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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.

Arts-integration is a promising approach to building students’ abilities to create and critique arguments with data, also known as informal inferential reasoning (IIR). However, differences in disciplinary practices and routines, as well as school organization and culture, can pose barriers to subject integration. The purpose of this study is to describe synergies and tensions between data science and the arts, and how these can create or constrain opportunities for learners to engage in IIR.

Arts-integration is a promising approach to building students’ abilities to create and critique arguments with data, also known as informal inferential reasoning (IIR). However, differences in disciplinary practices and routines, as well as school organization and culture, can pose barriers to subject integration. The purpose of this study is to describe synergies and tensions between data science and the arts, and how these can create or constrain opportunities for learners to engage in IIR.

Arts-integration is a promising approach to building students’ abilities to create and critique arguments with data, also known as informal inferential reasoning (IIR). However, differences in disciplinary practices and routines, as well as school organization and culture, can pose barriers to subject integration. The purpose of this study is to describe synergies and tensions between data science and the arts, and how these can create or constrain opportunities for learners to engage in IIR.

We investigated how the level of variance in students’ prior knowledge may have influenced their collaborative interactions and science learning in small groups. We examined learning outcomes from 102 groups from seven science teachers’ classes and discourse from two contrasting groups: Homogeneous versus heterogeneous. We examined individual and group outcomes using hierarchical linear modeling (HLM) to explore the effect of membership in a homogeneous or heterogeneous group on students’ learning. We then used social network analyses (SNA) to identify any differences in interaction patterns between the two contrasting groups as they conducted multiple compost simulations. Finally, we examined students’ discussions in these groups to better understand their interactions.

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.

We developed an analytic framework related to the suggestions coaches provided to mathematics teachers as they engaged in content-focused coaching cycles. We analyzed 712 suggestions from nine coaches and 58 coaching conversations. Analysis focused on what the suggestion entailed and how suggestions were made.

This study concerns the cognitive process of mathematical problem posing, conceptualized in three stages: understanding the task, constructing the problem, and expressing the problem. We used the eye tracker and think-aloud methods to deeply explore students’ behavior in these three stages of problem posing, especially focusing on investigating the influence of task situation format and mathematical maturity on students’ thinking.

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.