Generative artificial intelligence (AI) technologies, such as large language models (LLMs) and diffusion model image and video generators, can transform learning and teaching experiences by providing students and instructors with access to a vast amount of information and create innovative learning and teaching materials in a very efficient way…

Higher education has witnessed a rapid increase in conversations about how AI text generators will impact teaching and learning. To begin this conversation in the pages of JFD, we have curated initial perspectives here focused on how to approach faculty development as we enter another new era of higher education. [Note: The page range (3-8) shown…

The purpose of this study was to develop predictive models of student test-taking engagement in computerized formative assessments. Using different machine learning algorithms, the models utilize student data with item responses and response time to detect aberrant test behaviors such as rapid guessing. The dataset consisted of 7,602 students…

In many nations, grades and standardized test scores are used to select students for programs of scientific study. We suggest that the skills that these assessments measure are related to success in science, but only peripherally in comparison with two other skills, scientific creativity and recognition of scientific impact. In three studies, we…

With just one exception, all of the volumes in Terman's Genetic Studies of Genius report the results of a longitudinal study of more than a thousand intellectually gifted children. That single exception is Volume II, Cox's single-authored "The Early Mental Traits of Three Hundred Geniuses," which instead was a retrospective study of 301…

This research aims to analyze the effects of intelligence quotient, emotional quotient, spiritual quotient, and adversity quotient on the graduates quality of vocational higher education. Data were collected from 217 cadets at Surabaya Shipping Polytechnic who already took an internship as respondents using stratified cluster random technique.…

The present study examined the factor structure of the Differential Ability Scales--Second Edition (DAS-II) core subtests from the standardization sample via confirmatory factor analysis (CFA) using methods (bifactor modeling and variance partitioning) and procedures (robust model estimation due to nonnormal subtest score distributions)…

Many prominent intelligence tests (e.g., Wechsler Intelligence Scale for Children, Fifth Edition [WISC-V] and Reynolds Intellectual Abilities Scale, Second Edition [RIAS-2]) offer methods for computing subtest- and composite-level difference scores. This study uses data provided in the technical manual of the WISC-V and RIAS-2 to calculate…

In a world where technology is increasingly dominant, it is critical to understand how it affects students' brains and behavior--for better and for worse. This new edition from bestselling educational neuroscience author David Sousa offers research-based, practical solutions and serves as a framework for educators who want to effectively leverage…

Alexithymia has an important effect on learning burnout; however, the underlying mechanism of this relation remains unclear. This study aims to examine why alexithymia is related to increased learning burnout. Here, we investigated associations between alexithymia and learning burnout, as well as the potential mediating role of self-compassion in…

Children's speech is influenced by the speech they hear, in particular by the parental speech addressed directly to them. The aim of this study was to analyse toddlers' speech with their parents and to investigate the influence of specific characteristics of child-directed speech on child speech in real time during mother-child and father-child…

This paper presents a study on the impact of ChatGPT as a formative feedback tool on the writing skills of undergraduate ESL students. Since artificial intelligence-driven automated writing evaluation tools positively impact students' writing, ChatGPT, a generative artificial intelligence-propelled tool, can be expected to have a more substantial…

This study examines the narrative production of 12 trilingual children aged 8;7-11;10 in three languages: heritage Romanian as a first language, mainstream English as a second, and school French as a third. Narrative macrostructure was analyzed via the Narrative Structure Scheme, while microstructure was assessed via story length, lexical…

Learner diversity has been identified as a barrier to language learning and teaching. The purpose of this article was to conduct an analysis of the implementation of Multiple Intelligences (MI) theory in the field of English language teaching. MI theory, as introduced by Howard Gardner (1983), offers a new concept of intelligence, one that has led…

This article presents a case study and ideas to flip classical dialogic learning method. Some possibilities of using ChatGPT to stimulate the active role of the student in the dialogic teaching method are shown. Data from observations of students training to be teachers of mathematics and informatics in their work with artificial intelligence (AI)…