Puttick, G., Drayton, B., & Gasca, S. (2023). Open innovation challenge to mitigate global warming. Connected Science Learning, 5(5).
Open innovation challenge to mitigate global warming.
The Innovate to Mitigate (I2M) project poses challenges for secondary-school students to design feasible, innovative strategies that mitigate CO2 emissions and thus global warming. Design is informed by research on problem-based learning, pedagogy for which poses demands on teachers. This paper presents preliminary evidence about how I2M teachers supported student teams to engage in science and engineering practices.
The Innovate to Mitigate (I2M) project poses challenges for secondary-school students to design feasible, innovative strategies that mitigate CO2 emissions and thus global warming. Design is informed by research on problem-based learning, pedagogy for which poses demands on teachers. This paper presents preliminary evidence about how I2M teachers supported student teams to engage in science and engineering practices.
The Innovate to Mitigate (I2M) project poses challenges for secondary-school students to design feasible, innovative strategies that mitigate CO2 emissions and thus global warming. Design is informed by research on problem-based learning, pedagogy for which poses demands on teachers. This paper presents preliminary evidence about how I2M teachers supported student teams to engage in science and engineering practices.
The Innovate to Mitigate (I2M) project poses challenges for secondary-school students to design feasible, innovative strategies that mitigate CO2 emissions and thus global warming. Design is informed by research on problem-based learning, pedagogy for which poses demands on teachers. This paper presents preliminary evidence about how I2M teachers supported student teams to engage in science and engineering practices.
In this article we introduce a National Science Foundation-funded research project called TecRocks that has developed new interactive simulations and an innovative online curriculum module that weaves rock formation and plate tectonics together such that secondary teachers and students can approach these two topics as integrated systems. In the 2022-23 school year, the curriculum was implemented in middle and high school classrooms across the United States.
In this article we introduce a National Science Foundation-funded research project called TecRocks that has developed new interactive simulations and an innovative online curriculum module that weaves rock formation and plate tectonics together such that secondary teachers and students can approach these two topics as integrated systems.
This study applied the many-facet Rasch measurement (MFRM) to assess students’ knowledge-in-use in middle school physical science. 240 students completed three knowledge-in-use classroom assessment tasks on an online platform. We developed transformable scoring rubrics to score students’ responses, including a task-generic polytomous rubric (applicable to the three tasks), a task-specific polytomous rubric (for each task), and a task-specific dichotomous rubric (for each task). Three qualified raters scored 240 students’ responses to the three tasks.
This study applied the many-facet Rasch measurement (MFRM) to assess students’ knowledge-in-use in middle school physical science.
Purpose
The authors are developing a model for rural science teacher professional development, building teacher expertise and collaboration and creating high-quality science lessons: technology-mediated lesson study (TMLS).
The authors are developing a model for rural science teacher professional development, building teacher expertise and collaboration and creating high-quality science lessons: technology-mediated lesson study (TMLS).
We explored the semiotic choices children in grades 1–6 made that nurtured embodied, dramatizing performances in science classes at urban public schools, serving predominantly students of color in a large US city. We studied how such choices in school and home settings (when instruction was remote during the COVID-19 pandemic) were implicated in the children’s knowledge and identity construction and related to available resources and positionings.
We explored the semiotic choices children in grades 1–6 made that nurtured embodied, dramatizing performances in science classes at urban public schools, serving predominantly students of color in a large US city. We studied how such choices in school and home settings (when instruction was remote during the COVID-19 pandemic) were implicated in the children’s knowledge and identity construction and related to available resources and positionings.
This study aimed to examine an assumption regarding whether generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans suffer when solving problems. We examine the performance of ChatGPT and GPT-4 on NAEP science assessments and compare their performance to students by cognitive demands of the items. Fifty-four 2019 NAEP science assessment tasks were coded by content experts using a two-dimensional cognitive load framework, including task cognitive complexity and dimensionality.
This study aimed to examine an assumption regarding whether generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans suffer when solving problems. We examine the performance of ChatGPT and GPT-4 on NAEP science assessments and compare their performance to students by cognitive demands of the items.
This study aimed to examine an assumption regarding whether generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans suffer when solving problems. We examine the performance of ChatGPT and GPT-4 on NAEP science assessments and compare their performance to students by cognitive demands of the items. Fifty-four 2019 NAEP science assessment tasks were coded by content experts using a two-dimensional cognitive load framework, including task cognitive complexity and dimensionality.
This study aimed to examine an assumption regarding whether generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans suffer when solving problems. We examine the performance of ChatGPT and GPT-4 on NAEP science assessments and compare their performance to students by cognitive demands of the items.
Purpose
Arts-integration is a promising approach to building students’ abilities to create and critique arguments with data, also known as informal inferential reasoning (IIR). However, differences in disciplinary practices and routines, as well as school organization and culture, can pose barriers to subject integration. The purpose of this study is to describe synergies and tensions between data science and the arts, and how these can create or constrain opportunities for learners to engage in IIR.
