Methods

Provide a conceptual understanding about Bayesian networks, don't go into a detailed explanation of the mathematics, since this isn't their area of expertise, and its not required for us to give an explanation of the mathematics, which they could find in a good text book. Rather give a sufficient explanation that they can understand easily.

Provide an explanation as to why BN could be an effective method of analysis and formulating education and innovation policy, such as being able to identify interventions etc.

Provide an explanation of how our model works, describing the variables and relationships between variables etc.

Provide an explanation of what insights can be derived from the data we have been given and what insights cannot be derived from the data given - explaining that insights are limited by quality of data and number of variables etc.

Explain what type of questions can be asked from a BN model and highlight the difference between this approach to other traditional methods of statistical analysis; a conceptual understanding, so they understand how to apply BN - highlighting why BN is used because of questions we have about a phenomena etc.

Explain how policymakers should formulate research questions when using BN approach etc.

Explain how they should collect data for future.

Explain how they can build on the model we've built.

Main question "What should we do to improve the score on the saber11 test". Pictures and discussion.

Strong focus on:

Potential

Importance of collecting right data depending on the question.