Exploring Online Data Modules for Future Classroom Instruction
Document Type
Conference Proceeding
Publication Date
6-2023
Abstract
Participants in this session will learn or be able to do the following after attending this session: (1) Understand what data modules are and appreciate their broad applicability to STEM instruction, (2) Interact with specific databases that have curated activities centered on data modules, and (3) Replicate the steps we used to guide our scholars in the use of data modules to supplement their instructional strategies. The goal of this session is to share a strategy we have used with our undergraduate Noyce scholars to encourage their use of data analysis in their future classrooms. Scholars attended sessions with the following themes: An introduction to using pre-existing data modules as a tool for instruction, Learning about modules by playing the part of the student, Instruction on how to navigate and interpret the New York State standards for science and mathematics, Exploration of various websites with curated data-based modules, Completion of a scholar data module presentation centered on a topic of their interest with a consideration of how they would modify the data module to suit their needs and what state standards the lesson would allow them to cover.
Publication Information
Martinez-Hernandez, Kermin; Freeman, Ed; King, MaKenna; DeMichele, Lauren; and Sainsbury, Kelsey, "Exploring Online Data Modules for Future Classroom Instruction" (2023). Chemistry Faculty/Staff Publications. Paper 41.
https://fisherpub.sjf.edu/chemistry_facpub/41
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Comments
Workshop presentation-The Robert Noyce Teacher Scholarship Program 2023 Noyce Summit, Washington, D.C., June 26-28, 2023.
https://www.nsfnoyce.org/2023-noyce-summit/