How do we design small meaningful suggestions for instructional improvement that are easy to implement, rooted in teachers' existing practice, and have a high rate of uptake? That's the question we explore on this poster.
Illinois Physics and Secondary Schools (IPaSS) is a partnership between the University of Illinois Physics Department and 40 high school physics teachers representing 38 schools across Illinois. The holistic goal of the program is to develop a physics teaching Community of Practice that supports high school physics teachers from diverse school contexts in the design and implementation of high-quality, university-aligned instructional materials, such that their students experience fewer barriers in transitions to post-secondary STEM programs.
The Taking a Deep Dive (TaDD) study examines the residual impacts of four different professional development models on teacher learning, specifically 3-4 years after the actual PD experiences. The project is conducting a rigorous cross case analysis across participants from the different projects. Additionally, a survey was given to participants in May 2019 which was 3-4 years after their PD experience. Findings contribute to the PD landscape of PD design and survey design.
This project is developing the first Internet of Things based pedagogical ecosystem for 9-12 CS and STEM classes. This project has focused on identifying critical elements for effective instructional design for CS and SE education by understanding student and teacher motivation. A key innovation of this effort has been the low-cost, IoT-hardware kits for project-based learning to create a hands-on experience in the classroom.
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.
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.
This project developed a system of practical measures, and associated routines and data visualizations, to support the implementation of instructional improvement strategies (e.g., coaching) in middle-grades mathematics teaching. Classroom and professional learning measures assess students’ and teachers’ perspectives of key aspects of the learning environment, respectively. We will highlight the contributions they have made to our partner districts’ improvement efforts; and our attention to validity in the design and use of practical measures.
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.
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.
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.
