Utilizing the Principles of Data Analysis to Improve Academic Performance

You have lots of student data. You hear you should be making data driven decisions. But what does that mean? What data is truly important? How do you link your data to academic improvement? Do you know the three basic principles of effective classroom instruction and the six components of reading instruction, and principles of arithmetic? This interactive workshop will describe how relevant data is linked   to academic growth. By enabling targeted interventions, enhancing teaching strategies, and leveraging technology you move closer to realizing the mission of providing high-quality education tailored to the needs of every student, ultimately preparing them for success in an increasingly complex world. 
I have a couple of questions for you:
What is the one thing most students cannot do in basic math?
What three factors chiefly influence academic achievement?
When you leave this session, you will have an understanding on what drives personalized approaches to learning and alternative instructional options. You will have an action plan for monitoring student performance. Visualize the transformative potential of data analysis to improve teaching methods and enhance student outcomes.
So, push the boundaries of your thinking about what matters most in learning.