Society can be obsessed with the concept of intelligence, according to the author. Parents want to know if their children are smart. Schools try to detect the intelligence of children so that they can separate them into "gifted and talented" programs on one end of the spectrum and remedial programs on the other. Employers want to know if…

Using a descriptive phenomenological method, this study examined the influence of emotional intelligence on the tenure of senior pastors in the Southern Baptist Convention (SBC). The aim of the study was to seek evidence from the lived experiences of senior pastors with five or more consecutive years of service to determine if high emotional…

Identifying gifted students early is important so they may receive adaptations in their learning environment including admittance into gifted programs (Subotnik, Olszweski-Kubilius, & Worrell, 2012). An effective method to increase the likelihood of identifying gifted students is needed (Pfeiffer, 2003). Admission at the elementary level…

Personalized learning environments requiring the elicitation of a student's knowledge state have inspired researchers to propose distinct models to understand that knowledge state. Recently, the spotlight has shone on comparisons between traditional, interpretable models such as Bayesian Knowledge Tracing (BKT) and complex, opaque neural network…

Given the increased numbers of students being served by disability services offices at the postsecondary level, a better understanding of how intelligence functions as a protective or risk factor is essential to inform services for adolescents in secondary education. Therefore, this study examined whether intelligence functions as a protective…

Professionals within the field of language learning have predicted that chatbots would provide new opportunities for the teaching and learning of language. Despite the assumed benefits of utilizing chatbots in language classrooms, such as providing interactional chances or helping to create an anxiety-free atmosphere, little is known about…

Research messages is a summary of research produced by NCVER each year. This year's compilation includes a range of research activities undertaken during 2023, comprising of research reports, summaries, occasional papers, presentations, webinars, consultancies, submissions, the 32nd 'No Frills' national research conference, and various additions…

This study introduced an app, called Smart UEnglish, for helping EFL conversation practices in authentic contexts. These conversation practices were categorized into 'designed talk' and 'free talk', based on the content of an English textbook and authentic ambient environment that includes such things as transportation, weather and scenic…

This study examined the integration of artificial intelligence-powered speech recognition technology within early reading assessments in Morocco's Teaching at the Right Level (TaRL) program. The purpose was to evaluate the effectiveness of an automated speech recognition tool compared to traditional paper-based assessments in improving reading…

There has been a surge in employing artificial intelligence (AI) in all areas of language pedagogy, not the least among them language testing and assessment. This study investigated the effects of AI-powered tools on English as a Foreign Language (EFL) learners' speaking skills, psychological well-being, autonomy, and academic buoyancy. Using a…

The use of learner modelling approaches is critical for providing adaptive support in educational computer games, with predictive learner modelling being among the key approaches. While adaptive supports have been shown to improve the effectiveness of educational games, improperly customized support can have negative effects on learning outcomes.…

Objective: ADHD is subject to stigma from the general population. Exposure to stigma poses the risk of developing self-stigma of youth and parents, but few studies have focused on self-stigma of ADHD. Furthermore, parental factors have been implicated in self-stigma of youth, but no previous research has assessed the association between…

Generative AI, particularly Language Models (LMs), has the potential to transform real-world domains with societal impact, particularly where access to experts is limited. For example, in education, training novice educators with expert guidance is important for effectiveness but expensive, creating significant barriers to improving education…

This article presents a case study of an online course that cross-pollinated Universal Design for Learning (UDL) and dialogic teaching to facilitate deep learning. Conceptualized through the UDL framework, dialogue and dialogic teaching, and deep learning, our analysis employs the methods of design-based research and thematic analysis to unpack…

Artificial intelligence (AI) has been recognised as a promising technology for methodological progress and theoretical advancement in learning sciences. However, there remains few empirical investigations into how AI could be applied in learning sciences research. This study aims to utilize AI facial recognition to inform the learning regulation…