Designing good multiple choice questions (MCQs) for education and assessment is time consuming and error-prone. An abundance of structured and semi-structured data has led to the development of automatic MCQ generation methods. Recently, ontologies have emerged as powerful tools to enable the automatic generation of MCQs. However, current question…

Introduction: During the school stage of the students in their schools different personal and academic activities have a decisive influence on the personal and on the performance variables. Therefore, the study of variables such as emotional intelligence, engagement and academic performance will help to understand the relationships between these…

Detailed, longitudinal ethnographic approaches that explore how school success and failure evolve as interdependent sociohistorical positions are important for understanding how such processes affect unintended educational inequity in schooling. This study describes how one student comes to inhabit the identity of a disruptive student relative to…

Intelligence in minimally verbal children on the autism spectrum (AS) is at risk of being underestimated. The present study investigated testability and cognitive profile of preschool autistic children using conventional tools and strength-informed tools. Fifty-two AS children and fifty-four typical children matched on age (31-77 months) were…

Goal-focused coaching is being used to assist individuals to set and reach personal and workplace goals (Grant, 2007). Thus, organizational leaders are increasingly investing in developing employee performance and well-being. The purpose of this study was to examine the relationship between Emotional Intelligence (EI) and coaching among…

This study was an examination of the systemization of, and law and ethics concepts incorporated into, robotics and computer science courses that offered artificial intelligence as part of the curriculum of selected community colleges. The researcher completed a mixed-methods study using surveys and document analysis. The first area of…

Recent advances in computational linguistics and the social sciences have created new opportunities for the education research community to analyze relevant large-scale text data. However, the take-up of these advances in education research is still nascent. In this paper, we review the recent automated text methods relevant to educational…

Autism spectrum disorder (ASD) research has yet to leverage "big data" on the same scale as other fields; however, advancements in easy, affordable data collection and analysis may soon make this a reality. Indeed, there has been a notable increase in research literature evaluating the effectiveness of machine learning for diagnosing…

In many autistic children, speech onset is delayed and expressive language emerges after 3 years of age. We qualitatively and quantitatively describe oral productions of autistic preschoolers, including many non- or minimally speaking, recorded during interactions with a caregiver and with an experimenter. Data clustering on manually coded oral…

Technology has been shown to reduce students' public speaking anxiety, enhance their delivery skills, and increase presentation self-efficacy. However, students can only garner benefits if technology designed for improving public speaking skills has been adopted and implemented. This study aims to analyze the relationship between students'…

The present study examines how middle school students attending private schools in a major urban centre in India understand intelligence. The study focuses on mindset theory, which is a major framework in the literature on children's understandings of intelligence. Mindset theories distinguish individuals based on beliefs about the malleability of…

Through co-occurrence analysis of 1139 documents (1964-2018) we identified discussions about the implementation of student teaching evaluation (SET). We found that: (1) Attention to SET originated in the US in the 1970s, spreading to German-speaking countries in the mid-1990s and continuing in China and Latin America in the early 2000s. (2) SET is…

Looking at human communication from the perspective of semiotics extends our view beyond verbal language to consider other sign systems and meaning-making resources. Those include gestures, body language, images, and sounds. From this perspective, the communicative process expands from individual mental processes of verbalizing to include features…

Recent negotiations of 'data' in schools place focus on student assessment and NAPLAN. However, with the rise in artificial intelligence (AI) underpinning educational technology, there is a need to shift focus towards the value of teachers' digital data. By doing so, the broader debate surrounding the implications of these technologies and rights…

The current study aims to determine the effect of teaching a mechanic neuro-computerized course through virtual learning environments (VLE) to develop computational thinking among mathematics pre-service teachers. The neuro-computerized virtual learning environments (NCVLE) model was designed to be used to teach the mechanics course to third-year…