Analysis of results from research in cognitive science and discipline-based education in recent years suggests that student thinking and learning can be better understood and investigated by adopting a systemic perspective that recognizes the complex and dynamic interactions taking place within and across multiple interconnected and interdependent…

Thinking probabilistically is an essential part of thinking statistically, and the probability learning objectives that this article focuses on are those that are important in the underpinning of statistics and statistical models. Like mathematical statistics, probability can be considered purely from a mathematical viewpoint, but the focus here…

In this research we explore the extent to which computational thinking (CT) is evident in 3-6 year-old children's free play. CT is increasingly viewed as an important aspect of a child's school learning. Typically, CT is connected to learning with computers. Yet, much of learning in the early years is play-based, spontaneous, often…

Previous research has highlighted the importance of physicians' early hypotheses for their subsequent diagnostic decisions. It has also been shown that diagnostic accuracy improves when physicians are presented with a list of diagnostic suggestions to consider at the start of the clinical encounter. The psychological mechanisms underlying this…

Education experts Jim Heal and Bryan Goodwin explain that students should be able to think deeply about their learning, not just appear to be engaged. The authors differentiate between student thinking and engagement and offer educators practical strategies to deepen learning and ensure it sticks.

Current environmental problems are the primary focus for environmental science students and researchers. Sustainable environmental solutions require interdisciplinary thought processes, which pose difficulty to both students and the public. Computational thinking is an emerging term emphasized by progressive science curricula. Computational…

Eye movement modeling examples (EMME) are novel types of video modeling examples that contain additional eye-movement recordings of the model to provide attentional guidance. Increasing demand in using instructional videos and interest in using eye-tracking in education makes EMME an appealing research subject. Hence, this study aims to…

In this exploratory study, we investigated students' design thinking strategies during a challenge involving the design of an energy-efficient house. We used the Informed Design Teaching and Learning Matrix as a framework for characterizing the students' design thinking, focusing on four specific strategies--generating ideas, conducting…

Computational thinking (CT) is a new literacy of 21st century that can be transferred to and applied in different real-world situations, although being derived from the discipline of computer science. Tangible robots or child-friendly digital apps are used to implement coding education with the goal of promoting young children's CT. However, there…

Critical thinking--evaluating and analyzing data to make informed judgments--is essential in both the classroom and everyday life. Teaching critical thinking skills in the elementary grades is often an afterthought--if it's a thought at all. Veteran primary teacher and instructional leader Erin Shadowens proposes that students of all ages benefit…

The recognition that the development of Computational Thinking (CT) has been achieved in the educational systems of different countries implies, in some cases, the challenge of integrating its development into mathematics lessons. Although various proposals address the development of CT in the early years of schooling, educational robotics emerges…

Debugging is essential for identifying and rectifying errors in programming, yet time constraints and students' trivialization of errors often hinder progress. This study examines differences in debugging challenges and strategies among students with varying computational thinking (CT) competencies using weekly coding journals from an online…

In a sample of 323 engineering students, structural equation modeling was used to test hypothesized relationships between beliefs about the nature of knowledge in science, beliefs about the process of justification for knowing in science, and argumentative reasoning about an ill-structured social-scientific issue. Beliefs about justification for…

Solving organic chemistry reactions requires reasoning with multiple concepts and data (i.e., multivariate reasoning). However, studies have reported that organic chemistry students typically demonstrate univariate reasoning. Case comparisons, where students compare two or more tasks, have been reported to support students' multivariate reasoning.…

Design thinking and design-led innovation has increased in popularity and use among colleagues in Higher Education, with innovations from student engagement, student experience, classroom pedagogies, to community building. With this interest, the need for support, upskilling, and critical friendships is on the rise too. Building on the findings…