This paper reflected on the traditional lecture teaching method and proposed an alternative English translation teaching method based on 3D computer vision technology to increase student interest in translation, improve students' translation ability, and compensate for the shortcomings of traditional translation teaching methods. Through…

This study aims to provide a descriptive and bibliometric analysis of the trend of artificial intelligence (AI) application in the development of computational thinking (CT) skills in publications from 2007 to 2024. A total of 191 articles were obtained from Scopus database with certain keywords, and analyzed using Biblioshiny and VOSviewer. The…

This paper presents a comprehensive framework for AI-enhanced curriculum development in rare earth elements (REE) education, addressing critical workforce gaps across K-12, higher education, and veteran transition programs. As global demand for critical minerals escalates amid geopolitical tensions and supply chain vulnerabilities, we propose an…

With growing expectations to use AI-based educational technology (AI-EdTech) to improve students' learning outcomes and enrich teaching practice, teachers play a central role in the adoption of AI-EdTech in classrooms. Teachers' willingness to accept vulnerability by integrating technology into their everyday teaching practice, that is, their…

The integration of Artificial Intelligence (AI) into English as a Foreign Language (EFL) instruction presents new opportunities and challenges. While research often focuses on student outcomes, teacher self-efficacy with these tools, particularly across different educational levels, remains underexplored. Addressing this gap, this study…

We examined the response to a phonics through spelling intervention for children with developmental dyslexia in word and pseudoword reading efficiency and word spelling. Furthermore, we investigated to what extent the response to the intervention is robust across different cognitive profiles (phonological awareness, rapid automatized naming, and…

Traditional content-based assessment systems, which depend on the score as a key criterion for students' evaluation, have proven to have many drawbacks, especially with the development of learning methods in recent years. Based on these developments, there is a need to adopt new assessment methods to assess the actual skills of students in the…

Motor challenges are commonly reported in autism spectrum disorder (ASD). Yet, there is substantial heterogeneity in motor ability within ASD, and it is unknown what behavioral characteristics best explain individual differences in motor ability in ASD and related conditions. This observational study examined motor ability as a function of sensory…

Purpose: This research explores the training experiences of Australian apprentices in the workplace with a focus on workplace relationships and their link to interpersonal attributes and people-related generic skills among apprentices. Design/methodology/approach: Qualitative research is conducted, and the authors analysed interview data from 20…

Although most researchers have argued that a leader's emotional intelligence (EI) capability positively influences organizational learning (OL), this relationship has only been studied at the surface level. Consequently, there is no clear explanation of how leaders facilitate various processes of learning at the individual, team, and…

Individual differences in understanding other people's emotions have typically been studied with recognition tests using prototypical emotional expressions. These tests have been criticized for the use of posed, prototypical displays, raising the question of whether such tests tell us anything about the ability to understand spontaneous,…

The study examined the (1) interrelation of cognitive-athletic performance concerning game time and (2) injuries; (3) relation between executive functions and game intelligence. A total of 172 elite soccer players (age: 12-34 years) performed tests assessing multiple-object-tracking, working memory capacity (WMC), cognitive flexibility (CF), and…

Predicting students' learning outcomes is one of the main topics of interest in the area of Educational Data Mining and Learning Analytics. To this end, a plethora of machine learning methods has been successfully applied for solving a variety of predictive problems. However, it is of utmost importance for both educators and data scientists to…

Technical and professional communication (TPC) and user experience (UX) design are often seen as intertwined due to being user-centered. Yet, as widening industry positions combine TPC and UX, new streams enrich our understanding. This article looks at three such streams, namely, design thinking, content strategy, and artificial intelligence to…

The study tested the hypotheses that boys will have an advantage learning the fractions number line and this advantage will be mediated by spatial abilities. Fractions number line and, as a contrast, fractions arithmetic performance were assessed for 342 adolescents, as was their intelligence, working memory, and various spatial abilities. Boys…