The acceptance of Fourth Industrial Revolution technology for teaching and learning during the pandemic lockdown suggests that a significant portion of educational interactions will shift online shortly. However, the suitability of this technology for inquiry-based learning requires further investigation. This study aimed to assess the…

This research examines the impact of online help-seeking strategies--both adaptive and peer-based--on promoting self-regulated and collaborative learning skills, as well as language learning outcomes, among Chinese EFL learners in computer-assisted language learning (CALL) environments. Employing a mixed-methods approach, the study triangulates…

In places where in-person applied behavior analysis (ABA) services are not available to those in need, distance approaches may be needed. However, in the Czech Republic and surrounding countries, ABA and telehealth practices are just emerging. Therefore, minimal systems are guiding ABA-based telehealth for children with autism and their…

This volume examines how young creators learn, create, and share their visual art online. Drawing from a robust set of case studies gathered locally, nationally, and internationally over three years with young adults 16-24, this work comes together as a crucial resource for understanding the evolving landscape of online art creation and…

Background: The COVID-19 pandemic significantly disrupted education globally, particularly in contexts like Libyan medical education, which traditionally relies on in-person classroom teaching. This study investigates the perceptions of medical students regarding online learning implemented during the pandemic. Methods: A cross-sectional study was…

In the post COVID-19 era, technology is now an integral part of the curriculum where in-classroom learning has been replaced by fully online and blended teaching. The rapid change to novel online learning environment, have left students exposed to the risks of techno stress. Given the dearth of studies on students, this research seeks to…

This article critically evaluates the effects of the ACU Virtual Mobility (VM) Project Digital Information Security Course (DISC) programme on improving students' awareness of cyber security skills, pre and post the educational intervention. Our selected VM tool is Collaborative Online International Learning (COIL). Building on a conceptual…

This study examines the determinants of science teachers' intentions to adopt augmented reality-based gamification through an integrated framework that merges the General Extended Technology Acceptance Model for E-Learning (GETAMEL) with Protection Motivation Theory. The research investigates how cognitive factors, including perceived usefulness…

This study aimed to compare the effects of project-based learning (PjBL) and online lessons on the learning achievement of Thai Grade 9 students in the topic of the Internet of Things (IoT), with conventional teaching included as a control group. The study utilized a quasi-experimental design, with three groups: PjBL, online lessons, and…

Background: While a substantial number of studies have investigated English-as-a-foreign-language (EFL/L2 English) anxiety, they predominantly examined it from a unidimensional perspective, overlooking the potential insights offered by examining language-skill-specific L2 anxiety from a multidimensional lens. Moreover, prior research has…

This cross-sectional study examined 177 Israeli parents of children with special needs (SEN). It focused on parental perceptions of how school closures impacted their children's internalising, externalising, and attention problems. These perceptions were evaluated using the Achenbach Assessment (ASEBA). Parents' views were gathered post-lockdown…

Due to the COVID-19 pandemic, teachers in Indonesia had to shift from an offline environment to an online mode, including their professional development activities. Numerous research studies on this topic have been conducted, but they have not focused on the future use of online teacher professional development (OTPD). In response, this article…

This study explores machine learning (ML) approaches for identifying gifted students by integrating academic and socioemotional characteristics from the data collected with the Having Opportunities Promotes Excellence teacher rating scale. By using the Gaussian Mixture Model (GMM) and ML approaches, including support vector machine (SVM) and…

It is very important to identify talented students as soon as they are admitted to college so that appropriate resources are provided and allocated to them to optimize and excel in their education. Currently, this process is labor-intensive and time-consuming, as it involves manual reviews of each student's academic record. This raises the…

Thai EFL teachers need English training, especially in pronunciation, which is essential for efficient communication. This mixed-methods study investigated the effects of differentiated pronunciation instruction via a virtual learning environment (DPV) on 28 primary-school Thai EFL teachers from different regions of Thailand. They voluntarily…