Science

Learning about Viral Epidemics through Engagement with Different Types of Models

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This project explores students learning about viral epidemics while engaging in scientific modeling. Given the multi-dimensional nature of complex issues, using different types of models is critical for robust learning about issues like pandemics. We focus on how learners coordinate sense-making across different models. Project goals include: 1) Promote learning about viral epidemics through modeling. 2) Research learning about viral epidemics and optimal ways to support student engagement with different types of models.

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Incorporating Professional Science Writing into High School STEM Research Projects

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The Journal of Emerging Investigators provides middle and high school students an opportunity to participate in a peer review and publication of their original manuscript.

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Improving the Teaching of Genetics in High School to Avoid Instilling Misconceptions About Gender Differences (Collaborative Research: Donovan)

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This project will study the aspects of genetics instruction that affect students' beliefs in gender essentialism, which is implicated in lowering girls' sense of STEM abilities, feeling of belonging in STEM classes, and interest in pursuing further education in STEM fields. The goal of the project is to answer important questions about how to teach genetics at the high school level in a manner that is scientifically accurate but does not have these detrimental side effects.

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How Deep Structural Modeling Supports Learning with Big Ideas in Biology

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The Deep Structure Modeling (DSM) project addresses the pressing need to more effectively organize science teaching and learning around “big ideas” that run through disciplines. The project focus on developing knowledge around how centering science instruction on big ideas can position students in epistemically meaningful scientific evaluation, through synthesizing big ideas from phenomena and using big ideas as tools to analyze phenomena.

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GeoHazard: Modeling Natural Hazards and Assessing Risks

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The rock cycle is rarely taught in conjunction with plate tectonics. The method of studying images of rock outcrops is not enough to explain how rocks are formed and transformed over time. This project has developed a simulation for students to investigate the formation and evolution of rock sequences created under specific tectonic conditions. By bridging the tectonic system and the rock genesis system, students engage in scientific practices that are authentic to how geoscientists’ work.

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Fostering Computational Thinking Through Neural Engineering Activities in High School Biology Classes

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Computational thinking (CT) is critical in all STEM fields, but it is typically not integrated in STEM courses beyond computer science. To address this gap, our project team is developing a month-long CT-intensive biology unit, where students learn to program a robotic gripper to respond to changes in their electrical muscle activity. This provides a novel, interdisciplinary, and real-world context for students to develop their CT.

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Facilitating Teacher Learning with Video Clips of Instruction in Science

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The project aims to build foundational knowledge about teacher learning to notice teaching and student thinking in new ways by using video clips of science instruction within a professional development context. Professional development is centered around the analysis of video clips depicting the implementation of three-dimensional performance assessments in science classrooms, and draws on cognitive science to enhance teacher learning from video (these include contrasting cases and self-explanation principles).

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Extending and Investigating the Impact of the High School Model-based Educational Resource (Collaborative Research: Wilson)

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This project examines the efficacy of the Model-Based Educational Resource (MBER) for high-school biology teachers and students. Previous work on MBER has found that the materials support teachers in providing opportunities for engaging student sensemaking and modeling, are feasible to implement in diverse classroom contexts, and show promise of efficacy in increasing student achievement. With this project we are generating causal evidence investigating how this approach to teaching and learning supports Next Generation Science learning.

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Extending and Investigating the Impact of the High School Model-based Educational Resource (Collaborative Research: Passmore)

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This project examines the efficacy of the Model-Based Educational Resource (MBER) for high-school biology teachers and students. Previous work on MBER has found that the materials support teachers in providing opportunities for engaging student sensemaking and modeling, are feasible to implement in diverse classroom contexts, and show promise of efficacy in increasing student achievement. With this project we are generating causal evidence investigating how this approach to teaching and learning supports Next Generation Science learning.

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Evaluating Effects of Automatic Feedback Aligned to a Learning Progression to Promote Knowledge-In-Use

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This project builds on existing work on three-dimensional learning progressions in high school physical sciences to develop an artificial intelligence supported scoring system for student text and models. These tools will be used to support learning of electrical forces in an integrated curriculum with real-time feedback on formative assessment items. We report on early attempts to design coding rubrics for automatic scoring of explanations and modeling responses and outcomes of developing text classification models.

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