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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. Drawing on ethnographic methods and post-structural analytic tools, we identified four mediating actors: espoused practices, learning events, administrator relationships, and communities of practice.

A 10-week, energy literacy curriculum unit for 6th grade students. Students will study energy use and transfer in their own school buildings. They will explore how Earth systems supply renewable and nonrenewable energy, and how these energy sources are transformed and transferred from Earth systems to a school building to meet its daily energy requirements.

A 10-week, energy literacy curriculum unit for 6th grade students. Students will study energy use and transfer in their own school buildings. They will explore how Earth systems supply renewable and nonrenewable energy, and how these energy sources are transformed and transferred from Earth systems to a school building to meet its daily energy requirements.

Artificial Intelligence (AI) is prevalent in nearly every aspect of our lives. However, recent studies have found a significant amount of confusion and misunderstanding surrounding AI. To develop effective educational programs in the field of AI, it is vital to examine and understand learners' pre- and misconceptions as well as myths about AI. This study examined a corpus of 591 studies.

This article pilots ChatGPT in tackling the most challenging part of science learning and found it successful in automation of assessment development, grading, learning guidance, and recommendation of learning materials.

Zhai, X. (2023). ChatGPT for Next Generation Science Learning | XRDS: Crossroads, 29(3), 42-46. https://doi.org/10.1145/3589649

When integrated into online curriculum modules for students, educative curriculum materials (ECMs) can enhance teachers’ enactment of these modules. This study investigated (1) the use of digitally enhanced ECMs built into an online plate tectonics curriculum module by teachers with different backgrounds and teaching experience, (2) the relationship between teachers’ use of ECMs and student learning gains, and (3) teacher reflections on the value of the ECMs they used.

This webinar provided early career data science education researchers with information on the state of the field; tools, curricula, and other resources for researchers; and insight into funding opportunities and proposal development. Participants explore topics, research interests, and problems of practice in more depth in breakout rooms with session leaders.

Although prior research has highlighted the significance of representations for mathematical learning, there is still a lack of research on how students use multimodal external representations (MERs) to solve mathematical tasks in digital game-based learning (DGBL) environments. This exploratory study was to examine the salient patterns problem solvers demonstrated using MERs when they engaged in a single-player, three-dimensional architecture game that requires the acquisition and application of math knowledge and thinking in game-based context problem solving.