Application of educational technology to inquiry-based learning.
Consideration of methodologies and data analyses in the context of ongoing teacher and/or student projects.
Topics include: concepts in problem-solving; measurement; range of data (limits, extrapolation); chance and probability; computer modeling; and variability of data (amount and rate of change, approximation, precision and accuracy).
In this world of ever-increasing information our students must learn to collect, analyze, and interpret data for practical application and problem solving.
Better analysis of data by educators can improve student achievement.
What are the best technologies for my lesson?
How can I effectively integrate these tools into my lesson?
How can my students use data to increase understanding of concepts?
How can educators use data to improve their teaching and student outcomes?
A variety of instructional methods will be used in this class. They include, but are not limited to:
Assigned Readings
Class Discussions and Blogs
Software Explorations
Individual Project Work