Adaptive behavior is a critical metric for measuring outcomes in those with autism spectrum disorder (ASD). Executive function skills predict adaptive behavior in youth with ASD with average or higher IQ; however, no study has examined this relationship in ASD with lower IQ (IQ = 75). The current study evaluated whether executive function…

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…

Collaborative learning (CL) can be a powerful method for sharing understanding between learners. To this end, strategic regulation of processes, such as cognition and affect (including metacognition, emotion and motivation) is key. Decades of research on self-regulated learning has advanced our understanding about the need for and complexity of…

Education systems produce a large number of valuable data for all stakeholders. The processing of these educational data and making studies on the future of education based on the data reveal highly meaningful results. In this study, an insight was tried to be developed on the educational data collected from ninth-grade students by using data…

Evidence from literature showed that lack of emotional and social intelligence is one of the reasons for disruptive behaviours among adolescents. This study investigated the effect of training on the emotional and social intelligence of secondary school students in Jos, Nigeria. The study involved 26 secondary school students comprising of 10…

The aim of this paper is to survey recent research publications that use Soft Computing methods to answer education-related problems based on the analysis of educational data 'mined' mainly from interactive/e-learning systems. Such systems are known to generate and store large volumes of data that can be exploited to assess the learner, the system…

The 'dyslexia debate' is resilient. In the media, a key component of the debate is the notion that dyslexia does not exist, popularised by a series of vociferous commentators. For them, dyslexia is an invention of overly-concerned parents, supported by a clique of private educational psychologists willing to offer a diagnosis -- for a fee -- even…

Humans are sensitive to the properties of individual items, and exemplar models are useful for capturing this sensitivity. I am a proponent of an extension of exemplar-based architectures that I briefly describe. However, exemplar models are very shallow architectures in which it is necessary to stipulate a set of primitive elements that make up…