This study reviews existing research on the use of large language models (LLMs) for automatic item generation (AIG). We performed a comprehensive literature search across seven research databases, selected studies based on predefined criteria, and summarized 60 relevant studies that employed LLMs in the AIG process. We identified the most commonly…

This study employed repeated measures ANOVA to assess the reliability of an instrument designed to measure utilization, awareness, and perception of AI in research among 150 undergraduate students. Validated instruments with robust psychometric properties were used for the study. Data collection occurred in three phases spaced two weeks apart,…

Within the organizational field, emotional intelligence is linked to socially competent behaviors, which allow the development of labor and organizational abilities necessary for professional development. Thus, in workers, emotional intelligence is related to a wide range of organizational variables. The purpose of the present study was to…

ChatGPT, an artificial intelligence powered chat tool that accomplishes essential work with its language understanding and text generation capabilities, has started to benefit education and many other areas with new updates. This study predicted the ability to create a number sense achievement test with ChatGPT version 3.5. It showed that the test…

In clinical and forensic evaluations, clinical neuropsychologists measure performance validity using standalone and embedded measures. Given the need to capture neuropsychological functioning through a variety of cognitive tests, newer, more sensitive measures should be evaluated for their utility in comparison to already established measures.…

I consider recent attempts to establish standards, principles, and goals for artificial intelligence (AI) through the lens of educational measurement. Distinctions are made between generative AI and AI-adjacent methods and applications of AI in formative versus summative assessment contexts. While expressing optimism about its possibilities, I…

Classroom engagement is a critical factor for evaluating students' learning outcomes and teachers' instructional strategies. Traditional methods for detecting classroom engagement, such as coding and questionnaires, are often limited by delays, subjectivity, and external interference. While some neural network models have been proposed to detect…

Purpose: The Language ENvironment Analysis (LENA) technology uses automated speech processing (ASP) algorithms to estimate counts such as total adult words and child vocalizations, which helps understand children's early language environment. This ASP has been validated in North American English and other languages in predominantly monolingual…

The construct validity of the International Cognitive Ability Resource (ICAR) has yet to be investigated using a gold-standard individually administered intelligence battery. The present study used a convenience sample of 97 students to examine the respective relations between the ICAR16 and overall intelligence (g) and the Cattell-Horn-Carroll…

Background: The study focuses on the need to optimise assessment scales for support needs in individuals with intellectual and developmental disabilities. Current scales are often lengthy and redundant, leading to exhaustion and response burden. The goal is to use machine learning techniques, specifically item-reduction methods and selection…

This study aimed to investigate the psychometric properties of the Wechsler-4 Intelligence Scale who are deaf with Mild Intellectual Disability. Descriptive survey method was used. The sample included (174) deaf students in Jordan, ranging in age from (6-16.11) years. The scale was also applied in sign language. Validity indicators were found…

Introduction: The study of emotional regulation in university students is of great importance given the negative consequences of stress and mental distress caused by emotional dysregulation. The purpose of the study therefore was to carry out confirmatory factor and invariance analysis of Difficulties in Emotional Regulation Scale Short Form,…

This study aims to adapt to Turkish the "Scale for the assessment of non-experts: AI literacy" developed by Laupichler et al. (2023a). The scale consists of 31 items with three sub-dimensions: technical understanding, critical thinking, and practical applications. The data required for the validity and reliability study of the scale were…

As artificial intelligence(AI) is utilised throughout society, the need to improve AI literacy as an essential competency, not only for specific experts but also for general citizens, is increasing. Therefore, several studies are being conducted on AI education, and attempts are being made to introduce it into the regular education curriculum.…

This paper presents the development and validation of the Learning & Educator Nurturing Style (LENS), a new inventory in Japanese designed to identify and assess educational philosophy. Based on the Philosophies Held by Instructors of Lifelong-learners (PHIL) framework, LENS was created through a rigorous back-translation process to ensure…