Middle

Teaching about wave structure and function is a critical element of any physical science curriculum and supported by Next Generation Science Standards (NGSS) PS4: Waves and Their Applications in Technologies for Information Transfer. Often, instruction focused on these concepts involves identifying and describing several aspects of wave structure, including amplitude, frequency, and wavelength. To support students’ learning of these ideas, teachers often rely on developing graphic models of a wave with students identifying different aspects of wave structure. To enhance this experience, some teachers employ readily available simulations from trusted websites, such as PhET or Netlogo. Digital resources are valuable tools that teachers can use to support students’ science understanding through manipulating elements of digitally constructed scientific models. These approaches to teaching promote students’ engagement in the practice of designing (drawing a wave) and using scientific models (working with a simulation). To expand upon these resources, we developed a series of instructional activities that deepen students’ conceptual understanding of waves by engaging in computational thinking while developing and using scientific and mathematical models.

Achieving data literacy is challenging when schools narrowly focus on statistical reasoning rather than on meaning- and inference-making. Without attention to the social contexts of data, learners can fail to develop a critical stance toward data, to understand the nature and production of data, the questions that it can answer, and the ways that data can be used to inform and misinform. We explore art as an accessible and personally relevant approach to developing middle school students’ data literacy.

Achieving data literacy is challenging when schools narrowly focus on statistical reasoning rather than on meaning- and inference-making. Without attention to the social contexts of data, learners can fail to develop a critical stance toward data, to understand the nature and production of data, the questions that it can answer, and the ways that data can be used to inform and misinform. We explore art as an accessible and personally relevant approach to developing middle school students’ data literacy.

Achieving data literacy is challenging when schools narrowly focus on statistical reasoning rather than on meaning- and inference-making. Without attention to the social contexts of data, learners can fail to develop a critical stance toward data, to understand the nature and production of data, the questions that it can answer, and the ways that data can be used to inform and misinform. We explore art as an accessible and personally relevant approach to developing middle school students’ data literacy.

We explore the implementation of a co-designed data-dance unit in which middle school students created their own embodied metaphors to represent and communicate about graphs through dance. In analyzing dance artifacts and post-study interviews with the learners and teachers, we demonstrate how the creation of embodied metaphors in dance led to new ways of exploring the data as learners reflected on different perspectives on topics across numerical values, contexts, and implications.

We explore the implementation of a co-designed data-dance unit in which middle school students created their own embodied metaphors to represent and communicate about graphs through dance. In analyzing dance artifacts and post-study interviews with the learners and teachers, we demonstrate how the creation of embodied metaphors in dance led to new ways of exploring the data as learners reflected on different perspectives on topics across numerical values, contexts, and implications.

We explore the implementation of a co-designed data-dance unit in which middle school students created their own embodied metaphors to represent and communicate about graphs through dance. In analyzing dance artifacts and post-study interviews with the learners and teachers, we demonstrate how the creation of embodied metaphors in dance led to new ways of exploring the data as learners reflected on different perspectives on topics across numerical values, contexts, and implications.

Effective data literacy instruction requires that learners move beyond understanding statistics to being able to humanize data through a contextual understanding of argumentation and reasoning in the real-world. In this paper, we explore the implementation of a co-designed data comic unit about adolescent friendships.

Effective data literacy instruction requires that learners move beyond understanding statistics to being able to humanize data through a contextual understanding of argumentation and reasoning in the real-world. In this paper, we explore the implementation of a co-designed data comic unit about adolescent friendships.

Effective data literacy instruction requires that learners move beyond understanding statistics to being able to humanize data through a contextual understanding of argumentation and reasoning in the real-world. In this paper, we explore the implementation of a co-designed data comic unit about adolescent friendships.