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The North Eastern Sectional MAA Website

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Cheng Peng's Website

Cheng Peng led the talk on The Science of Turning Raw Data to Actionable Knowledge.

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State of Maine Government

Chris Boudreau was on the Careers in Data Science Panel. He works with the data for the State of Maine website.

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iVantage Health Analytics

Michael Topchik's career website. Michael was on the Careers in Data Science Panel. 

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Freeport Metrics

The website of Dan Pitch's work. He was on the Careers in Data Science Panel.

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Benjamin Schmidt Jobs

A data visualization connecting all of the majors to their professions.

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Is It Safe To Go Out Yet? Statistical Inference in a Zombie Outbreak Model

Applies the Bayesian theory to the Zombie outbreak creating a hypothetical model for the zombie apocalypse.

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Common Active Learning Mistakes

Many of your students may have experienced only traditional lecturing before they show up in your class. If you suddenly plunge them into active learning with no preparation, their assumption may be that you’re either playing some kind of game with them or conducting an experiment with them as the guinea pigs, neither of which they appreciate, and you may experience some vigorous pushback.

This issue of the "Tomorrow's Professor" eNewsletter lays out some common active learning mistakes and how to avoid them. 

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Sam S Donovan onto Active Learning

Active Learning and Student-Active Teaching

This is a collection of resources from the Teaching Issues and Experiments in Ecology (TIEE) project site. The site is a few years old and is experiencing some "link rot" - addresses that no longer work. However, there are still some high quality resources here. I wonder if the folks at TIEE would be open to suggestions for updating this collection?

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Sam S Donovan onto Active Learning

Examples of Active Learning Techniques

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Great list of examples of active learning strategies

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Alison N Hale onto Active Learning

Active learning increases student performance in science, engineering, and mathematics

Education research study published in PNAS 2014

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Alison N Hale onto Active Learning

The Science of Teaching Science

News Feature from Nature with the subtitle: "Active problem-solving confers a deeper understanding of science than does a standard lecture. But some university lecturers are reluctant to change tack."

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Alison N Hale onto Active Learning

Opening doors through mathematics. Position on professional development.

American Mathematical Association of Two-Year Colleges. Here they propose standards that mathematics be taught like sciences as a laboratory discipline.

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BUGBOX mathematical modeling simulations

Simulations that  model  prey density with consumption by one predator as well as a population of an insect over time.  

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Instructor Notes and Supplemental Critical Analysis Activity -- Gaston College

Linked is a really neat .gif graph that shows temperature change over time. It is easy to interpret and helps supplement the phenology module.

Also attached is a supplemental activity (class discussion) that helps illuminate how some entities present real data in a biased fashion to convince the reader of specific views. Students work as a group to bias real data, engage in a class discussion, and find real examples of biased data in social media/current events.

 

Instructor's Notes:

This TIEE module was implemented over the course of two days in a lab setting for community college students enrolled in a major's biology course. I began with the pre-workshop excel graphing activity by Calinger, had students work on the module without modifications, and ended with my critical analysis supplemental activity attached above.

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Mathematical Manipulative Models: In Defense of “Beanbag Biology”

CBE Life Sci Educ. 2010 Fall; 9(3): 201–211.

doi:  10.1187/cbe.10-03-0040

Mathematical Manipulative Models: In Defense of “Beanbag Biology”

John R. Jungck,corresponding author* Holly Gaff, and Anton E. Weisstein

This paper discusses a number of experiential tools for improved quantitative understanding in the biology classroom.

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Gary Simundza demonstrates Experiential Learning

You tube video

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Faculty perceptions of a calculus reform experiment at a research university: A historical qualitative analysi

Explains a study done on calculus students to better understand how to shape their curriculum. 

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Population growth-exponential and logistic models vs. complex reality

Explains the ways that Exponential growth models and logistic models depict real world scenarios to students.

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University of California museum of paleontology

A project dedicated to helping students understand science. Explains how various elements of science works and how science is in everyday life. 

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Steady state vs. equilibrium in biology

Explains how a steady state system stays constant overtime. Also, explains how an equilibrium stays stable overtime. 

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Curriculum renewal across the first two years (CRAFTY).

Determines the mathematical needs of colleges. Also offers  a curriculum guide. Focuses on two key main points:

  • Determining  mathematical needs and priorities their partner disciplines by offering 22 weekend workshops.
  • Supporting mathematics departments to develop and offer an engaging  College Algebra courses.

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Transforming undergradaute education in biology: Mobilizing the community for change.

Its a vision to change Biology education through innovative ideas. The organization involved is the American Association for the Advancement in Science. They are searching for the best ways to teach biology.   

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I implemented the module as written, with very little modification.  I attached the files I used and shared with students, as well as examples of student posters that were completed as part of the project.

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Modified Bald Eagle Module at St. Norbert College

We completed this activity as part of our Earth Day celebration in one 60min lecture period in my Second Semester Majors Introductory Biology Course. The course had 5 sections of 20-24 students each.  We had already completed the HHMI Excel Tutorials and the TIEE Phenology and Climate Change Module in previous labs, so it was possible to complete the full guided activity (minus performing the regression analyses-we just used trend lines and R2 values) and have a short discussion in 60 min.

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