Productive engagement in fractional reasoning is essential for abstracting fundamental algebraic concepts vital to college and career success. Yet, data suggest students with learning disabilities (LDs), in particular, display pervasive shortfalls in learning and mastering fraction content. We argue that shortfalls in understanding are in fact…

Aim/Purpose: This study aims to implement and evaluate a personalized digital learning environment (PDLE) that delivers differentiated instruction for enhancing computational thinking competencies through robotics education. Background: The background emphasizes the growing demand for computational thinking skills in the modern workforce and the…

Purpose: Although the existing literature has explored the link between cognitive functioning and speech recognition in noise, the specific role of fluid intelligence still needs to be studied. Given the established association between working memory capacity (WMC) and fluid intelligence and the predictive power of WMC for speech recognition in…

In the recent decade, the proliferation of ICTs that require Wi-Fi routers in schools has been accompanied by public concerns about risks fueled in many cases by media reporting. The current study examines ways in which parents of school-age children perceive the issue of Wi-Fi radiation in schools by using a science literacy framework that…

Mathematical abstraction skills are fundamental for advanced reasoning and problem-solving, yet assessing these skills in senior high school students poses challenges due to limited validated instruments. This study aims to develop and validate a test instrument for measuring mathematical abstraction skills in Indonesian high school students. The…

The introduction of artificial intelligence (AI) in people's lives, including in educational settings, is happening rapidly and on a massive scale. However, AI represents a complicated and abstract concept for laypeople and is, in its entirety, still quite unfamiliar to many, including students in higher education. Metaphors may facilitate the…

This study aimed to design, develop, and validate the RSiSTEM framework, a robotics-based simulation learning model intended to foster students' problem-solving and systems thinking competencies within STEM education. The research followed a two-phase developmental design. In Phase 1, the framework was constructed through a systematic synthesis of…

Semantic is associated with the relationship between symbol, reference, and the problem's context involved in the problem-solving process which also involves reasoning and decision-making. Hence, this study describes the characteristics of students' semantic reasoning to solve the double discounts problem. 51 high school students in Sidoarjo…

The purpose of this study is to examine the impact of religious education on Turkish children's "reality status" judgements, reasoning processes and "intercessory beliefs for problem solving." The participants consist of 51 children, 27 of whom are enrolled in a public kindergarten that provides secular education and 24 in…

Based on recent findings in cognitive neuroscience and psychology as well as computational models of working memory and reasoning, I argue that fluid intelligence (fluid reasoning) can amount to representing in the mind the key relation(s) for the task at hand. Effective representation of relations allows for enormous flexibility of thinking but…

Computational thinking (CT) has been advocated as an essential problem solving skill students need to develop. Emphasizing on CT applied in both programming and everyday contexts, we developed a humanoid robotics curriculum and a computerized assessment instrument. We implemented the curriculum with six classes of 125 fifth graders. Quantitative…

The generality requirement, or the requirement that a proof must demonstrate a claim to be true for all cases within its domain, represents one of the most important, yet challenging aspects of proof for students to understand. This article presents a multi-faceted framework for identifying aspects of students' work that have the potential to…

Many studies have characterized students' difficulties in understanding and reasoning about scientific mechanisms. Some of those studies have drawn implications on teaching mechanisms and how to guide students while reasoning mechanistically. In this theoretical article, I claim that one component that has not garnered much attention in the…

The most obvious feature of expertise in chemistry is content knowledge, which defines the primary objectives of instruction. Research in chemistry education, and STEM education more broadly, has also devoted attention to students' developing scientific practices of reasoning, investigation, and learning. In this study, we set out to investigate…

This article examines the challenges that an epistemic account of deliberative democracy, according to which democratic deliberation has 'truth-tracking' capacities, encounters in contemporary polarized societies, and then discusses how these challenges could be addressed through democratic education. The focus of the article is especially on two…