This cross-sectional study explores how generative artificial intelligence (GenAI) tools influence English-as-a-foreign-language (EFL) writing among third-year secondary students in Algeria. Using a sample of 105 students and their teacher, the research combined classroom observations, a semi-structured interview and a questionnaire to assess…

While there is much in teacher education which examines the perceptions of preservice teacher to the recent introduction of ChatGPT. This study examines preservice teachers' appraisals of ChatGPT-produced text. Using a quasi-experimental within-­subject design with 30 participants, Chi-Square tests examined appraisals under three conditions.…

This study examines the integration of ChatGPT into English language learning by exploring students' experiences of using ChatGPT during the writing process. Adopting a convergent mixed-method design, the research involved students enrolled in the "ICT for ELT" course at a university in West Kalimantan, Indonesia, and applied the…

The incremental validity of specific cognitive abilities beyond general intelligence has been investigated in studies using hierarchical multiple regression analyzes (HMR). In the present study, we investigated whether the incremental validity of specific cognitive abilities (i.e., verbal, figural, and numerical ability) for the explanation of…

The aim of this study is to determine the dominant intelligence modality of university students who receive sports education and to examine intelligence modality in terms of various variables. The survey model was chosen for the model of the study. 251 students voluntarily participated in the study. A 6-question Personal Information Form was used…

The last series of Raven's standard progressive matrices (SPM-LS) test was studied with respect to its psychometric properties in a series of recent papers. In this paper, the SPM-LS dataset is analyzed with regularized latent class models (RLCMs). For dichotomous item response data, an alternative estimation approach based on fused regularization…

In this meta-study, we analyzed 2442 effect sizes from 131 meta-analyses in intelligence research, published from 1984 to 2014, to estimate the average effect size, median power, and evidence for bias. We found that the average effect size in intelligence research was a Pearson's correlation of 0.26, and the median sample size was 60. Furthermore,…

The purpose of this study is to identify the determinant role of emotional intelligence sub-dimensions (evaluation of others' emotions, evaluation of one's own emotions, regulation of emotions, social skills, use of emotions) in determining the self-efficacy levels of athletes. In addition, emotional intelligence, and self-efficacy levels of the…

Children's math learning (N = 217; M[subscript age] = 4.87 years; 63% European American, 96% college-educated families) from an intelligent character game was examined via social meaningfulness (parasocial relationships [PSRs]) and social contingency (parasocial interactions, e.g., math talk). In three studies (data collected in the DC area:…

Artificial Intelligence (AI) is attracting a great deal of attention and it is important to investigate the public perceptions of AI and their impact on the perceived credibility of research evidence. In the literature, there is evidence that people overweight research evidence when framed in neuroscience findings. In this paper, we present the…

Designing intelligent services for workplace learning presents a special challenge for researchers and developers of learning technology. One of the reasons is that considering learning as a situated and social practice is nowhere so important than in the case where learning is tightly integrated with workplace practices. The current paper…

In Aristotelian virtue theories, "phronesis" is foundational to being good, but to date accounts of how this particularly important virtue can emerge are sketchy. This article plumbs recent thinking in Aristotelian virtue ethics and developmental theorizing to explore how far its emergence can be understood developmentally, i.e., in…

This study developed and evaluated machine learning algorithms to predict children's physical activity category from raw accelerometer data collected at the hip. Fifty participants (mean age = 13.9 ± 3.0 y) completed 12 activity trials that were categorized into 5 categories: sedentary (SED), light household activities and games (LHHAG),…

In two studies, we intend to investigate whether spirituality can explain the relationship between intrinsic religious orientation (IRO) and emotional intelligence (EI). Seventy-three worshipping houses-going adults, aged 18-56, had participated in the study. Data was collected by employing Intrinsic Scale of Religious Orientation Scale,…

The goal of knowledge tracing is to track the state of a student's knowledge as it evolves over time. This plays a fundamental role in understanding the learning process and is a key task in the development of an intelligent tutoring system. In this paper we propose a novel approach to knowledge tracing that combines techniques from matrix…