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The Innovate to Mitigate (I2M) project poses challenges for secondary-school students to design feasible, innovative strategies that mitigate CO2 emissions and thus global warming. Design is informed by research on problem-based learning, pedagogy for which poses demands on teachers. This paper presents preliminary evidence about how I2M teachers supported student teams to engage in science and engineering practices.

Teacher–teacher feedback is an important feature of professional learning. However, deeply ingrained socio-pedagogical norms may affect both the nature and content of feedback, constraining its effectiveness. Prior studies have reported that avoiding critique and providing excessively generic information can hinder pedagogical inquiry and adoption of reform-based instruction. To better understand the nuances of socio-pedagogical norms for chemistry-specific settings, we investigate the conversational functions and the ways in which teacher–teacher feedback addresses macroscopic, symbolic, and particulate levels of representation within lessons they experienced as students.

The authors are developing a model for rural science teacher professional development, building teacher expertise and collaboration and creating high-quality science lessons: technology-mediated lesson study (TMLS).

This study examines secondary mathematics teachers’ anticipations of student responses related to a series of cognitively demanding mathematics tasks from multiple mathematical domains presented in the context of voluntary and asynchronous online professional development modules.

This study aimed to examine an assumption regarding whether generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans suffer when solving problems. We examine the performance of ChatGPT and GPT-4 on NAEP science assessments and compare their performance to students by cognitive demands of the items.

This study aimed to examine an assumption regarding whether generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans suffer when solving problems. We examine the performance of ChatGPT and GPT-4 on NAEP science assessments and compare their performance to students by cognitive demands of the items.

Foregrounding climate education in formal science learning environments provides students with opportunities to develop critical climate-related knowledge and skills. However, research has shown many challenges to teaching and learning about Earth’s climate and global climate change (GCC). This longitudinal study aims to establish how secondary science teachers, over time, implement model-based climate curricula in support of students’ climate and GCC education by utilizing EzGCM. The model (EzGCM) is a data-driven, computer-based climate modeling tool use to explore global climate data.

Foregrounding climate education in formal science learning environments provides students with opportunities to develop critical climate-related knowledge and skills. However, research has shown many challenges to teaching and learning about Earth’s climate and global climate change (GCC). This longitudinal study aims to establish how secondary science teachers, over time, implement model-based climate curricula in support of students’ climate and GCC education by utilizing EzGCM. The model (EzGCM) is a data-driven, computer-based climate modeling tool use to explore global climate data.

Reform efforts in science and mathematics education highlight students’ experiences and sensemaking repertoires as valuable resources for instruction. Yet, there is much to learn about how to cultivate teachers’ capacity for eliciting, understanding, and responding to students’ contributions. We argue that the first step of this cultivation is teachers’ learning to listen: to attune and attend to the novel ways that students make sense of scientific phenomena and the natural world.

Our research explores possibilities for cultivating new spaces for preservice secondary science teachers to engage in science. In a content-focused education course, we designed for and studied preservice teachers' engagement in expansive and connective sensemaking, incorporating heterogeneity, power, and historicity in pursuits of explanatory accounts of the natural world. In this article, we examined how this course design can support preservice teachers to attune to heterogeneity in ways of knowing in science and to connect to identity and historicity in scientific sensemaking.