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WIZAPE
Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

Educational Data Analytics and Insights
( 25 Modules )

Module #1
Introduction to Educational Data Analytics
Overview of the importance and applications of data analytics in education
Module #2
Data-Driven Decision Making in Education
Understanding the role of data in informing instructional and administrative decisions
Module #3
Types of Educational Data
Exploring different types of educational data, including student demographics, academic performance, and behavioral data
Module #4
Educational Data Sources and Systems
Overview of common data sources, such as learning management systems, student information systems, and assessment platforms
Module #5
Data Quality and Integrity
Understanding the importance of data quality and integrity in educational data analytics
Module #6
Data Visualization in Education
Introduction to data visualization principles and tools for educational data
Module #7
Descriptive Analytics in Education
Exploring descriptive analytics techniques for summarizing and describing educational data
Module #8
Inferential Statistics for Educational Data
Introduction to inferential statistics for making inferences about educational data
Module #9
Predictive Analytics in Education
Exploring predictive analytics techniques for identifying patterns and making predictions in educational data
Module #10
Machine Learning in Education
Introduction to machine learning concepts and applications in educational data analytics
Module #11
Educational Data Mining
Exploring educational data mining techniques for discovering patterns and relationships in educational data
Module #12
Learning Analytics
Introduction to learning analytics, including analysis of student learning behavior and outcomes
Module #13
Academic Performance Analysis
Analyzing academic performance data to identify trends and areas for improvement
Module #14
Student Engagement and Motivation Analysis
Analyzing data on student engagement and motivation to inform instructional strategies
Module #15
Teacher Evaluation and Effectiveness Analysis
Analyzing data on teacher effectiveness and evaluation to inform professional development and policy decisions
Module #16
School and District-Level Analytics
Analyzing data at the school and district levels to inform policy and administrative decisions
Module #17
Data-Driven Instructional Design
Using data analytics to inform instructional design and improve student outcomes
Module #18
Ethical Considerations in Educational Data Analytics
Exploring ethical considerations and best practices in educational data analytics
Module #19
Data Governance and Policy in Education
Understanding data governance and policy frameworks for educational data analytics
Module #20
Collaborative Data Analysis in Education
Best practices for collaborative data analysis and data-driven decision making in education
Module #21
Using Data to Support Diverse Learners
Analyzing data to support students with diverse needs, including students with disabilities and English language learners
Module #22
Data-Driven Strategies for College and Career Readiness
Using data analytics to inform strategies for college and career readiness
Module #23
Case Studies in Educational Data Analytics
Real-world case studies of educational data analytics in action
Module #24
Future Directions in Educational Data Analytics
Exploring emerging trends and future directions in educational data analytics
Module #25
Course Wrap-Up & Conclusion
Planning next steps in Educational Data Analytics and Insights career


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