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Exploring Model Development and Deployment in Cooperative Learning

Engage students in experiments, data analysis, and model formulation. Enhance understanding through multiple representations and articulate conclusions effectively. Empower students to apply models in varied situations for improved scientific discourse and autonomous thinking.

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Exploring Model Development and Deployment in Cooperative Learning

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  1. What Do We Mean by Model?

  2. I - Model Development • Students in cooperative groups • design and perform experiments. • use computers to collect and analyze data. • formulate functional relationship between variables. • evaluate “fit” to data.

  3. I - Model Development • Post-lab analysis • whiteboard presentation of student findings • multiple representations • verbal • diagrammatic • graphical • algebraic • justification of conclusions

  4. Preparing Whiteboard

  5. Making Presentation

  6. II - Model Deployment • In post-lab extension, the instructor • brings closure to the experiment. • fleshes out details of the model, relating common features of various representations. • helps students to abstract the model from the context in which it was developed.

  7. II - Model Deployment • In deployment activities, students • learn to apply model to variety of related situations. • identify system composition • accurately represent its structure • articulate their understanding in oral presentations. • are guided by instructor's questions: • Why did you do that? • How do you know that?

  8. II - Model Deployment • Objectives: • to improve the quality of scientific discourse. • move toward progressive deepening of student understanding of models and modeling with each pass through the modeling cycle. • get students to see models everywhere! • Ultimate Objective: • autonomous scientific thinkers fluent in all aspects of conceptual and mathematical modeling.

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