Activities and Examples: Using Data in the Classroom Today
This collection contains links to on-line activites for teaching STEM concepts with data of all types and examples that describe ways in which on-line, published, and student-collected data are currently used in teaching and learning.
This collection includes both data activities identified from across the web as well as a local example collection.
The initial example collection was created in collaboration with the Geological Society of America where the examples were given in a poster session "Using Data to Teach Earth Processes: An Illustrated Community Discussion" sponsored by the NAGT On the Cutting Edge program. We invite you to contribute additional examples in any of the STEM disciplines.
Each example includes a description of the activity, its learning goals, the context in which it is used, information on the needed data, tools, and activities and suggestions for evaluation.
Results 41 - 50 of 193 matches
Protein Evolution part of Merlot Biology Pedagogic Collection:Teaching with Data:Examples
In this activity students explore the evolution of proteins by comparing 2D and 3D alignments of orthologs and paralogs.
Long Term Ecological Resources part of Merlot Biology Pedagogic Collection:Teaching with Data:Examples
Students analyze data on temperature and precipitation collected from 26 different Long Term Ecological Research sites and compare them with annual net primary productivity. The students then form an ecological rule to explain their results.
Searching Genbank part of Merlot Biology Pedagogic Collection:Teaching with Data:Examples
An active problem-based assignment that uses the Genbank database to teach the basics of molecular biology and molecular evolution
Plant Pest Control part of Merlot Biology Pedagogic Collection:Teaching with Data:Examples
This learning experience introduces participants to scientific inquiry, hypothesis formation, experimental design, data analysis, and interpretation.
Phenylketonuira part of Merlot Biology Pedagogic Collection:Teaching with Data:Examples
In this activity, students are assigned different alleles of the gene for phenylalanine hydroxylase to research using OMIM (Online Mendelian Inheritance in Man). They are then asked to both explain and illustrate how this mutation may cause the disease phenylketonuria (PKU).
Monohybrid Fruit Fly Crosses: A Simulation part of Merlot Biology Pedagogic Collection:Teaching with Data:Examples
This assignment uses a computer simulation of fruit fly genetics to have students design and interpret monohybrid crosses of a trait with simple dominant and recessive alleles. Detailed instructions with animated examples, background material, a sample report and a rubric are included.
Sun Spot Analysis part of Starting Point-Teaching Entry Level Geoscience:Teaching with Data:Examples
Introductory students use Excel to graph monthly mean Greenwich sunspot numbers from 1749 to 2004 and perform a spectral analysis of the data using the free software program "Spectra". -
Writing a Wikipedia Genetic Disease Article part of Merlot Biology Pedagogic Collection:Teaching with Data:Examples
Writing a Wikipedia article about a genetic disease is a good culminating activity for a genetics course or module, as it requires synthesizing and interpreting a wide range of genetic information. This assignment also includes a potential service component, which is normally very difficult in genetics.
Describe and Interpret Images: Folded Strata part of Starting Point-Teaching Entry Level Geoscience:Interactive Lectures:Examples
In class, have students make a simple sketch of an outcrop shown in a slide (or computer projection) then discuss possible interpretations. -
Influence of Outliers on Correlation part of CAUSE Teaching Methods:Teaching with Data Simulations:Examples
In this visualization activity, students will observe their instructor create a scatterplot and observe how the correlation coefficient changes when outlier points are added. Students are then given a follow up assignment which guides them through the applet. In addition, the assignment provides insight about outliers and their effect on correlation.