Despite its proven added value, modeling-based learning (MbL) in science is not commonly incorporated into the early grades. Our purpose in this descriptive case study was to enrich our understanding of how kindergarten children enact MbL by examining these children's constructed models and their accompanying oral descriptions of their models. For…

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…

Quantum physics forms the basis for exciting new technologies, including quantum computers, quantum encryption, and quantum entanglement. The advancement of science and technology highlights the importance of mastering quantum physics and its applications, not only at the college level but also as early as high school. In this multiple case study,…

Analogies and modelling have been developed and applied in learning and teaching science to facilitate students' understanding of abstract concepts, such as atomic structure. Considering few studies focus on comparing the effects of two teaching strategies--analogy-based teaching (ABT) and modelling-based teaching (MBT)--this study aims to compare…

Modeling is a scientific practice that supports creative reasoning, motivates inquiry, and facilitates community sense-making. This paper explores students' perspectives on modeling in an undergraduate laboratory course, Authentic Inquiry through Modeling (AIM-Bio), in which they proposed, tested, and revised their own models. We conducted…

Constructing scientific arguments is an important practice for students because it helps them to make sense of data using scientific knowledge and within the conceptual and experimental boundaries of an investigation. In this study, we used a text mining method called Latent Dirichlet Allocation (LDA) to identify underlying patterns in students…

We systematically compared two coding approaches to generate training datasets for machine learning (ML): (1) a holistic approach based on learning progression levels; and (2) a dichotomous, analytic approach of multiple concepts in student reasoning, deconstructed from holistic rubrics. We evaluated four constructed response assessment items for…

This study investigated eight experienced science teachers' and eight senior high school students' metavisualization when they drew models to represent their concepts of carbon cycling. Qualitative data collection techniques including think-aloud tasks and follow-up retrospective interviews were employed. The purposes of the study included: (1) to…

Building scientific arguments is a central ability for all scientists regardless of their specific domain. In organic chemistry, building arguments is a necessary skill to estimate reaction processes in consideration of the reactivities of reaction centres or the chemical and physical properties. Moreover, building arguments for multiple reaction…

The first phase of this multiphase study involves modeling of college students' thinking of friction at the microscopic level. Diagnostic interviews were conducted with 11 students with different levels of physics backgrounds. A phenomenographic approach of data analysis was used to generate categories of responses which subsequently were used to…

This paper gives an example of how to address the challenge of designing a learning progression that describes student thinking, with the necessary specificity to align instructional opportunities and assessment tools. We describe the Conceptual Underpinnings of Evolution project and the iterative process of developing a novel learning progression…

Explanations of phenomena in chemistry are grounded in discussions of particulate-level behavior, but there are limitations to focusing on single particles, or as an extension, viewing a group of particles as displaying uniform behavior. More sophisticated models of physical processes evoke considerations related to the dynamic nature of bulk…

In this mixed method study, we analyse the effectiveness of two pedagogical approaches -- one model-based and another non-model-based -- for developing secondary students' understanding of the phenomenon of increase in Earth's average surface temperatures, a core dimension of global climate change (GCC). Building on past research on teaching and…

This study investigates how elementary students were able to construct a human respiratory system model and, in particular, how the process of reasoning contributed to their model through the use of analogy model activities. For this study, modeling activities that included the use of analogy models were designed and implemented. Over 4 class…

The Einstein-First project aims to change the paradigm of school science teaching through the introduction of modern Einsteinian concepts of space and time, gravity and quanta at an early age. These concepts are rarely taught to school students despite their central importance to modern science and technology. The key to implementing the…