Data Analytics for Educational Improvement focuses on equipping participants with practical skills to analyze and interpret educational data effectively. The course is structured around project-based learning that emphasizes real-world application, enabling learners to develop actionable insights that can drive improvements in educational settings. Participants will engage in collaborative projects, culminating in a final project that showcases their analytical findings, which can also be published in Cademix Magazine, providing a platform for sharing knowledge with a broader audience.
The curriculum is designed to encompass a variety of topics that are essential for understanding and applying data analytics in education. By the end of the course, participants will not only have gained theoretical knowledge but also practical experience in utilizing various analytical tools and methodologies. This comprehensive approach ensures that learners are well-prepared to meet the demands of the job market and contribute effectively to educational improvement initiatives.
Introduction to Data Analytics in Education
Understanding Educational Data Sources and Types
Data Collection Techniques and Tools
Data Visualization Strategies for Educators
Statistical Methods for Analyzing Educational Data
Predictive Analytics in Student Performance
Utilizing Learning Management Systems (LMS) for Data Insights
Case Studies in Data-Driven Decision Making
Developing Dashboards for Educational Metrics
Final Project: Analyzing a Real-World Educational Dataset