AIMS modules use fascinating images set in real biological research to help science students learn quantitative skills they need.

Dendroclimatology

Jeremy M Wojdak, R. S. Maxwell

Version: 2.0

Dendroclimatologists can reconstruct climate records further into the past than written records, by examining tree rings. Students "reverse-engineer" this process by considering growth rates of a tree species in response to various...
linear regression, graphing, data visualization, standardization, climate, tree rings, dendrochronology
2.9K
1.9K
0
0
09.2018

3D breast cancer tissue reconstruction

Jeremy M Wojdak, Kerri-Ann Norton

Version: 2.0

This module allows students to follow a researcher as she discovers new features of breast cancer tissue architecture, using 3D reconstructions of histological specimens.
graphing, data visualization, breast cancer, DCIS, histograms, centroid, sums of squares
2.3K
1.7K
0
0
09.2018

Phenotypic plasticity and predation

Jeremy M Wojdak, Justin Touchon

Version: 2.0

Students predict changes to tadpole morphology and coloration after considering characteristics of the predator species and the prey themselves then test their own hypotheses (typically with t-tests or ANOVA) by collecting novel data via image...
R, Excel, image analysis, graphing, t-tests, frequency histograms, data visualization, ANOVA, hypothesis formulation, predator-prey interactions, phenotypic plasticity
2.9K
1.4K
0
0
08.2018

Leaf cutter ant foraging

Jeremy M Wojdak, Justin Touchon, Myra Hughey

Version: 1.0

This module introduces students to leaf-cutter ants in the rainforests of Panama. Students derive their own research hypotheses regarding ant foraging or allometric scaling relationships.
leaf cutter ants, foraging, allometry, linear regression, graphing, data visualization, Resources @ AIMS, body size
3.1K
1.6K
0
0
08.2018


Tools to use with AIMS modules: 

imagej screenshot

ImageJ

Image analysis in the modules is performed using  ImageJ.

 

rstudio screenshot

The statistics portions of the modules can be taught with RStudio