Predictive Analytics for Educators focuses on equipping participants with the skills to utilize data-driven methodologies to improve educational assessment and outcomes. The course provides a comprehensive framework for understanding predictive modeling, data interpretation, and the application of analytics in educational settings. Participants will engage in hands-on projects that encourage the practical application of concepts learned, fostering an environment of collaboration and innovation.
Throughout the course, learners will explore various predictive analytics tools and techniques specifically tailored for educational contexts. Emphasis will be placed on real-world applications, allowing participants to analyze educational data sets, derive insights, and present findings effectively. By the end of the program, participants will have developed a robust portfolio, including a final project that showcases their ability to apply predictive analytics to solve real educational challenges.
Introduction to Predictive Analytics in Education
Data Collection and Management Techniques
Statistical Foundations for Predictive Modeling
Key Predictive Analytics Tools and Software
Building Predictive Models: Step-by-Step Approach
Analyzing Student Performance Data
Forecasting Trends in Educational Outcomes
Visualizing Data for Effective Communication
Case Studies: Successful Applications of Predictive Analytics
Final Project: Developing a Predictive Model for an Educational Assessment Challenge