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…

The present study aimed to investigate the test-retest reliability of the Wechsler Intelligence Scale for Children-Fourth edition (WISC-IV) in a sample of 138 children with autism spectrum disorder (ASD) from a child psychiatric clinic in Tokyo, Japan. The stability coefficient of the Full Scale Intelligence Quotient (FSIQ), which is composed of…

It is well established that intelligence testing in its modern form developed and was deployed slightly differently in several countries, most notably France, England and the United States. Less widely recognized is the fact that its originators were all part of a close network of scholars who liaised internationally, exchanged ideas and were…

Despite substantial evidence for the link between an individual's intelligence and successful life outcomes, questions about what defines intelligence have remained the focus of heated dispute. The most common approach to understanding intelligence has been to investigate what performance on tests of intellect is and is not associated with. This…

Tasks in accounting textbooks play a vital role when it comes to learning processes. However, hardly any empirical evidence on the quality of accounting tasks exists regarding accounting-relevant characteristics. This is why a new category system containing accounting-relevant aspects was developed to analyze a total of 3,361 tasks from 14…

This study aimed to identify pre-service science teachers' awareness of employing artificial intelligence in science education. It sought also to determine the reasons that led to this level of pre-service science teachers' awareness of employing AI in science education. The mixed-method was used with an interpretive sequential design. The…

In response to contagion, competing and contradictory movements emerge that engender openness to new modes of life and reactionary defenses of old ones, that acknowledge mutual dependency and vulnerability and that heighten the policing and surveillance of borders. Through reading the Empire project, this article articulates these as struggles…

Few individuals--whether scholars or laypersons--think that the words "smart" or "intelligent" suffice to characterize a person's intellectual strengths. In this article, the author reviews a set of terms commonly used to characterize intellectual strengths and then introduces the concept of "synthesizing"--an…

Working in groups is an important collaboration activity in the educational context, where a variety of factors can influence the prediction of the teams' performance. In the pertinent bibliography, several machine learning models are available for delivering predictions. In this sense, the main goal of the current research is to assess 28…

Regular expression (regex) coding has advantages for text analysis. Humans are often able to quickly construct intelligible coding rules with high precision. That is, researchers can identify words and word patterns that correctly classify examples of a particular concept. And, it is often easy to identify false positives and improve the regex…

Considerable amount of research in educational data mining has focused on developing efficient algorithms for Knowledge Tracing (KT). However, in practice, many real-world learning systems used at scale struggle to implement KT capabilities, especially if they weren't originally designed for it. One key challenge is to accurately label existing…