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Table 5 Scoring rubric for computational component complexity within participant artifacts

From: Computational thinking through the lens of biological evolution learning: enhancing understanding through the levels of biological organization and computational complexity

Component

No points

Simple

Developing

Complex

Input

Absence of the word input

Participants describe input as provided by the instructor

Participants uniquely decide on the input data for their computational component, recognize what it is and identify correctly in writing

Participant able to find and modify input data on their own

Integration

Absence of the world integration

Participants describe integration as a formula or program

Participants accurately describe which variables are interacting within the integration

Participants describe which variables are interacting and how they are doing so explicitly within their computational representation

Output

Absence of the word output

Participants describe as a graph or model

Participants correctly identify their output and make the connection between the visual output and the integration

Participants have multiple representations of output

Feedback

Absence of the word feedback

Participant recognition that the model re informs itself

Participant describes how output rein forms model

Participant description of how output rein forms model and provides alternate ways

Model

    

Model Present

No Model (0 points)

Model Present (1 point)

  

Model Complexity

No Model

Present and similar to instructor examples

Working and distinctly different from instructor examples

Participants use alternate computational tools to generate models. (No examples provided for participants at complex level)

  1. Classified according to the LBECT-LP (Christensen and Lombardi 2020)