Background/purpose: In the first quarter of the twenty-first century, unprecedented developments in technology began to revolutionize 'modern' society and started the era of Industry 4.0, which is characterized by the rapid integration of the newest technologies such as the Internet of Things (IoT), smart technologies, and artificial intelligence…

This study investigates ChatGPT's perspectives on coding education for preschool children to provide a comprehensive understanding that is valuable for educators in early childhood education. An instrumental case study approach was employed, utilizing qualitative research design and case study methods. Data were gathered using a structured…

Explanatory processes are at the core of scientific investigation, legal reasoning, and education. However, effectively explaining complex or large amounts of information, such as that contained in a textbook or library, in an intuitive, user-centered way is still an open challenge. Indeed, different people may search for and request different…

In recent years, the pre-training of Large Language Models (LLMs) in the educational domain has garnered significant attention. However, a discernible gap exists in the application of these models to mathematics education. This study aims to bridge this gap by pre-training LLMs on authentic K-12 mathematical dialogue datasets. Our research is…

This study compared Stepwise Logistic Regression (Stepwise-LR) and three machine learning (ML) methods--Classification and Regression Trees (CART), Random Forest (RF), and Generalized Boosted Modeling (GBM) for estimating propensity scores (PS) applied in causal inference. A simulation study was conducted considering factors of the sample size,…

The rapid advancement of Artificial Intelligence (AI) offers new perspectives for addressing global environmental challenges like climate change. However, its effective application relies on cultivating interdisciplinary talent with expertise in AI and environmental science. Therefore, motivating adolescents to apply AI in environmental protection…

In-service teacher professional learning (PL) has become essential for enhancing teaching competence to meet the ever-changing demands of teaching English to speakers of other languages (TESOL). Existing literature reviews have identified and focused on specific factors influencing TESOL teachers' PL and probed into PL for preservice teachers but…

Human and animal behaviors are influenced by goal-directed planning or automatic habitual choices. Reinforcement learning (RL) models propose two distinct learning strategies: a model-based strategy, which is more flexible but computationally demanding, and a model-free strategy is less flexible yet computationally efficient. In the current RL…

Purpose: This study aims to explore the relationship between emotional intelligence (EI) and performance. Based on the job demands and resources (JD-R) and conservation of resources (COR) theories, a conceptual model is developed showing organizational citizenship behavior (OCB) as a mediator and emotional exhaustion as a moderator in influencing…

Large language models (LLMs) hold significant potential to enhance online learning by automating responses to learner queries and offering personalized, scalable support. However, concerns about bias in LLM-generated responses present challenges to their ethical and equitable use in educational settings. This study explores fairness and…

Purpose: This paper investigates the factors affecting individual dispositions toward intentions. Specifically, this study aims to investigate the effects of emotional intelligence, entrepreneurial motivation and creativity on the entrepreneurial intentions of university students in Jordan. Design/methodology/approach: The data were gathered…

Education is a dynamic field that must be adaptable to sudden changes and disruptions caused by events like pandemics, war, and natural disasters related to climate change. When these events occur, traditional classrooms with traditional or blended delivery can shift to fully online learning, which requires an efficient learning environment that…

The current research looks at creativity as a construct resulting from a blend of interacting individual resources and investigates, in a sample of 63 young adults, the extent to which real-world creative production is supported by trait emotional intelligence (EI), through creative thinking, including both divergent thinking (DT) and convergent…

Anatomical pathology (AP) is an anatomy-centric medical specialty devoted to tissue-based diagnosis of disease. The field faces a current and predicted workforce shortage, likely increasing diagnostic wait times and delaying patient access to urgent treatment. A lack of AP exposure is proposed to preclude recruitment to the field, as medical…

Purpose: Emotional intelligence (EI) can improve patient-doctor relationships, foster empathy, develop teamwork in the workplace, and boost communication skills. This study aims to determine whether a cohort of residents has different profiles to their demographic and EI. Design/methodology/approach: A cross-sectional survey was conducted in…