Organic chemistry is challenging for novices as it involves a large quantity of organic reactions. Effective learning requires not only profound theoretical knowledge but also the ability to reason about causal mechanisms. This study investigated pre-service chemistry teachers' mechanistic reasoning and the implicit cognitive process. Participants…

An ability to engage in system thinking is necessary to understand complex problems. While many pre-college students use system modeling tools, there is limited evidence of student reasoning about causal relationships that interact in diverging and converging chains, and how these affect system behavior. A chemistry unit on gas phenomena was…

Mechanistic explanations, aiming to disclose details of entities and their activities, employ the act of unpacking which, inherently and paradoxically, produces explanatory gaps--pieces of undisclosed, undetailed mechanistic information. These gaps, termed explanatory black boxes, are often perceived as counterproductive to the teaching of…

Contextual features of assessments can influence the ideas students draw from and the ways they assemble knowledge. We used a mixed-methods approach to explore how surface-level item context impacts student reasoning. In study 1, we developed an isomorphic survey to capture student reasoning about fluid dynamics, a crosscutting phenomenon, in two…

In this study, we have explored the effectiveness of two instructional approaches in the context of the motion of objects falling at terminal speed in the presence of air resistance. We ground these instructional approaches in dual-process theories of reasoning, which assert that human cognition relies on two thinking processes. Dual-process…

"Complex systems" is a general-purpose reasoning scheme, used in a wide range of disciplines to make sense of systems with many similar entities. In this paper, we examine the generality of this approach in learning chemistry. Students' reasoning in chemistry in terms of emergent complex systems is explored for two curricula: a normative…

Cognitive neuroscience methods can identify the fMRI-measured neural representation of familiar individual concepts, such as apple, and decompose them into meaningful neural and semantic components. This approach was applied here to determine the neural representations and underlying dimensions of representation of far more abstract physics…

Background: Preschoolers' knowledge of the principle of static equilibrium is an important research focus for understanding children's science content knowledge. Hitherto studies have mainly used behavioural observation with small samples. Thus, extending these studies with a validated test instrument is desirable. Aims: The aim was to validate an…

Real-world processes are complex and require ideas from multiple disciplines to be explained. However, many science courses offer limited opportunities for students to synthesize scientific ideas into coherent explanations. In this study, we investigated how students constructed causal explanations of complex phenomena to better understand the…

This study aims to reveal the trends and foundations in research on students' conceptual understanding in science education. The literature was selected from three recognized journals in science education. The Structural Topic Model (STM) method was used to categorize articles into ten topics considering information about the semantic cohesion and…

Research in organic chemistry education has revealed that students often rely on rote memorization when learning mechanisms. Not much is known about student productive resources for causal reasoning. To investigate incipient stages of student causal reasoning about single mechanistic steps of organic reactions, we developed a theoretical framework…

Many scientific theories and discoveries involve reasoning about extreme scales, removed from human experience, such as time in geology and size in nanoscience. Thus, understanding scale is central to science, technology, engineering, and mathematics. Unfortunately, novices have trouble understanding and comparing sizes of unfamiliar large and…

Chemical kinetics is a highly quantitative content area that involves the use of multiple mathematical representations to model processes and is a context that is under-investigated in the literature. This qualitative study explored undergraduate student integration of chemistry and mathematics during problem solving in the context of chemical…

This study tested the hypothesis that exploratory learning, with and without analogous problems, would improve students' ability to make connections between conceptually-related topics. In this randomized experiment, undergraduates in introductory physics (N = 171) studied a new topic under three different instructional conditions. Order and type…

Many scientific theories and discoveries involve reasoning about extreme scales, removed from human experience, such as time in geology, size in nanoscience. Thus, understanding scale is central to science, technology, engineering, and mathematics. Unfortunately, novices have trouble understanding and comparing sizes of unfamiliar large and small…