This preliminary cross-sectional study, focusing on Artificial Intelligence (AI), aimed to assess the impact of ChatGPT on translation within an Arab context. It primarily explored the attitudes of a sample of translation teachers and students through semi-structured interviews and projective techniques. Data collection included gathering…

Human intelligence has been identified as more than intellectual ability since the early part of the 20th century. In the 1990's, attention has been placed on the emotional intelligence of individuals. Emotional intelligence has been identified as a better indicator of success than intellectual intelligence for both children and adults (Duckworth…

This chapter provides preliminary evidence to show that financial accounting students would use generative artificial intelligence (AI) tools to improve their learning if given the opportunity to do so by their instructors. Most students who completed the exercises we used in the study did so diligently and modified their answers after using a…

Purpose: This study aims to delve into the perspectives of educators on integrating ChatGPT, an AI language model into management education. In the current research, educators were asked to talk as widely as possible about the perceived benefits, limitations of ChatGPT in management education and strategies to improve ChatGPT for management…

Career intelligence is of major importance for students to understand their aptitudes, interests, and abilities. The aims of this quantitative research are 1) to develop an Online Career Intelligence Test (OCIT) for Thai high school students, and 2) to confirm factor analysis of the test. Multistage random sampling was performed on a sample of…

Despite the lasting interest towards the relationship between intelligence and creativity, comparably less attention is paid to its age-related changes. Our paper considers the organization of fluid intelligence and psychometric indicators of creativity and is based on the experimental data obtained for children aged 11 (n = 99) and for young…

In comparison to young adults, middle-aged and old people show lower scores in intelligence tests and slower response times in elementary cognitive tasks. Whether these well-documented findings can both be attributed to a general cognitive slow-down across the life-span has become subject to debate in the last years. The drift diffusion model can…

Background: Modern engineering culture is rooted in assumptions of intellectual superiority. Scholars have demonstrated that smartness functions as an oppressive cultural practice in educational settings. However, the shared ways in which undergraduate engineering students understand what it means to be smart remain largely implicit and…

This study was the first to investigate the prospective effects of failure mindsets on implicit theories of intelligence (ITI), whose profound effects on learning, motivation, and academic achievement have found increasing support. Participants were 240 Chinese university students (180 females, M[subscript age] = 19.13) who completed a baseline…

This study describes a theory-informed application of data science methods to analyze the quality of reflections made in a health professions education program over time. One thousand five hundred reflections written by a cohort of 369 dental students over 4 years of academic study were evaluated for an overall measure of reflection depth (No,…

Purpose: To perform a scoping review to determine what is known about emotional intelligence (EI) in undergraduate medical education (UME). Two main questions were asked: (1) What medical student characteristics are associated with EI? Are there correlations with demographic or other factors?; and (2) What research studies have been done on EI in…

Manual screening of citation records could be reduced by using machine classifiers to remove records of very low relevance. This seems particularly feasible for update searches, where a machine classifier can be trained from past screening decisions. However, feasibility is unclear for broad topics. We evaluate the performance and implementation…

Neural networks are ubiquitous in applied machine learning for education. Their pervasive success in predictive performance comes alongside a severe weakness, the lack of explainability of their decisions, especially relevant in humancentric fields. We implement five state-of-the-art methodologies for explaining black-box machine learning models…

This paper has designed a professional and practical SIMD computer mathematical model based on the SIMD physical machine model combined with the variable addition method. Furthermore, the model is applied in image collection, processing, and display operations, and a SIMD data parallel image processing system is finally established by absorbing…

As of 2021, more than 30 countries have released national artificial intelligence (AI) policy strategies. These documents articulate plans and expectations regarding how AI will impact policy sectors, including education, and typically discuss the social and ethical implications of AI. This article engages in thematic analysis of 24 such national…