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Seed Dispersal in Tropical Forests - implementation at a small, Primarily Undergraduate Institution
06 Jun 2018 | Teaching Materials | Contributor(s):
By Maryann Adel Borsick Herman1, HHMI BioInteractive
St. John Fisher College
In this activity, students use data from published studies to understand patterns of seed dispersal and apply these ideas to the design of a conservation area.
Seed Dispersal in Tropical Forests: Learning How Plants Move Around
20 Dec 2018 | Teaching Materials | Contributor(s):
By Sunshine Liberty Brosi
Frostburg State University
This module focuses on the dispersal of seeds from trees in fragmented tropical forests. Students use data from published studies to understand patterns of seed dispersal and apply these ideas to...
Seed Dispersal, Mutualisms, and Communities
11 May 2018 | Teaching Materials | Contributor(s):
By Jenny Hazlehurst1, HHMI BioInteractive
University of California Riverside
In this activity, students use data from published studies to understand patterns of seed dispersal and apply these ideas to understanding the evolution of mutualisms, and how mutualistic...
Spreadsheet Data Analysis Terms and Shortened Tutorial 4
20 Feb 2018 | Teaching Materials | Contributor(s):
By Jennifer Buntz
Introductory students are asked to learn terms for descriptive statistics and complete a matching exercise. Tutorial 4 was shorted to just the full calculations of t values.
Spreadsheet Data Analysis Tutorial Series
15 Jan 2018 | Teaching Materials | Contributor(s):
By HHMI BioInteractive
This series of self-paced tutorials show how to analyze data using a spreadsheet program.
Spreadsheet Tutorial 1 -- Formulae, Functions, and Averages | HHMI BioInteractive
This introduction to spreadsheet programs describes the basic organization of a worksheet, how to organize and format your data, how to perform simple mathematical calculations, how to use built-in...
Spreadsheet Tutorial 1: Adapted to Anatomy and Physiology
21 Feb 2018 | Teaching Materials | Contributor(s):
By Aylin Marz
Norfolk State University
Adapted the examples to Anatomy and Physiology relevant topics and implemented in BIO165L Anatomy and Physiology I Laboratory for non-majors.
Spreadsheet Tutorial 2 - Autofill Data, Cell References, and Standard Deviation
Generate a table with autofill, and use absolute cell reference to calculate variance and standard deviation.
Spreadsheet Tutorial 3 - Column Graphs, Error Bars, and Standard Error of the Mean
Generate a column or bar graph with standard error bars.
Spreadsheet Tutorial 4: t-Test
Calculate t-values and perform t-tests using built-in functions.
Spreadsheet Tutorial 5: Histogram
Generate a histogram using a variety of methods.
Steve Palumbi and Megan Morikawa Study Coral Reef Damage in American Samoa
17 Jan 2018 | Teaching Materials | Contributor(s):
Field research on coral bleaching suggests possibilities for saving threatened reefs.
Tutorial Combination and Assessment
By Cheryl Squair
University of Hawaii at Manoa
The tutorial adaptation specifically addresses data types (i.e., numeric versus categorical variables) and the types of graphs that are used to summarize the different data types.
Tutorial Combination and Online Implementation
By Liesl V McCormick
The two key features of my implementation is the fact that the tutorial was implemented in an online setting, and I added an assessment (also implemented in an online setting).
Using HHMI Tutorials to Prepare Students for Investigating Authentic Datasets in Biology
By Kaitlin Bonner
HHMI tutorial modules were modified and condensed to bring all students up to the same skill level, and students took a pre-assessment to demonstrate adequate preparation for class.
Vitamin C for Colds? Writing LETTERS to Synthesize and Communicate Results from Multiple Studies
29 Aug 2021 | Teaching Materials | Contributor(s):
By Robert E. Furrow*1, Rebecca M. Price2, Aeisha Thomas3, Yue Yin4, Kelsie M. Bernot5
1. University of California, Davis 2. University of Washington, Bothell 3. Crown College 4. University of Illinois at Chicago 5. North Carolina Agricultural & Technical State University
Interpreting experimental results is a key part of evidence-based reasoning. However, it is challenging for students to synthesize data from multiple sources to reach their own conclusions. As...