This study combines ChatGPT, Apple's Shortcuts, and LINE to create the ChatGPT-based Intelligent Learning Aid (CILA), aiming to enhance self-regulation progress and knowledge construction in blended learning. CILA offers real-time, convergent information to learners' inquiries, as opposed to traditional Google search engine that provide divergent…

This study proposes an online learning model based on fuzzy expert systems to recommend learning contents that are most appropriate for facilitating more efficient learning. The process used two computer applications which are Matlab for fuzzy analysis and the learning management system Moodle platform for online learning environment. Besides,…

Science, Technology, Engineering, and Mathematics (STEM) education is essential for developing future-ready learners in both secondary and higher education levels. However, as students transition to higher education, many encounter challenges with independent learning and research. This can negatively impact their Higher-Order Thinking Skills…

In online learning, students' learning behavior might change as the course progresses. How students adjust learning behaviors aligned with course requirements reflects their self-regulated learning strategies. Analyzing students' learning patterns can help instructors understand how the course design or activities shape students' learning…

This study implemented and evaluated the innovative use of a performance-based assessment platform to support the development of self-regulated learning (SRL) in senior primary students as they completed programming tasks. We embedded SRL support features into a performance-based assessment platform as scaffolding to help the students implement…

Robotics Education (RE) is viewed as a tool to narrow the gender gap in STEM fields, especially for promoting girls' learning. As an emerging and potential model in RE, Pair Learning (PL) is different from Individual Learning (IL), which is impacted by many factors. Among them, social factors need to be further explored. Therefore, this study…

With the spread of the COVID-19 pandemic, many universities adopted a hybrid learning model as a substitute for a traditional one. Predicting students' performance in hybrid environments is a complex task because it depends on extracting and analyzing different types of data: log data, self-reports, and face-to-face interactions. Students must…

Mobile-assisted language learning has emerged as a valuable tool for L2 pronunciation learning as it offers ample opportunities for learners to perform authentic learning activities anytime and anywhere. However, the extent to which mobile devices may facilitate or enhance L2 pronunciation has yet to be systematically investigated. To address the…

In this study, we analyzed usages behaviors of 53,825 active users from 12 countries in a mobile app called "English Practice." The data indicated that the app was used most often in the evening from 8 p.m. to 9 p.m., and especially midweek, with less use at weekends and on Mondays. Learners used the app for about 5 minutes each session…

In this article, we propose the concept of "Autonomic Cycle Of Learning Analysis Tasks" (ACOLAT), which defines a set of tasks of learning analysis, whose objective is to improve the learning process. The data analysis has become a fundamental area for the knowledge discovery from data extracted from different sources. In the autonomic…

One-to-one technology, which allows every student to receive equal access to learning tasks through a personal computing device, has shown increasing potential for self-directed learning in elementary schools. With computer-supported self-directed learning (CS-SDL), students may set their own learning goals through the suggestions of the system…

This study demonstrates how the technology used to assist formative assessment in spelling can have an impact on learning. Formative assessment represents a set of student-centered practices, the results of which are not always optimal. Furthermore, different technologies are better suited to certain tasks than to others. The study follows a…

Flipped Classroom (FC) has become an increasingly popular model in many disciplines in today's educational system. In order for the FC model to be effective, it is important for the student to have self-regulation skills. It is especially important that students have advanced self-regulatory skills so that the online learning process of the FC…

Existing research on choice of online learning utilized factors such as perceived level of control, independence, and satisfaction, yet the relationship among these factors is under-researched. Due to the value of "learning anytime," biological factors underlying "choice of time" might provide additional insights. This article…

This study examines the role of self-regulated learning (SRL) in facilitating students' shifts to more sophisticated mental models of the circulatory system as indicated by both performance and process data. We began with Winne and colleagues' information processing model of SRL (Winne, 2001; Winne & Hadwin, 1998) and used it to examine how…