Artificial intelligence is the unification of philosophy, cognitive science, mathematics, neurophysiology, psychology, computer science, information theory, cybernetics, and uncertainty theory. Therefore, it is feasible and necessary to utilize STEAM (Science, Technology, Engineering, Liberal Arts, and Mathematics) education to learn artificial…

How anthropomorphic reasoning functions in scientific thinking has been a controversial topic. There is evidence it is problematic as well as evidence it can play productive roles, for scientists and for students. In science education, however, the prevailing view remains that it is an impediment. For this study, we have chosen examples of what we…

Understanding how and why science works is a major goal of science education. The aim of this article is to analyze the influence of a research experience in real science contexts, in the thinking and practice of preservice elementary teachers regarding inquiry and nature of science teaching. An in-depth case study which highlights the affordances…

This study addresses the measurement of high school students' epistemic knowledge associated with scientific experimentation (EKSE) which concerns "how" scientific experimentation generates knowledge and "why" that knowledge is justified. Based on philosophical, educational standards, and literature analyses, an EKSE construct…

Students often learn about measurement uncertainty as an isolated topic, with a focus on generalizable strategies to manage uncertainty in scientific investigation. In this study, we report and analyze a case of emergent learning about measurement and uncertainty, in which students in a Chinese elementary school science class explored and…

Computationally intensive science (CIS)-related disciplines and careers are predicted to be among the cutting-edge fields and high-demand jobs. Such disciplines and careers demand expertise in both traditional scientific knowledge and computer science (CS)-related understanding and skills. Preparing educational systems for developing interest and…

In this paper, we argue that the current science curricula are failing to educate students to be competent outsiders to science. Historically, science education has rested on two premises. The first is that it is possible for students to acquire sufficient scientific knowledge from K-12 education to become intellectually independent. That is that…

To examine the ways that 6- to 11-year-old children's conversation with their parents support their developing understandings of evolution, 49 parent-child dyads participated in a study with two elicited discussion tasks: origins of species and potential species change. Conversational data were transcribed, coded, and qualitatively and…

In a pandemic era, it is necessary to equip individuals with the ability to make informed decisions about health issues, especially in relation to viruses and vaccines. In order to achieve this goal, science educators need to explore students' decisions and reasoning about vaccination. The aim of the study reported in the paper, therefore, is to…

Balancing disciplinary knowledge and practical reasoning in problem solving is needed for meaningful learning. In STEM problem solving, science subject matter with associated practices often appears distant to learners due to its abstract nature. Consequently, learners experience difficulties making meaningful connections between science and their…

Is public engagement with science deliberative and evidence-based? The public is often perceived as underprepared to use data and susceptible to partisan and emotional manipulation. Consequently, educational efforts focus on the ability to identify reliable information. We posit that effective engagement with science goes beyond this and hinges on…

This paper reports on a case study of undergraduate biology students' drawing-based modeling and how this process plays out in naturalistic dialogues. Recent research has revealed the importance of drawings, talk, and gestures in students' model-based reasoning. This study provides further insight into the complementary role of these multimodal…

The most important understanding science students should acquire is arguably an understanding of science as a way of knowing, one central to science but not specific to it. Students' own engagement in scientific inquiry and argument can support this developing understanding but does not guarantee it. We report the results of urban adolescents'…

Due to the COVID-19 pandemic and adapting the classes urgently to distance learning, directing students' interest in the course content became challenging. The solution to this challenge emerges through creative pedagogies that integrate the instructional methods with new technologies like augmented reality (AR). Although the use of AR in science…

As models of how students' thinking may change over time, learning progressions (LPs) have been considered as supports for teachers' classroom assessment practices. However, like all models, LPs provide simplified representations of complex phenomena. One key simplification is the characterization of student thinking using levels--that is, the…