Science

Knowing how science teachers develop their professional knowledge has been a challenge. One potential way to determine the professional knowledge of teachers is through videos. In the study described here, the authors recruited 60 elementary and secondary science teachers, showed them one of two 10-min videos, and recorded and analyzed their comments when watching the videos.

In rural, geographically dispersed school districts, access to high-quality face-to-face professional development (PD) is challenging. Our study developed and compared the effectiveness of an online PD for middle-school science teachers working in remote, rural areas of Kansas with an evidence-based traditional face-to-face PD with the goal of supporting change in teachers’ conceptual understanding and self-efficacy in utilizing Next Generation Science Standards (NGSS), change in instructional practices, and overall student content learning.

Teacher noticing scholars are just beginning to explore how to support noticing that is responsive to students' cultural resources. The theoretical basis of the teacher noticing literature affords scholars a range of paths for understanding student resources, only some of which are described in the literature. In this article, we offer a conceptual model showing how the theoretical roots related to teacher noticing and responsive teaching (N/RT) are closely aligned with theories foundational to culturally sustaining pedagogy (CSP).

Educational policies exist as part of complex systems of many policies, all of which science teachers must make sense before using in practice. Using Actor-Network Theory to view policy translation in assemblages, we examine how networked actors mediate teachers’ policy play.

Global climate change (GCC) is one of the greatest challenges of our age and a highly significant socio-scientific issue (SSI). Developing secondary students’ understanding about the Earth’s climate and GCC is critical for empowering future citizens and a key focus of the Next Generation Science Standards. In this cross-sectional study, we investigated secondary students’ evidence-based reasoning about GCC grounded in a curricular intervention involving the use of a data-driven, computer-based global climate model—EzGCM—over 3 years with four teachers who adapted the module in their own courses.

Global climate change (GCC) is one of the greatest challenges of our age and a highly significant socio-scientific issue (SSI). Developing secondary students’ understanding about the Earth’s climate and GCC is critical for empowering future citizens and a key focus of the Next Generation Science Standards. In this cross-sectional study, we investigated secondary students’ evidence-based reasoning about GCC grounded in a curricular intervention involving the use of a data-driven, computer-based global climate model—EzGCM—over 3 years with four teachers who adapted the module in their own courses.

Science education literature has highlighted socio-scientific issues (SSI) as an effective pedagogy for teaching science in a social and political context. SSI links science education and real-world problems to engage students in real-world issues, making it ideal for teaching global climate change (GCC). Additionally, technological advances have created a unique opportunity for teaching climate by making previously inaccessible computer-based computational models and data visualizations accessible to the typical K-12 learning environment. Here, we present the findings from the 2020–2021 school year pre-/post-implementation of a 3-week, model-based climate education curriculum module (EzGCM).

Science education literature has highlighted socio-scientific issues (SSI) as an effective pedagogy for teaching science in a social and political context. SSI links science education and real-world problems to engage students in real-world issues, making it ideal for teaching global climate change (GCC). Additionally, technological advances have created a unique opportunity for teaching climate by making previously inaccessible computer-based computational models and data visualizations accessible to the typical K-12 learning environment. Here, we present the findings from the 2020–2021 school year pre-/post-implementation of a 3-week, model-based climate education curriculum module (EzGCM).

Science identity development begins in school-aged years, when multilingual students (MLs) are often marginalised in the classroom due to language challenges and low expectations placed on them. This descriptive multiple case study explores the science identities expressed by six US high school MLs in their biology classrooms.

This qualitative study examines how a group of undergraduate and graduate students in an upper-level ecosystem ecology course at a research university in the southeastern part of the United States engage in a task that requires constructing an abstract representation of how biogeochemical cycles work by using a specific approach to modelling, namely synthesis modelling.