This lesson is designed to help students gain knowledge in using the MY NASA DATA Live Access Server (LAS) to obtain a microset of data, in using Excel to graph the data, then using the graphs to investigate the relationship between surface temperature and tropospheric ozone. They will also analyze changes in tropospheric ozone and then hypothesize about the consequences of these changes. The measurements are taken over Chattanooga, TN. Students are provided content-related activities to enhance background knowledge, and then are provided detailed instructions on how to download data from the MY NASA DATA Live Access Server (LAS) and to use Excel to graph the data. The lesson provides detailed procedure, related links and sample graphs, follow-up questions and extensions, and Teacher Notes.
Type of Material:
Reference Material
Recommended Uses:
This material can be used to support a variety of modes such as homework, tutorial, or as an in-class assignment. It can be used by individuals or teams of students.
Technical Requirements:
Browser. We tried both Safari and Chrome.
Identify Major Learning Goals:
To use data microsets of mean near-surface air temperature and tropospheric ozone residual averages to infer patterns.
To analyze changes in tropospheric ozone and then hypothesize about the consequences of these changes.
Target Student Population:
The material itself is directed toward grades 9-12, but this can also be used in a teacher prep program.
Prerequisite Knowledge or Skills:
Familiarity with using a software-based graphing utility, and knowledge of formulas within software-based graphing utility is helpful. Knowledge of chemistry is helpful.
Content Quality
Rating:
Strengths:
This module can be used to encourage higher order and critical thinking skills. The data is solid, coming from NASA.
Concerns:
None
Potential Effectiveness as a Teaching Tool
Rating:
Strengths:
This module supports several of the Virginia Standards of Learning, and can most likely be used to support STEM standards in other states too. It provides real data and allows students to work with that data to develop patterns.
Concerns:
None
Ease of Use for Both Students and Faculty
Rating:
Strengths:
This module includes step-by-step instructions, which make this module easy to use. It uses easy to read accessible fonts.
Concerns:
None
Creative Commons:
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