Student-designed Labs and Statistics for AP/IB Sciences
July 13, 2020 @ 8:00 am - July 17, 2020 @ 5:00 pm$550
How do you guide your students to develop research questions that can be explored within the parameters of your course? How do you help them streamline their procedure and collect enough data to address the question? This workshop will give you repeatable teaching structures that can be used to inspire original student-designed experiments, implement the peer review process, and respond to the challenges students face when working independently. In addition to the methods you will learn regarding lab design, we will also spend time manipulating raw data and using it to make claims supported with evidence and reasoning. Teachers in this workshop will learn to use common descriptive parameters such as variance, standard deviation, standard error of the mean, and the 95% confidence interval. They will compare techniques used to describe uncertainty and error in reported data and on graphs. Participants will practice choosing and using three of the most common statistics used to test a hypothesis: chi-squared, Pearson’s test of correlation, and the student’s t-test until they are comfortable with the calculations on paper or as used in a spreadsheet. We will pick apart these descriptors and hypothesis tests to understand why a scientist might choose one over another depending on the circumstances so each teacher goes home with the confidence to incorporate a high level of data analysis in their courses.