Background/purpose: The increasing urgency of environmental sustainability in higher education institutions has prompted the need for innovative approaches to Green Campus implementation. Artificial Intelligence (AI) offers transformative potential to optimize resource management and support sustainable campus operations. However, many…

The Woodcock-Johnson V (WJ V; McGrew, Mather, LaForte, et al., 2025) represents the most significant evolution in comprehensive cognitive assessment since the battery was introduced nearly 50 years ago. This article provides an overview of the WJ V Tests of Cognitive Abilities and Virtual Test Library, highlighting key revisions from the WJ IV and…

The adoption of artificial intelligence (AI) technologies, such as generative AI (GenAI), follows a continuum, beginning with awareness and progressing to active engagement and leadership. The extent of its successful implementation, its impact on educators' evolving roles, and the actual picture in the field need to be scrutinized. The effects of…

Purpose: This study investigates the role of AI awareness, academic level, information sources, and educational support in shaping accounting students' Attitudes toward AI in Auditing. The research aims to provide actionable insights for integrating AI into accounting education and equipping students with the necessary skills to adapt to a rapidly…

This study analyzed an AI chatbot's perspectives on adolescent sexting through quantitative questionnaire responses and a qualitative conversational interview. Findings revealed problematic biases stemming from limitations in training data and algorithms. The chatbot showed an imbalanced focus on sexting's risks compared to benefits for healthy…

In the rapidly evolving digital landscape, artificial intelligence (AI) is fundamentally redefining English for Specific Purposes (ESP) education across disciplines such as Political Studies, International Relations, Sociology, and Psychology. This paper explores how AI-powered tools enhance personalized, immersive, and authentic learning…

With the rapid advancement of artificial intelligence technology, the artificial intelligence literacy, creativity, self-efficacy, and academic achievement of college students have increasingly garnered attention from the global educational community. This study, based on cognitive behavioral theory, employs Partial Least Squares Structural…

Purpose: This study is aimed at explaining university teachers' behavioral intentions to use generative artificial intelligence (GAI) in their instruction, considering the effect of their AI literacy (AIL), organizational guidelines (OG), pedagogical relevance (PR) of GAI and their previous experiences (PE) with AI. Design/methodology/approach:…

Supporting academically at-risk students has attracted much attention in the field of learning analytics. However, much of the research in this area has focused on developing advanced machine learning models to predict students' academic performance, which alone is insufficient to improve student learning without the implementation of timely…

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:…