Data has potential to be the key lever that leads to exceptional student results. In a world where there are endless metrics—expanding spreadsheets, charts, report cards, and data points— often many educators are overwhelmed with data points yet lack relevant data. With the innumerable amounts of data points, we need to draw out patterns, trends, and insights that show meaningful data about particular areas of the teaching and learning process.
Data collection and analysis of students’ work are part of how schools report and track performance. This involves more than simply calculating a class grade average and percentage of successful and ‘failing’ students, but reshaping the way students learn as well as teaching dynamics because it highlights what students learn, when they learn it and at what level and goes further to determine what a student masters or does not master. This course will explore data analysis, demonstrate how teachers can use data to plan, effectively make data-driven decisions, solve problems, and rethink new teaching methods.
Therefore, in this five-week course participants will analyze academic performance according to standard criteria and use this data to close achievement gaps, reduce the failure rate of underserved students, and meet accountability requirements with emphasis on promoting equity within a culturally proficient school environment.
After completing this course, participants should be able to:
- Explain how academic achievement data can be used to improve student learning and engagement
- Demonstrate understanding how data is linked to learning depth
- Make meaningful use of assessment data across their curriculum
- Adapt teaching strategies from data analysis
- Adapt schemes of work for students’ learning and achievement
- Prepare students for EMSAT, PISA, TIMMS and PIRLS through teaching and data
All school leaders and educators in Ras Al Khaimah and the United Arab Emirates
Mode of Delivery