensive…