Video-enhanced activity schedule (VidAS) embeds a video model within a visual schedule, then links the images in the visual schedule to a video model clip, completing the step represented in each image. VidAS could leverage the strength of standard visual schedules and offer learners on the autism spectrum extra support to illustrate a sequence of…

Competent online learners have dexterity as they can manoeuvre a wide range of learning technologies and online learning strategies to learn successfully. In this study, we approach university students' online learning competence as 'online learning dexterity' or an ability to manage different aspects of online learning with appropriate…

Facing the urgent need for personalized and real-time interaction in music education, this study constructed an artificial intelligence-assisted interactive platform that offers targeted support in pitch recognition, rhythm training, and classroom feedback. Through function planning and algorithm optimization, it enables diversified…

This book aims to fully demonstrate the burnout of learners in online learning processes. The authors propose a series of feasible and reliable solutions to sufficiently obtain and analyze massive instances of online learning behavior. In order to flexibly perceive and intervene in the "burnout state" and improve online learning…

The application potential of the metaverse as an emerging technology in education has sparked widespread attention globally. A systematic review was conducted using the preferred reporting items for systematic reviews and meta-analyses method, which yielded 43 relevant articles from a total of 527 articles to examine the current status and the…

Opportunities and challenges in the integration of Artificial Intelligence (AI) in education require thorough exploration, particularly in the context of Open and Distance Learning (ODL). This study examines faculty members' perceptions of AI's role, opportunities, and the challenges faced in its implementation to develop policy recommendations.…

Background: The rehabilitation of people with cochlear implants (PwCI) who speak more than one language poses significant challenges to healthcare systems, particularly in countries experiencing global migration. This study investigates the potential of cognates (CO) to enhance speech and language therapy for PwCI with German as a second language.…

Background: Artificial intelligence (AI) can support more personalised learning in K-12 education, reshaping the educational experience for all students. However, little is known about how AI is being designed and implemented to support accessible and equitable learning experiences for all students, including those with disabilities and academic…

Research on artificial intelligence (AI) in higher education largely emphasises technical performance and outcomes, leaving student views of teacher interpersonal behaviours in AI-mediated classrooms insufficiently understood. In response, this study applied Q methodology, supported by content and sentiment analyses, to examine student…

As technology is gradually embedded in academic contexts, understanding the relational dynamics that sustain students' achievement in Technology-Enhanced Learning (TEL) settings has become critical. This study explores how teacher-student rapport (TSR) and teacher immediacy behaviours influence learners' engagement and well-being in TEL…

This study examines the perceptions and attitudes of higher education teachers towards using Massive Open Online Courses (MOOCs) for professional development and validates new scales within the Indian context. Data were collected from 76 teachers in colleges and universities in Jammu City using a structured questionnaire comprising two…

Purpose: Technology, such as artificial intelligence (AI), is transforming the way we work; however, it is yet to systemically transform learning at the workplace beyond augmentation of formal education's learning processes. This paper derives functional requirements for technologies that support workplace learning and assesses the suitability and…

Background: Large language models (LLMs) are increasingly deployed in educational contexts for content generation (Diwan et al., 2023), assessment (Ouyang et al., 2023), and tutoring support (Lin et al., 2023). Reasoning models represent an important development in LLM development (DeepSeek-AI et al., 2025; OpenAI et al., 2024), distinctively…

Modern electrical grids are becoming increasingly complex, requiring engineers who can adapt, justify their actions, and exercise sound professional judgment. Yet, many graduates struggle to demonstrate these expert traits despite strong academic performance. A key challenge in engineering education is locating where learners fall along the…

Recent meta-analyses indicate that learning with ChatGPT improves academic performance but reveals substantial heterogeneity in effect sizes. The present study sheds light on one theoretically plausible moderator of the benefits of learning with ChatGPT: the goal structure of the learning task. For this purpose, in an experiment, university…