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In conversations about pedagogy, researchers often overlook how physical space and movement shape teacher sensemaking. This article offers a comparative case study of classroom videos using a dynamic visual method to map embodied interaction called “interaction geography.” Our analysis proposes an integrative framework to study classroom interactions and teacher movement over space and time comprised of four salient characteristics within lessons: trails, landmarks, material routines, and circulation patterns.

Evaluation of plausible alternative explanations of scientific phenomena is an authentic scientific activity. Instructional scaffolding can facilitate students’ engagement in such evaluations by facilitating their reflections on how well various lines of scientific evidence support alternative explanations. In the present study, we examined two forms of such scaffolding, with one form providing more autonomy support than the other, to determine whether any differential effects existed between the two.

Evaluation of plausible alternative explanations of scientific phenomena is an authentic scientific activity. Instructional scaffolding can facilitate students’ engagement in such evaluations by facilitating their reflections on how well various lines of scientific evidence support alternative explanations. In the present study, we examined two forms of such scaffolding, with one form providing more autonomy support than the other, to determine whether any differential effects existed between the two.

From the experiential learning perspective, this study investigates middle and high school students (n = 1009) who used an online module to learn about wildfire hazards, risks, and impacts through computational simulations of wildfire phenomena. These students were taught by 18 teachers in urban, rural, and suburban schools across the United States. We analyzed students’ simulation behaviors captured in log files, responses to an assessment administered before and after the module, and demographic surveys, as well as teachers’ responses to a post-module implementation survey.

Mathematics education research tends to center on what Mathematics Teacher Educators-Researchers (MTERs) work on or the people (teachers and students) they work with. Rarely, research in mathematics education focuses on MTERs working with one another. This article decenters from these traditional foci and instead examines a heterogeneous group of MTERs describing their research collaborations for professional development efforts on social justice issues in mathematics education.

In this paper, we introduce an epistemic scaffolding framework for understanding the nature of support for epistemic growth in science. Our framework distinguishes between two patterns of epistemic scaffolding: implicit and explicit. Implicit epistemic scaffolding encompasses support integrated into contexts, activities, discourse, or tools, exerting an unconscious influence on learners’ epistemic thinking and practices. On the other hand, explicit epistemic scaffolding involves intentionally explicating the underlying epistemology of learners’ knowledge work.

This article explores science teachers’ implementation of science and engineering practices (SEPs) under different instructional settings. We compared the number of SEPs science teachers reported using in face-to-face instruction (traditional), online-only instruction (virtual), or HyFlex instruction (synchronously online and in-person) from August 2020 to May 2021. Records and artefacts of the teachers’ instructional practices were collected over three one-week periods.

In a traditional lecturing environment, students possess limited agency in accepting or rejecting information provided by teachers. A higher level of student agency involves opportunities and actively identifying uncertainties and collaborating with peers to deepen understanding within the classroom community. Teachers play a crucial role in guiding students through sensemaking by addressing uncertainties and assisting in solution development. Student uncertainty is recognized as a pedagogical resource, engaging them in sensemaking and enhancing agency levels.

The ability for an educational game designer to understand their audience's play styles and resulting experience is an essential tool for improving their game's design. As a game is subjected to large-scale player testing, the designers require inexpensive, automated methods for categorizing patterns of player-game interactions. In this paper we present a simple, reusable process using best practices for data clustering, feasible for use within a small educational game studio.

The ability for an educational game designer to understand their audience's play styles and resulting experience is an essential tool for improving their game's design. As a game is subjected to large-scale player testing, the designers require inexpensive, automated methods for categorizing patterns of player-game interactions. In this paper we present a simple, reusable process using best practices for data clustering, feasible for use within a small educational game studio.