Resource from the 2015 BioQUEST Summer Workshop

Slides and related materials from the presentation given by Dr. Lisa Corwin as a part of the 2020 BIOME Institute.

Poster on encouraging civic and scientific literacy presented at the 2018 QUBES/BioQUEST Summer Workshop

Free and self-paced tutorials and courses for learning to code out of the University of Edinburgh

As with many other complex topics, teaching ecosystem ecology can be particularly difficult in terms of helping students understand the relationships between the various component parts. We addressed this challenge in a general ecology course by developing a lesson plan based on pathway maps. Pathway maps are very similar to concept maps but allow students to specifically address whether the links are positive or negative relationships. While the students created pathway maps collaboratively during class, they explicitly concentrated on the relationships between different concepts in ecosystem ecology. Each group of students then reviewed the pathway maps of another group to identify pathway map links that might be incorrect or poorly described. Students then investigated these flagged links of their own pathway maps by searching the primary literature for data that supported or refuted the questionable link in their pathway map. Each group then wrote a short paper presenting and interpreting the data that they found. The Pathway Mapping activity appeared to promote both big-picture thinking about ecosystem ecology and also a useful venue for students to evaluate a model (their pathway map) with data (from the primary literature). We feel that the Pathway Mapping framework is quite flexible and could be used to positive effect in a large number of courses.  

This adaptation consists of three exercises that introduce students to 1) format spreadsheet data tables, 2) carry out spreadsheet quality control, and 3) count/sort/filter data of interest in order to conduct a pilot analysis on NEON small mammal data.

This pdf provides a list of over 100 educational resources related to tools and skills related to ecological forecasting.

Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language to biology majors.

Teaching students how to code and analyze data in R is important for the fields of biology and ecology. Olivia Tabares and the Ecological Forecasting Education Working Group created this resource to encourage individuals who are teaching biostatics with R. These infographics are intended to provide encouragement and suggestions for working with students who are learning R.

Course materials for BIO 263 Ecological Data Analysis

Students use their number sense to make observations and come up with reasonable guesses or explanations for the patterns shown.

This module introduces students to the research supporting ‘growth mindset,’ the idea that you can increase your brainpower and ability through effort

Teaching notes from my use of BIOMAAP Growth Mindset teaching materials in my 300 level Ecology class for majors.