Integrating generative artificial intelligence (AI) tools like ChatGPT into education has reshaped academic practices, offering students innovative ways to engage with learning tasks. This study examines the cognitive, emotional, and behavioral factors influencing undergraduate students' engagement with ChatGPT, guided by the technology acceptance…

The COVID-19 pandemic significantly impacted medical education, causing a shift towards online learning. However, this transition posed challenges in administering online assessments, particularly in proctoring and detecting academic misconduct. This study aimed to investigate the prevalence of academic misconduct among medical students during…

Collaborative problem-solving (CPS) has been one of the essential core skills for future students. However, we found that there are many studies on the evaluation of collaborative problem-solving skills, but there is little studies on the subject areas based on which collaborative problem-solving skills have been evaluated. The three-dimensional…

The COVID-19 outbreak necessitated a rapid transition to eLearning in higher education institutions worldwide, including Uganda, where infrastructural and digital literacy challenges compounded this shift. Predicting student satisfaction with eLearning systems helps institutions evaluate how well these platforms are working, assess their future…

Data mining in education predictions are made about other groups based on the big data of education. However, the extent to which training data can be accessed is relative. A group that can be described as missing data is children living or working on the street. For this reason this study aimed to deal with children working or living on the…

Associations between facial appearance and hiring decisions are well-documented within job literature as a source of decision misjudgment with economic and human costs. Notwithstanding, this aspect is yet to be investigated in healthcare. We collected 90 pictures of new-graduates nurses faces to be judged on different facial appearance-based…

The purpose of the study is to reveal the predictive effect of aggression levels of four-year-old children on their peer victimization levels and to determine their aggression levels according to gender. The sample group of the study consisted of 186 four-year-old children attending preschool education in Pamukkale district of the province of…

Web-based learning systems with adaptive capabilities to personalize content are becoming nowadays a trend in order to offer interactive learning materials to cope with a wide diversity of students attending online education. Learners' interaction and study practice (quizzing, reading, exams) can be analyzed in order to get some insights into the…

High levels of attrition characterize undergraduate science courses in the USA. Predictive analytics research seeks to build models that identify at-risk students and suggest interventions that enhance student success. This study examines whether incorporating a novel assessment type (concept inventories [CI]) and using machine learning (ML)…

Early attachment has been commonly hypothesized to predict children's future developmental outcomes, and robust evidence relying on assessments of single caregiver-child attachment patterns has corroborated this hypothesis. Nevertheless, most often children are raised by multiple caregivers, and they tend to form attachment bonds with more than…

Promoting creativity is considered an important goal of education, but creativity is notoriously hard to measure. In this article, we make the journey from defining a formal measure of creativity, that is, efficiently computable to applying the measure in a practical domain. The measure is general and relies on core theoretical concepts in…

The quality assurance and evaluation of primary schools requires early risk detection. This is a daunting task, not only because risks are typically rare and their origins complex, but also because governing institutions have limited resources and capacity and desire efficiency and proportionality. Many countries, including most Organisation for…

This paper analyzes how learners interact with the pedagogical sequences of educational videos, and its effect on their performance. In this study, the suggested video courses are segmented on several pedagogical sequences. In fact, we're not focusing on the type of clicks made by learners, but we're concentrating on the pedagogical sequences in…

Learning Management Systems (LMS) lack automated intelligent components that analyze data and classify learners in terms of their respective characteristics. Manual methods involving administering questionnaires related to a specific learning style model and cognitive psychometric tests have been used to identify such behavior. The problem with…

Purpose: This study examined the effect of manipulating advanced kinematic information about opponents' pitching movement on ball speed prediction, ball speed perception, and impact timing errors under strict temporal constraints (i.e., a softball game). Method: Three experiments were conducted using visual stimuli consisting of varied kinematic…