Terms related to disabilities change over time, evolving in response to changing social conventions. Currently, there is a shift toward emphasizing level of supports needed to maximize independence for individuals with disabilities, using terms such as extensive support needs (ESN), significant support needs (SSN), and complex support needs (CSN).…

Advances in Artificial Intelligence (AI) technology and related fields like robotics have made it possible that automated systems will reach and then exceed human performance on more and more tasks. The affected fields span the economy, from health and education to energy and the environment. In this article, the authors define AI and provide some…

The question: "What is an appropriate role for AI?" is the subject of much discussion and interest. Arguments about whether AI should be a "human replacing" technology or a "human assisting" technology frequently take centre stage. Education is no exception when it comes to questions about the role that AI should…

In a context described as a "challenge in parenting" (having an autistic child), we sought to highlight the emotional skills that mothers gain as a result of interacting with their child, and how they then use these skills. Mothers of autistic children (n = 136) and mothers of non-autistic children (n = 139) responded to emotional…

Currently the detection of learning styles from the external aspect has not produced optimal results. This research tries to solve the problem by using an internal approach. The internal approach is one that derives from the personality of the learner. One of the personality traits that each learner possesses is prior knowledge. This research…

Down syndrome (DS) is characterized by difficulties in both intellectual functioning and adaptive behavior. These sets of abilities are considered as separate but related domains with small to moderate correlations. The main objective of this study was to explore the relationship of intellectual functioning and adaptive behavior in adolescents…

In recent decades, critiques of neoliberalism have been widespread within the scholarly literature on education. Despite the lack of a clear definition of what neoliberalism in education is and entails, researchers from different fields and perspectives have widely criticized the neoliberal educational mindset for its narrowness, lack of…

The positive manifold--the finding that cognitive ability measures demonstrate positive correlations with one another--has led to models of intelligence that include a general cognitive ability or general intelligence (g). This view has been reinforced using factor analysis and reflective, higher-order latent variable models. However, a new theory…

Knowledge tracing allows Intelligent Tutoring Systems to infer which topics or skills a student has mastered, thus adjusting curriculum accordingly. Deep Knowledge Tracing (DKT) uses recurrent neural networks (RNNs) for knowledge tracing and has achieved significant improvements compared with models like Bayesian Knowledge Tracing (BKT) and…

Educational systems use models of student skill to inform decision-making processes. Defining such models manually is challenging due to the large number of relevant factors. We propose learning multidimensional representations (embeddings) from student activity data -- these are fixed-length real vectors with three desirable characteristics:…

An enduring challenge in visual-spatial research has been to identify the factors contributing to individual differences in ability. This research investigated the overall, verbal, and nonverbal visual-spatial ability of 61 (34 boys) three- to five-year-olds (M[subscript age] = 57.3 months; SD = 7.9) and the following factors known to be related…

The relation between prior knowledge and learning has been investigated in many studies. However, a recent meta-analysis showed that most of these studies suffered from serious methodological shortcomings, as they failed to account for knowledge growth over time, possible ceiling effects for learners with high prior knowledge, moderating effects…

Nowadays, the prevalence of ChatGPT and other Large Language Models (LLMs) has posed significant challenges into the education field, particularly in English education. In response, this study aimed to investigate the beliefs of 95 EFL university teachers from Chinese universities regarding the integration of LLMs in language education, as well as…

This study delves into the implications of incorporating AI tools, specifically ChatGPT, in higher education contexts. With a primary focus on understanding the acceptance and utilization of ChatGPT among university students, the research utilizes the Unified Theory of Acceptance and Use of Technology (UTAUT) as the guiding framework. The…

Educational analytics tend toward aggregation, asking what a "normative" learner does. In "The Left Hand of Data," educational researchers Matthew Berland and Antero Garcia start from a different assumption--that outliers are, and must be treated as, valued individuals. Berland and Garcia argue that the aim of analytics should…