Rapidly changing student expectations are driving a need for increasingly innovative technology systems in higher education. This quantitative research study evaluated the problem of understanding ways to effectively drive adoption of innovative technology within higher education. Emotional intelligence was researched and analyzed as a possible…

This research examines the factors that affect critical thinking disposition (CTD) in Malaysian university students using AI-based educational technologies. It analyzes the impact of AI literacy (AIL), perceived ease of use (PEOU), perceived usefulness (PU), and motivation (MO) through the lens of the Technology Acceptance Model (TAM) and…

This study examines Grammarly's utility as a writing assistant for enhancing higher education students' writing skills. University writing centers and classroom settings now incorporate Grammarly as a resource for writing assistance and there is a need to understand how students view its use and its link to help-seeking behavior. 476 university…

Guided by the Technology Acceptance Model, the researchers designed a Google Form survey to explore elementary preservice teachers' (PSTs') perceptions of using Generative AI (GenAI) as part of an authentic literacy methods course activity. Following the activity, responses to a qualitative survey were analyzed to learn about PSTs' experience of…

The goal is to promote the healthy and stable development of music education in China. The time-frequency sequence topology in frequency domain can improve the effect of convolution operation. Therefore, this paper applies the above algorithms to classical music education, including the recognition of classical instruments, the feature extraction…

Our research aims to examine the effectiveness of introducing social robots as educational technology within authentic classroom activities without modifying them to be designed for a robot. We chose as test subject the fifth-grade curricular topic "The role of technology and its impact on society", meeting the critical stage of moral…

This study explores the effects of pre-service teachers' digital literacy and self-efficacy on their perception of AI education for young children in early childhood education settings. Digital literacy refers to the ability to communicate with others by using digital technology, including the ability for sharing knowledge and information after…

Drawing on historical epistemology and considerations on the function of scientific modelling, this article investigates how in the mid-twentieth century electronic and programmable animal models became tools for exploring the inaccessible ontology of the human mind. The article examines how machines have informed our understanding of the learning…

Smart learning environments (SLE) provide students with opportunities to interact with learning resources and activities in ways that are customised to their particular learning goals and approaches. A challenge in developing SLEs is providing resources and tasks within a single system that can seamlessly tailor learning experience in terms of…

Large-scale international studies offer researchers a rich source of data to examine the relationship among variables. Machine learning embodies a range of flexible statistical procedures to identify key indicators of a response variable among a collection of hundreds or even thousands of potential predictor variables. Among these, penalized…

Reading requires appropriate strategies to spark initial interest and sustain engagement. One promising strategy is the pedagogical approach of learning-by-teaching, transforming learners into active participants. Integrating this approach into digitalized and individualized reading contexts has the potential to foster the development of young…

Remote practical activities have been demonstrated to be efficient when learners come to acquire inquiry skills. In computer science education, virtualization technologies are gaining popularity as this technological advance enables instructors to implement realistic practical learning activities, and learners to engage in authentic and…

This study examined the relationship between emotional intelligence (EI) and online teaching self-efficacy among 115 academic nurse educators who teach online (totally, blended, or both). The sample was randomly drawn from the list of nursing schools accredited by Commission on Collegiate Nursing Education (CCNE) with baccalaureate, master's…

The current study used a dyadic and coconstructive approach to examine how to embed exercises that support executive functioning into early literacy instruction to empower its effects. Using a randomized controlled trial design with 100 children, we examined the effects of dyadic activities in which children scaffolded each other's learning and…

Data mining is increasing its popularity in the research of Technology-Enhanced Language Learning and Applied Linguistics in general. It enables a better understanding of progress, performance and possible pitfalls, which would be useful for language learners, teachers and researchers. Until recently it was an unexplored field, but it is expected…