Item preknowledge refers to the phenomenon in which some examinees have access to live items before taking a test. It is one of the most common and significant concerns within the testing industry. Thus, various statistical methods have been proposed to detect item preknowledge in computerized linear or adaptive testing. However, the success of…

The quantitative nonexperimental correlational study examines principals' attitudes towards intelligence and inclusion and the academic growth of students with disabilities. Additionally, the study comparatively examined principals' attitudes toward intelligence and inclusion across 11 demographic factors. The Theories of Intelligence Scale --…

This research looked at how higher education leaders identified and managed their emotions in times of institutional change. Interviews were conducted with higher education leaders who were above the level of director and were not chancellors or presidents. The researcher sought to (1) discover the emotions of higher education leaders in times of…

Background: Emotional intelligence and spiritual intelligence are accompaniment to each other for refining human life. Spiritual intelligence builds up moral value, spiritual values and a strong belief system whereas emotional intelligence helps to develop personal relationships with one's own self, social relationships with others and to manage…

The factorial structure of the WISC-IV for 859 Spanish children diagnosed with ADHD was examined. A bifactor model with the four factors first identified by Wechsler (2003a) was the best fit to the data. The Coding and Symbol Search subtests were particularly poor measures of "g" but relatively strong measures of the Processing Speed…

This chapter discusses the importance of emotional intelligence and presents a case for including emotional intelligence in positive education.

The use of statistical investigations as a teaching strategy have been shown to both motivate and engage students. The implementation of a statistical investigation to measure intelligence is described, covering core statistical principles and key elements of research design.

Automated Essay Scoring (AES) tools aim to improve the efficiency and consistency of essay scoring by using machine learning algorithms. In the existing research work on this topic, most researchers agree that human-automated score agreement remains the benchmark for assessing the accuracy of machine-generated scores. To measure the performance of…

In chemistry, reasoning about the underlying mechanisms of observed phenomena lies at the core of scientific practices. The process of uncovering, analyzing, and interpreting mechanisms for explanations and predictions requires a specific kind of reasoning: mechanistic reasoning. Several frameworks have already been developed that capture the…

During the COVID-19 pandemic, the availability of online higher education programs and tools has grown rapidly. One example is an individual digital study assistant (IDSA) for students, which provides functionalities to train self-regulation skills, to engage with own educational goals and to offer automated, first-level support to higher…

Artificial intelligence (AI) has been widely adopted in higher education. However, the current research on AI in higher education is limited lacking both breadth and depth. The present study fills the research gap by exploring faculty members' perception on teaching AI and data science related courses facilitated by an open experiential AI…

Despite showing effects in well-controlled studies, the extent to which early intensive behavioral intervention (EBI) produces positive changes in community-based settings remains uncertain. Thus, our study examined changes in autistic symptoms and adaptive functioning in 233 children with autism receiving EBI in a community setting. The results…

Previous research has identified possible sex-based differences in restricted and repetitive behaviors in autism spectrum disorder (ASD). However, this finding is mixed, particularly among preschool-aged children. We investigated the presence of sex-based differences in parent-rated ASD symptomatology, using the Autism Spectrum Rating Scale…

The advances of machine learning (ML) in scientific discovery (SD) reveal exciting opportunities to utilize it as a cross-cutting tool for inquiry-based learning in K-12 STEM classrooms. There are, however, limited efforts on providing teachers with sufficient knowledge and skills to integrate ML into teaching. Our study addresses this gap by…

In the context of Artificial Intelligence, Generative Adversarial Nets (GANs) allow the creation and reproduction of artificial data from real datasets. The aims of this work are to seek to verify the equivalence of synthetic data with real data and to verify the possibilities of GAN in educational research. The research methodology begins with…