The construct validity of the International Cognitive Ability Resource (ICAR) has yet to be investigated using a gold-standard individually administered intelligence battery. The present study used a convenience sample of 97 students to examine the respective relations between the ICAR16 and overall intelligence (g) and the Cattell-Horn-Carroll…

We investigated by means of a simulation study how well methods for factor rotation can identify a two-facet simple structure. Samples were generated from orthogonal and oblique two-facet population factor models with 4 (2 factors per facet) to 12 factors (6 factors per facet). Samples drawn from orthogonal populations were submitted to factor…

Having effective career planning attitudes is a significant psychological resource for dealing with occupational burdens, unanticipated conflicts, and ambivalences in business area. The major purpose of the study was to reveal whether Turkish undergraduates' career planning attitudes were shaped by their trait emotional intelligence, cognitive…

This assignment is integrated into the generative AI unit of the Emerging Communication Technologies course. It includes step-by-step designs and reflective examples from students, highlighting the evolution of their perceptions of generative AI. The assignment uniquely focuses on understanding and raising awareness of stereotypes present in…

The role of middle leaders in bringing about improvement in schools is well documented in the UK and abroad, with the ever-present demand for raising standards and achievement. At the same time, the benefits to individuals from receiving coaching or mentoring is also well documented. However, little is known about the benefit to those providing…

Objective: The purpose of this rapid review is to appraise the current evidence-base to inform the development of a new assessment and diagnostic pathway for ADHD presentations in a public health paediatric department in Brisbane. We posited that the standardised WISC-V administration in all ADHD presentations regardless of cognitive indication…

This report examines the burgeoning generative artificial intelligence (GenAI) and foundation models landscape within the European Union, and analyses its impact, technological advancements, and regulatory implications. It details the GenAI value chain, identifying key players and investment trends, revealing a significant US dominance. The report…

So much depends on online course participants' ability to communicate in ways so that others can perceive their personalities and know that they are "real people." However, the line between the "real" and the "artificial" has been blurred with the rise of generative AI and guidance is needed for integrating generative…

In recent years, when computational thinking (CT) has become increasingly important, utilizing machine learning (ML) techniques provides a revolutionary method for comprehending and improving cognitive skills for young students. However, few studies deepen the process of learning ML and CT. This exploratory study aims to investigate the impact of…

This exploratory case study examines how AI technologies, specifically a GPT-4-based synopsis chatbot, can serve as a sparring partner for doctoral students in Norway. Despite favourable conditions, only two-thirds of Norwegian PhD candidates complete their doctorates, partly due to challenges with article-based dissertations that require a…

This study aims to explore the implications of using AI-generative tools (tools for generative AI (GAI)) in teaching and learning practices in higher education settings. This exploratory study employs a mixed-methods approach. Data was collected through focus-group discussions, participants' reflections and questionnaires. The participants of this…

Emotion understanding (EU) is a socio-cognitive skill that enables us to understand the expression of emotions in ourselves and others. Exposure to early adversity hinders its development, since quality social interactions are essential for its growth. Language is a critical component of EU, and therefore, it may be a mediator between early…

The advent of Large Language Models (LLMs) has fundamentally disrupted our thinking about educational technology. Their ability to engage in natural dialogue, provide contextually relevant responses, and adapt to learner needs has led many to envision them as powerful tools for personalized learning. This emergence raises important questions about…

Avatars play a significant role in Artificial Intelligence (AI)-powered education, supported by various human-computer interactions and second language acquisition theories. AI avatars have become increasingly anthropomorphic and realistic with advancements in speech synthesis, speech-driven lip-syncing, and speech-to-facial animation. D-ID Studio…

Wildfires pose significant environmental threats in Australia, impacting ecosystems, human lives, and property. This review article provides a comprehensive analysis of various empirical and dynamic wildfire simulators alongside machine learning (ML) techniques employed for wildfire prediction in Australia. The study examines the effectiveness of…