Rapid developments in educational technology in higher education are intended to make learning more engaging and effective. At the same time, cognitive load theory stresses limitations of human cognitive architecture and urges educational developers to design learning tools that optimise learners' mental capacities. In a 2-month study we…

Educational data mining has become an effective tool for exploring the hidden relationships in educational data and predicting students' academic achievements. This study proposes a new model based on machine learning algorithms to predict the final exam grades of undergraduate students, taking their midterm exam grades as the source data. The…

Previous attempts to explain teachers' educational effectiveness have mostly focused on personal traits, organizational commitment, pedagogical content knowledge or the passion for education, and so on. We want to highlight that social skills--competencies that enable teachers to interact effectively with others--might contribute to the teachers'…

Working memory training (WMT) for children has received great attention in recent scientific investigations. However, evidence on program efficacy is still sparse. This study aimed to investigate the effect of a WMT software program ("Programa de Ativação da Memória de Trabalho" [PRAMEMT]) in promoting gains on cognitive and school…

Several studies have investigated the need for learning difficulties identification specifically Dyslexia, Dysgraphia and Dyscalculia. The identification of these difficulties among children is a multiple screening process under psychologist's supervision. Learning difficulties identification is a difficult task; it affects the learning process…

Gifted underachievers perform worse in school than would be expected based on their high intelligence. Possible causes for underachievement are low motivational dispositions (need for cognition) and metacognitive competences. This study tested the interplay of these variables longitudinally with gifted and non-gifted students from Germany…

Automatic short answer grading is an important research direction in the exploration of how to use artificial intelligence (AI)-based tools to improve education. Current state-of-the-art approaches use neural language models to create vectorized representations of students responses, followed by classifiers to predict the score. However, these…

This study investigates the relationship between emotional intelligence and social anxiety levels of university students. The study data consisted of a total of 212 university students, 64% female (N=136) and 36% (N=76) male and data were collected from a state university in the west of Turkey. The relational model, one of the general models, was…

Working memory (WM) training has been proposed as a promising intervention to enhance cognitive abilities, but convincing evidence for transfer to untrained abilities is lacking. Prevalent limitations of WM training studies include the narrow assessment of both WM and cognitive abilities, the analysis of manifest variables subject to measurement…

Purpose: The objective of this study was to evaluate whether child musicians are better at listening to speech in noise (SPIN) than nonmusicians of the same age. In addition, we aimed to explore whether the musician SPIN advantage in children was related to general intelligence (IQ). Method: Fifty-one children aged 8.2-11.8 years and with…

Emotional intelligence is a determinant of individual success. However, today's emotional intelligence is fading. Early childhood is the foundation for the development of individual potential and intelligence. Thus, the urgency needs to be taken special action. The focus of this research is to improve the emotional intelligence of early childhood…

With the advent of big data and advances in technology, psychological assessments have become increasingly sophisticated and complex. Nevertheless, traditional psychometric issues concerning the validity, reliability, and measurement bias of such assessments remain fundamental in determining whether score inferences of human attributes are…

For Dewey, growth in the educative process means education that enriches and expands one's experience as it prepares students for not only a vocation but also entry into and transaction with the world. In few places can we see growth, generally understood, to be occurring as fast as in big data technology. This essay begins with an overview of…

Professional and lifelong learning are a necessity for workers. This is true both for re-skilling from disappearing jobs, as well as for staying current within a professional domain. AI-enabled scaffolding and just-in-time and situated learning in the workplace offer a new frontier for future impact of AIED. The hallmark of this community's work…

A society that uses drills and conditioning to train its machine learning models risks creating an alienated situation between human and machine in social life, as these teaching methods generate a lack of responsibility for the actions produced by such machines. Both John Dewey and Gilbert Simondon present conceptions and ideas that shed a…