Data Analysis and Interpretation

Lesson Observations:

Patterns:

  • Engaged in simulation during the majority of the session.
  • Interacted with students to share discoveries

Themes:

  • When used appropriately simulations can benefit student engagement in learning.

Post Lesson One-on-One Questions:

Patterns:

  • Enjoyed the majority of the simulations.
  • Thought they were beneficial to introduce lab experiments and/or equipment.

Themes:

  • Simulations allow for lab experiences that are faster, cleaner, safer and allows for exploration when the equipment is unavailable or the environment is unattainable.

Post Lesson Survey:

Patterns:

  • 60% of simulations explored were enjoyed.
  • 75% of the simulations explored were believed to be highly educational.

Themes:

  • Simulation tools are an application we can use throughout our entire lives.

There were mixed results in regards to the final theme, but due to the minimal amount of students I had in my case study I feel that this theme was not represented well enough.  Further research will need to be conducted to support this theme.

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One thought on “Data Analysis and Interpretation

  1. Check with your instructor, because they all sometimes have different requirements/requests, but generally speaking what you are doing is looking for common themes between the different types of data. I would think you’d want to now look for themes that match across your data, triangulating your results.

    Liked by 1 person

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