iRubric: Ecocolumns Ecosystems rubric

Focuses largely on aspects that should be included in other sections of report. Some information is not accurate or worded correctly, rough transitions between paragraphs.
Not enough information to assess

Understanding of ecology needs to be further developed. Ideas are not related to ecocolumn project and vague. Only some parts of ecocolumn are discussed. Needs to make real-world application of the model.

Introduction is clear and concise. Shows clear understanding of ecology concepts and makes connections to ecocolumn project. Gives brief introduction to what the ecocolumn project entails and its real-world applications

Masters understanding of concepts and ideas and makes strong connections between ecological studies and ecocolumn project. Demonstrates understanding of model ecosystems and their value in ecology

Concepts are vague and not specific. Little to no use of ecological terms, rarely makes real world connections and does not fully describe ecocolumn project. Not enough information to assess.

Fails to identify several key aspects in ecocolumn (predators, prey, nutrient cycles, abiotic/biotic factors, etc..). Some concepts need further development to show understanding of concepts.

Makes connections between ecological terms and ecocolumn project. Demonstrates understanding of ecological terms and relates them to project. All sections of ecosystem are discussed and described accurately.

Meaningful connections to real-world scenarios are made, accurately describes each section of ecocolumn, uses scientific name when describing organisms within ecocolumn. Strong use of ecological terms, and addresses most key elements in ecology to ecocolumn (predators, prey, nutrient cycles, abiotic/biotic factors, etc..)

Conclusion is not complete and not enough information to assess.

Conclusion is vague, no personal thoughts are expressed. Lacking connection to at least one real-world application of ecocolumn.

Personal thoughts towards study are expressed. Human errors are addressed and future suggestions are discussed.

Demonstrates strong knowledge and understanding of real world applications, makes strong correlations between human error and what was observed.