Parental involvement is essential to children's learning engagement activities and academic performance. Much research revolves around the impact of parental involvement on students' academic performance or the relationship between student engagement and grades. However, few studies have used process data to examine the relationship between…

Online assessment is one of the important factors in online learning today. An online summary assessment is an example of an open-ended question, offering the advantage of probing students' understanding of the learning materials. However, grading students' summary writings is challenging due to the time-consuming process of evaluating students'…

Despite the widespread implementation of learning analytics (LA)-based feedback systems, there exists a gap in empirical investigations regarding their influence on learning outcomes. Moreover, existing research primarily focuses on individual differences, such as self-regulation and motivation, overlooking the potential of feedback literacy (FL).…

Opportunities and concerns regarding the use of Massive Open Online Courses (MOOCs) in higher education have evolved along with them. A concern is how their use could support the higher-order learning appropriate for higher education. Grounded in the conversational framework, this case study explored how reflective practice could be fostered in a…

Mothers of the digital era, as their children's media educators, need to acquire media literacy skills more than ever. Despite the importance of media literacy training for mothers, there has been limited research in this field. Therefore, this study aimed to compare the effectiveness of Self- Paced Learning (SPL) and Community of Inquiry (CoI)…

Educational process mining aims (EPM) to help teachers understand the overall learning process of their students. Although deep learning models have shown promising results in many domains, the event log dataset in many online courses may not be large enough for deep learning models to approximate the probability distribution of students' learning…

Despite the high expectation of virtual learning environments (VLEs) to accelerate meaningful educational innovations for more interactive learning and teaching, resistance to changes exists, and innovations are fading over time. How to promote widespread and steady adoption of VLE enabled innovations remains an open question. This study uses…

The problem that was addressed through this study was that inconsistency in using a literacy development initiative resulted in no improvement of low literacy scores in April of 2022, as a total of 80.85% of high school students in one learning zone within a Georgia school district scored below literacy proficiency on the Georgia Milestones…

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…

Machine learning (ML) methods are among the most promising technologies with wide-ranging research opportunities, particularly in the field of education, where they can be used to enhance student learning outcomes. This study explores the potential of machine learning algorithms to build and train models using log data from the "3D…

Education is increasingly infiltrated by technology and datafication. This techno-data amplification is entangled with neoliberalism and the emphasis on calculation and measurement it brings, often through metrics. This article critically examines how metrics are shaping discipline practices in schools through ClassDojo, a popular platform for…

The use of videos in teaching has gained impetus in recent years, especially after the increased attention towards remote learning. Understanding students' video-related behaviour through learning (and video) analytics can offer instructors significant potential to intervene and enhance course designs. Previous studies explored students' video…

This paper provides an approach to providing QOE enhancement for a multifaceted learning platform that includes streamed media content. We demonstrate how the QOE of a multifaceted platform can be enhanced using the Lighthouse tool. The Lighthouse tool helped improve the page load speed by 75%. We also demonstrate how the playback quality of the…

Purpose: This study aims to explore students' perceptions of the use of an artificial intelligence-generated content avatar (AIGC avatar) within a learning management system (LMS). Design/methodology/approach: This qualitative research involved seven postgraduate students. Data were collected through individual, in-depth interviews. The videos of…

Through design and development research (DDR), we aimed to create a validated automatic question generation (AQG) system using large language models (LLMs) like ChatGPT, enhanced by prompting engineering techniques. While AQG has become increasingly integral to online learning for its efficiency in generating questions, issues such as inconsistent…