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Despite decades of research regarding best practices for the teaching and learning of chemistry, as well as two sets of national reform documents for science education, classroom instruction in high school chemistry classrooms remains largely unchanged. One key reason for this continued gap between research and practice is a reliance on traditional, prescriptive professional development (PD) in place of PD that focuses on changing teachers’ ideas and beliefs. The former view treats teachers as technicians, workers who are supposed to follow a manual to produce student results.

Kinematics is a topic students are unknowingly aware of well before entering the physics classroom. Students observe motion on a daily basis. They are constantly interpreting and making sense of their observations, unintentionally building their own understanding of kinematics before receiving any formal instruction. Unfortunately, when students take their prior conceptions to understand a new situation, they often do so in a way that inaccurately connects their learning.

The purpose of this study was to compare the ability of different instruments, independently developed and traditionally used for measuring science teachers’ beliefs in short-term interventions, to longitudinally measure teachers’ changing beliefs.

This paper describes a guided-inquiry activity designed for the first week of a first-year high school chemistry course. Students manipulated magnetic models of atoms in depicting air and learned to connect the three domains of chemistry: macroscopic, symbolic, and particulate. The purpose of the activity was 2-fold: to remediate misconceptions of foundational chemical concepts such as atoms, molecules, compounds, subscripts, and coefficients; and to help students begin to think in the particulate domain of Johnstone’s triangle when studying chemistry.

Demand for computer scientists is robust, but the pipeline for producing them is not. US universities are only meeting about a third of demand for computer scientists, and recruiting a diverse student body is a struggle; the number of women in computer science has actually declined in the past decade. To help change the perception of the computing field, researchers at Georgia Institute of Technology developed EarSketch. EarSketch is an authentic STEAM (STEM + Arts) environment for teaching and learning programming (i.e.

Pervasive definitions of live coding in music focus on the simultaneous modification and execution of code in a live performance setting where a performer shares his screen with the audience. This article considers a role for live coding that does not focus on live performance but rather on educational contexts.

This article presents EarSketch, a learning environment that combines computer programming with sample-based music production to create a computational remixing environment for learning introductory computing concepts. EarSketch has been employed in both formal and informal settings, yielding significant positive results in student content knowledge and attitudes toward computing as a discipline, especially in ethnic and gender populations that are currently underrepresented in computing fields.

This report gives an overview of a principled approach to designing assessment tasks that can generate valid evidence of students’ abilities to think computationally. Principled assessment means designing assessment tasks to measure important knowledge and practices by specifying chains of evidence that can be traced from what students do (observable behaviors) to claims about what they know.

Noticing students' mathematical thinking is a key element of effective instruction, but novice teachers do not naturally engage in this practice. Prospective secondary school mathematics teachers were engaged in an intervention grounded in analysis of minimally edited video from local secondary school mathematics classrooms; the goal was to support their ability to notice important student thinking within the complexity of instruction.

From a social semiotic perspective, students’ use of language is fundamental to mathematical meaning making. We applied thematic analysis to examine students’ use of geometric and contextual ideas while solving a geometry problem that required them to determine the optimal location for a new grocery store on a map of their local community. Students established semantic patterns to connect the problem context to geometry.