ChatGPT has become a prominent tool for fostering personalized and interactive learning with the advancements in AI technology. This study analyzes 212 academic research articles indexed in the Scopus database as of July 2023. It maps the trajectory of educational studies on ChatGPT, identifying primary themes, influential authors, and…

Multi-sensory environments are widely used with autistic children. However, there are no data on how autistic children choose to spend time in the room and how this relates to their sensory, behavioural and intellectual profiles. We observed the frequency and duration of visits to multi-sensory environment equipment of 41 autistic children during…

The application of machine learning (ML) has grown and is now used to enhance learning outcomes. In blended classroom settings, ML, emerging smartphones and wearable technologies are commonly used to improve teaching and learning. The combination of these advanced technologies and ML plays a crucial role in enhancing real-time feedback quality.…

Although early behavioral intervention is considered as empirically-supported for children with autism, estimating treatment prognosis is a challenge for practitioners. One potential solution is to use machine learning to guide the prediction of the response to intervention. Thus, our study compared five machine algorithms in estimating treatment…

The annual "What's Hot in Literacy" survey uncovers the current focal points within literacy education. A panel of twenty-five literacy leaders participated and engaged in interviews to identify the most and least emphasized literacy topics, as well as those deserving more attention. The findings for 2023 spotlight several topics…

This study explores sex-differences in (a) rates and profiles of autism symptoms as well as in (b) the contribution of intellectual quotient (IQ) to autism symptom presentation in Down syndrome (DS). Participants were 40 males and 38 females with DS, aged 6 to 23 years. Autism symptoms were rated through the Autism Diagnostic Observation…

Machine learning (ML) methods for causal inference have gained popularity due to their flexibility to predict the outcome model and the propensity score. In this article, we provide a within-group approach for ML-based causal inference methods in order to robustly estimate average treatment effects in multilevel studies when there is cluster-level…

Advances in the integration of smart technology with interdisciplinary methods has created a new genre, approachable modeling and smart methods -- AM-Smart for short. AM-Smart platforms address a major challenge for applied and public sector analysts, educators and those trained in traditional methods: accessing the latest advances in…

Purpose: This study aims to explore the perception of students from conflicted groups studying nursing together regarding the intergroup encounter. Specifically, this study focused on Jewish and Arab students in a nursing undergraduate program at an Israeli college. This study focused on the association between two factors [students' cultural…

The present study investigates the potential of ChatGPT as an L2 teaching support and aims to explore the extent to which this Generative AI-powered tool is helpful for English as a Foreign Language (EFL) teachers. Therefore, this exploratory single instrumental case study followed an EFL teacher using ChatGPT for seven months, from January to…

The teaching of children with Autism spectrum disorder (ASD) in Arabic-speaking countries depends mainly on the traditional techniques which are limited and outdated. On the other hand, smartphone applications (apps) have become an essential part of the current life style. They are literally used to accomplish thousands of different tasks related…

Introduction: In Australia, 54.3% of medical students are women yet they remain under-represented in stereotypical perspectives of medicine. While potentially transformative, generative artificial intelligence (genAI) has the potential for errors, misrepresentations and bias. GenAI text-to-image production could reinforce gender biases making it…

The use of large language models like ChatGPT is widely discussed for educational purposes. Using this technology requires teachers to have appropriate competences that incorporate knowledge of how to make use of this technology. In this study, we investigate pre-service teachers' knowledge through the lens of the KTMT model ("Knowledge for…

A dissertation is presented on a teaching program for emotional intelligence (EI) and empathy with a cohort of nursing students enrolled in a traditional, undergraduate nursing college in the Northeast region of the United States (US). An interactive teaching program was used with various media to present new material and learning activities…

Emotional intelligence plays a crucial role in children's development. It has been shown in previous studies that emotional intelligence not only influences academic performance but also benefits children's social and interpersonal lives. This study proposes a new strategy that integrates dialogical reading with visible thinking routines to…