Educational Technology

A challenge in teaching real-world computational thinking is that the thought process of solving a concrete problem can easily escalate into a complex mental model consisting of many abstract, intertwined moving parts that are often difficult for students to imagine and think through, preventing them from sorting out a solution and building up self-efficacy. Externalizing such a complicated mental process step by step through drawing representational diagrams piece by piece can be cognitively offloading.

The broader goal of our DRK-12 project is to develop and test whether simulated classroom experience with students with disabilities can improve elementary general educators' preparedness to support these students in mathematics. To support the tools' development, we have interviewed 22 leading mathematics and special educators to unearth tensions and points of convergence in how the respective fields conceptualize mathematics instruction. The poster will discuss implications of these findings for teacher preparation and development.

Every student should have the chance to experience the exciting practice of science. But far too often, students encounter only highly structured “cookbook” labs in their science classrooms. InquirySpace combines a software environment that integrates sensors, simulations, and data exploration capabilities with instructional guidance, and helps students move from fundamental data analysis and scaffolded experiments to open experiments of their own design.

Co-PI(s): Daniel Damelin and Hee-Sun Lee, Concord Consortium; Sam Gweon, Physics Front

We share the conception, design, and some activities from a curriculum based on the use of a global climate model EzGCM in secondary geoscience classrooms. Implemented through the NSF-funded CLiMES (Climate Literacy through Modeling and Epistemology of Science) project, this curriculum facilitated in-depth understanding of climate literacy concepts through model-based reasoning.

Co-PI(s): Mark Chandler, Columbia University

This project aims to investigate needs and challenges in developing an informed public able to evaluate empirical evidence generated from scientific activities. This includes understanding teachers' epistemic goals and practices and how to provide professional development (PD) to improve instruction. The resulting instruction will offer new affordances to advance students' and teachers' learning.

Co-PI(s): Clark Chinn, Rutgers University

The purpose of this project is the design and development of a K-12 classroom observation protocol for integrated STEM instruction (STEM-OP). Using exploratory and confirmatory factor analysis, the STEM-OP will be a valid and reliable instrument for use in a variety of educational contexts. The STEM-OP and associated training materials will be available for use by education stakeholders, (e.g., K-12 teachers and district administrators), through a publicly available online platform.