Previous literature has suggested the existence of a close relationship between individuals' intellectual abilities and their cognitive profile, understood as their performance in tasks tapping into the different cognitive domains. This relationship has typically been discussed in populations characterized as having high intellectual abilities, as…

The recent surge in the popularity of Large Language Models (LLM) for language assessment underscores the growing significance of cost-effective language evaluation in our increasingly digitalized society. This paper posits that the application of computational psychometrics can enable the incorporation of technology into language assessment,…

The general objective to be achieved in this study is to determine the effect of using Blended Learning in terms of Intrapersonal Intelligence on Problem Solving Ability. This research is a quasi-experimental research with a two × three factorial design. Documentation, questionnaires, and tests were carried out the data collection method. The…

This research aimed to examine the views of preservice mathematics teachers (PMTs) on mathematically giftedness. Case study, one of the qualitative research design, was used and the study involved 25 sophomore mathematics teaching undergraduate students from Turkey. Data were collected with a semi-structured interview form with open-ended…

Generative AI (GenAI) refers to the production of entirely new creative works, such as text, pictures, music, or poetry, in response to simple prompts (Lanxon et al., 2023). Some view GenAI as a disruption to our education system, pointing to biases in the training data, concerns about misleading or inaccurate information, challenges to educators,…

This article reports on a case study from a larger project exploring ways in which online citizen science projects can enhance students' learning in science and in digital technology. In this case, two teachers integrated the digital technology curriculum with the science capability "interpreting representations" using the engaging…

New instructors often face feeling like an imposter. This article explains an innovative contributioncalled the Music-Coaching-Improv (M-C-I) Framework of 15 skills that includes the top five ways touse music, five key coaching skills, and five core improv skills. The M-C-I Framework was thefoundation for three improv exercises that were selected…

The purpose of this phenomenological study was to develop an understanding of how students' Emotional Intelligence (EQ) and Cultural Intelligence (CQ) influence their communication with teachers and peers. This investigation is rooted in Daniel Goleman's Theory of Emotional Intelligence and Christopher Earley's work on Cultural Intelligence.…

The introduction of machines driven by artificial intelligence (AI) and automation technologies has already had a significant impact on the manufacturing, automotive, logistics, retail, and wholesale industries, and the repercussions of their replacement on the human labour has been a hotly disputed subject. AI and automation technical…

This paper proposes a didactic design that is centered around an immersive, multilinear narrative in virtual reality as a means of illustrating human life on the edge of technological singularity. It explores the potential of narrative scenarios to trigger a discourse from users' perspective. Affective Computing is taken as a use case. It is a…

Recent research shows that deaf signers show increased behavioral and neural sensitivity to certain types of movement, such as biological motion, human actions, and signing avatars. However, other work suggests that in deaf signers exposed to signed language before age five, the mirror mechanism has minimal involvement during the perception of…

Teenagers today are coming of age under unprecedented, pervasive networks of institutional mass surveillance technologies. Surveillance technologies spreading in youth spaces are impacting young people's prospects today and are expected to continue in the future. Additionally, today's teenagers will be tomorrow's decision-makers, tasked with…

A neurological disorder, along with several behavioral issues, may be to blame for a child's subpar performance in the academic journey (such as anxiety, depression, learning disorders, and irritability). These symptoms can be used to diagnose children with ASD, and supervised machine learning models can help differentiate between ASD traits and…

It is essential to develop and research new teaching methods in the era of online education. In this regard, one of the promising methods could be the flipped classroom model built on artificial intelligence (AI). The study aimed to determine the impact of flipped classroom teaching using a stylus-driven intelligent learning system on students'…

Computational analysis methods and machine learning techniques introduce innovative ways to capture classroom interactions and display data on analytics dashboards. Automated classroom analytics employ advanced data analysis, providing educators with comprehensive insights into student participation, engagement, and behavioral trends within…