Power of Data-Driven Teaching in Schools

Description

Module 1:

Understanding Data-Driven Teaching in Schools:

• Learning Objectives:

  • Define data-driven teaching and its significance.

  • Understand the types of educational data available (academic, behavioural, attendance).

• Topics:

• Activities:

Module 2: Collecting and Organizing Data

• Learning Objectives:

• Topics:

  • Data collection tools and techniques (surveys, LMS, assessments).

  • We are ensuring ethical data collection practices.

• Activities:

  • Hands-on: Using data management tools (Google Sheets, Excel, or SIS).

  • Discussion: Identifying data gaps in your institution.

Module 3: Analyzing Data for Insights

• Learning Objectives:

• Topics:

• Activities:

Module 4: Applying Data to Instruction

• Learning Objectives:

• Topics:

• Activities:

Module 5: Driving Equity Through Data

• Learning Objectives:

• Topics:

• Activities:

Module 6: Building a Data-Driven Culture

• Learning Objectives:

• Topics:

• Activities:

Module 7: Tools and Technology for Data-Driven Teaching

• Learning Objectives:

• Topics:

• Activities:

  • Demo: Exploring EdTech tools like Power BI, Tableau, and AI platforms.

  • Lab: Automating data reporting.