Science

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.

Science education is an important component of a full education beginning in primary grades. In recent decades, research has identified young learners’ rich knowledge of the natural world and their potential to connect with sophisticated science ideas. Elementary teachers face many challenges to implementing reform-based science instruction in their classrooms. Some teachers may choose to enhance their students’ science experiences by introducing them to citizen science (CS) projects.

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.

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.

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This Citizen Science Guide provides specific guidance on identifying relevant citizen science projects that fits an educators' curricular and instructional needs.