Introducing an Instructional Model for Teaching Blended Math-Science Sensemaking in Undergraduate STEM Courses Using Computer Simulations
Leonora Kaldaras, Carl Wieman

TL;DR
This paper introduces a novel instructional method utilizing interactive simulations to teach blended math-science sensemaking in undergraduate STEM courses, demonstrating its effectiveness in enhancing students' understanding and cognitive engagement.
Contribution
The work develops and tests a new instructional approach using simulations to improve blended MSS skills in STEM education, applicable from K-12 to undergraduate levels.
Findings
Students developed relevant equations and understanding of mathematical relationships.
The approach increased students' engagement in higher cognitive levels.
Effective in both chemistry and physics contexts.
Abstract
The ability to express scientific concepts in mathematical terms and integrate scientific and mathematical reasoning about a phenomenon is a foundational cognitive process involved in scientific thinking. This process called blended math-science sensemaking (blended MSS) is a desired skill for all STEM students, but few students are learning it, and there is little research on how to teach it. In this work we introduce the development and testing of a novel instructional method for teaching blended (MSS) that is suitable for use in STEM courses in undergraduate and K-12 educational settings. This study builds on our past work on developing and validating a framework for characterizing in detail the cognitive levels involved in such sensemaking. This work uses the unique power of interactive simulations for assessing and developing blended MSS. We designed instructional activities to…
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Taxonomy
TopicsInnovative Teaching and Learning Methods · Online Learning and Analytics · Innovative Teaching Methods
