This study aims to prepare statistics activity-targeting comprehension of the arithmetic mean, consisting of worked-out example explanations through ChatGPT for sixth graders; determine situations encountered during the implementation of the activity; ascertain the effect of the activity on students' mathematics problem-solving performance; and…

The emergence of generative artificial intelligence (GenAI) tools in recent years has entailed arguments both for and against their use for teaching and learning among policy makers, schools, teachers, and researchers. While the debates have not reached a consensus yet, many teachers struggle with using them. To help build the literature on GenAI…

This study conducted a comprehensive bibliometric and content analysis to explore the integration of artificial intelligence in students' cognitive learning outcomes. A structured TITLE-ABS-KEY search was performed in the Scopus database using keywords such as "Artificial Intelligence," "AI," "Students," and…

Prompt literacy has emerged as a pivotal concept in academic writing, particularly within higher education. This systematic literature review (SLR) critically examines and synthesizes research conducted between 2020 and 2025 on using prompting strategies to enhance academic writing among university students. The review aims to identify the types…

Effective teaching practices are essential for enhancing classroom instruction and student learning. However, a comprehensive understanding of the factors influencing teachers' instructional practices remains elusive. This study employs machine learning (ML) to identify the most significant predictors influencing the instructional practices of…

Improving EFL students' impromptu speaking ability is a challenge for English language instruction. The development of AI technology has brought new opportunities for impromptu speaking instruction. Therefore, this study proposes an AI-supported interleaved training strategy that focuses on the effects on students' impromptu speaking performance,…

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:…