Behavior analysts typically rely on visual inspection of single-case experimental designs to make treatment decisions. However, visual inspection is subjective, which has led to the development of supplemental objective methods such as the conservative dual-criteria method. To replicate and extend a study conducted by Wolfe et al. (2018) on the…

Most research on emotions and behaviors in science education has used observational or declarative methods. These approaches present certain strengths, but they have important limitations for deepening our understanding of the affective domain. In this work, we develop a method for analyzing the dynamics of affective variables during an…

This study investigated the utility of four WAIS-IV Digit Span (DS) indices (traditional Reliable Digit Span [RDS], RDS-Working Memory [RDS-WM], RDS-Revised [RDS-R], and DS Age-Corrected Scaled Score [ACSS]) as embedded performance validity tests (PVTs) among a sample of 342 consecutive adults referred for neuropsychological evaluation of ADHD.…

This paper demonstrates that a teachable agent (TA) can play a dual role in an online learning environment (OLE) for learning by teaching--the teachable agent working as a synthetic peer for students to learn by teaching and as an interactive tool for cognitive task analysis when authoring an OLE for learning by teaching. We have developed an OLE…

In this study, we investigated how gender and implicit theories of mathematics and science abilities interacted to predict mathematics and science achievements in a sample of elementary (primary) school students from the United States. Study participants came from six elementary schools (Grades 2 to 5) and were a part of a larger sample that…

CDC.gov (2020) shows that the coronavirus (COVID-19) has exposed the cost of an unjust law enforcement and judicial system against minorities. Non-Asian minorities, who are usually the poor with health issues, have been the most negatively affected by COVID-19. The aim of this study is to explain through a literature review how virtual reality…

Although educational research and evaluation generally occur in multilevel settings, many analyses ignore cluster effects. Neglecting the nature of data from educational settings, especially in non-randomized experiments, can result in biased estimates with long-term consequences. Our manuscript improves the availability and understanding of…

The assessment of autism spectrum disorder (ASD) is based on semi-structured procedures addressed to children and caregivers. Such methods rely on the evaluation of behavioural symptoms rather than on the objective evaluation of psychophysiological underpinnings. Advances in research provided evidence of modern procedures for the early assessment…

Background: Motivational factors are one active area of research that aims to increase the inclusion of women in physics. One of these factors that has only recently gained traction in physics is intelligence mindset (i.e., the belief that intelligence is either innate and unchangeable or can be developed). We studied 781 students in…

This quantitative study examined self-perceptions of multiple intelligences among gifted physics-oriented Finnish upper-secondary students (N = 164). The specific focus was on gender differences in the self-evaluated intelligence profiles. The data were gathered via an online questionnaire based on Gardner's theory of multiple intelligences. The…

This present work uses artificial neural networks (ANNs) to examine the association between various dimensions of coaching leadership and turnover Intention. The coaching leadership data were collected from 194 employees across multiple schools in Korea. The ANN models are capable of higher predictive accuracy than conventional linear regression…

In this study, the usability of images generated by artificial intelligence (AI) in education was attempted to be determined. For this purpose, the DALL·E AI tool developed by OpenAI was used. This research aims to determine the usability of images generated by artificial intelligence in education and the qualitative research design was used.…

Social media propagation carries the capacity for global communication and societal wellbeing, digital trading, entertainment, and the centre of engagement. The consequences of over-engagement in social media lead to depression, stress, and low performance. This study unfolds tendencies of excessive use of social media towards general anxiety and…

There has been increasing interest in the use of Fourth Industrial Revolution technologies such as artificial intelligence to help achieve the Sustainable Development Goals. Recently, multilateral organizations have sponsored initiatives to make countries aware of the benefits of using artificial intelligence for sustainable development and to…

Over the past two decades, innovations powered by artificial intelligence (AI) have extended into nearly all facets of human experience. Our ethnographic research suggests that while young people sense they can't "trust" AI, many are not sure how it works or how much control they have over its growing role in their lives. In this study,…