Middle

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.

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.

Our 5D assessment development process is eight phases, each with a clear goal and tools to support task development. The tools and processes are combined in the 5D Assessment Development Tool for easy access from a single source.

Online plotter for historical data and student data collected using the Emery Method for beach profiling.

Repository of project simulation tasks and data.

Apps for examining proportional relationships of various kinds.