It seems like there are new tech and social media tools coming out every day. So what’s out there? And how can these tools be used to enhance your work?
Engaging students in scientific modeling practice is critical for developing their competence in using scientific knowledge to explain phenomena and design solutions. Student-drawn models are frequently used to investigate students’ proficiency in scientific modeling. However, scoring student-drawn models is time-consuming and requires technical expertise. The recently released GPT-4V(ision) provides a unique opportunity to facilitate the automatic scoring of scientific models with its image classification capability.
Engaging students in scientific modeling practice is critical for developing their competence in using scientific knowledge to explain phenomena and design solutions. Student-drawn models are frequently used to investigate students’ proficiency in scientific modeling. However, scoring student-drawn models is time-consuming and requires technical expertise. The recently released GPT-4V(ision) provides a unique opportunity to facilitate the automatic scoring of scientific models with its image classification capability.
An essential aspect of mathematics teacher education is the development of professional noticing. A 360 video is a new technology that can aid in developing mathematical teacher noticing. This study examines the relationship between preservice teachers' noticing of mathematical student thinking and the variation in their physical focusing behavior of 360 videos. Researchers used a convergent mixed methods design to examine the level of professional noticing with participants' 360 video viewing behavior.
An essential aspect of mathematics teacher education is the development of professional noticing. A 360 video is a new technology that can aid in developing mathematical teacher noticing. This study examines the relationship between preservice teachers' noticing of mathematical student thinking and the variation in their physical focusing behavior of 360 videos.
The Concord Consortium is proud to announce a new grant from the National Science Foundation for our Intelligent Simulation-based Learning About Natural Disasters (ISLAND) project. ISLAND will harness the power of artificial intelligence to help middle school students explore wildfires, floods, and hurricanes through scientific simulations—building critical knowledge and science practices for understanding and responding to natural hazards.
The Concord Consortium is proud to announce a new grant from the National Science Foundation for our Intelligent Simulation-based Learning About Natural Disasters (ISLAND) project. ISLAND will harness the power of artificial intelligence to help middle school students explore wildfires, floods, and hurricanes through scientific simulations—building critical knowledge and science practices for understanding and responding to natural hazards.
Students benefit from having opportunities to explore extensive, complex datasets using technology tools that are intuitive and accessible. Likewise, middle school teachers require convenient access to captivating datasets, supportive resources, and classroom-appropriate software. We developed two CODAP (Common Online Data Analysis Platform) plugins that allow students to engage with data about their daily lives, build their data fluency, and answer questions about Earth’s systems. These plugins support the three-dimensional learning approach central to the NGSS.
Students benefit from having opportunities to explore extensive, complex datasets using technology tools that are intuitive and accessible. Likewise, middle school teachers require convenient access to captivating datasets, supportive resources, and classroom-appropriate software. We developed two CODAP (Common Online Data Analysis Platform) plugins that allow students to engage with data about their daily lives, build their data fluency, and answer questions about Earth’s systems. These plugins support the three-dimensional learning approach central to the NGSS.
Data science, as a multidisciplinary field, has gained considerable interest in K-12 education. Prior research has explored innovative ways to introduce data science to young learners, emphasizing not only the development of data skills but also the connection of data science to students’ authentic inquiries and critical actions.
Prior research has explored innovative ways to introduce data science to young learners, emphasizing not only the development of data skills but also the connection of data science to students’ authentic inquiries and critical actions. Building on this foundation, this study aims to achieve two complementary goals: integrating Knowledge Building, a well-established pedagogical approach, into K-12 data science education, and enhancing students’ epistemic agency through data practices in knowledge building.
As use of artificial intelligence (AI) has increased, concerns about AI bias and discrimination have been growing. This paper discusses an application called PyrEval in which natural language processing (NLP) was used to automate assessment and provide feedback on middle school science writing without linguistic discrimination. Linguistic discrimination in this study was operationalized as unfair assessment of scientific essays based on writing features that are not considered normative such as subject-verb disagreement.
As use of artificial intelligence (AI) has increased, concerns about AI bias and discrimination have been growing. This paper discusses an application called PyrEval in which natural language processing (NLP) was used to automate assessment and provide feedback on middle school science writing without linguistic discrimination.
As use of artificial intelligence (AI) has increased, concerns about AI bias and discrimination have been growing. This paper discusses an application called PyrEval in which natural language processing (NLP) was used to automate assessment and provide feedback on middle school science writing without linguistic discrimination. Linguistic discrimination in this study was operationalized as unfair assessment of scientific essays based on writing features that are not considered normative such as subject-verb disagreement.
As use of artificial intelligence (AI) has increased, concerns about AI bias and discrimination have been growing. This paper discusses an application called PyrEval in which natural language processing (NLP) was used to automate assessment and provide feedback on middle school science writing without linguistic discrimination.
Engineering design that requires mathematical analysis, scientific understanding, and technology is critical for preparing students for solving engineering problems. In simulated design environments, students are expected to learn about science and engineering through their design. However, there is a lack of understanding concerning linking science concepts with design problems to design artifacts.
Engineering design that requires mathematical analysis, scientific understanding, and technology is critical for preparing students for solving engineering problems. In simulated design environments, students are expected to learn about science and engineering through their design. However, there is a lack of understanding concerning linking science concepts with design problems to design artifacts. This study investigated how 99 high school students applied science concepts to solarize their school using a computer-aided engineering design software, aiming to explore the interaction between students’ science concepts and engineering design behaviors.
Engineering design that requires mathematical analysis, scientific understanding, and technology is critical for preparing students for solving engineering problems. In simulated design environments, students are expected to learn about science and engineering through their design. However, there is a lack of understanding concerning linking science concepts with design problems to design artifacts.
Engineering design that requires mathematical analysis, scientific understanding, and technology is critical for preparing students for solving engineering problems. In simulated design environments, students are expected to learn about science and engineering through their design. However, there is a lack of understanding concerning linking science concepts with design problems to design artifacts. This study investigated how 99 high school students applied science concepts to solarize their school using a computer-aided engineering design software, aiming to explore the interaction between students’ science concepts and engineering design behaviors.
