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:

The role of data in modern education.

Overview of critical data sources in schools.

Activities:

Reflection: Assess your school’s current use of data.

Case Study: How a school improved outcomes using data.

Module 2: Collecting and Organizing Data

Learning Objectives:

Learn methods to collect meaningful and accurate data.

Organize data effectively for analysis and application.

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:

Develop skills to interpret and analyze educational data.

Use data visualization tools to identify trends and patterns.

Topics:

Key metrics for student performance and teacher effectiveness.

Introduction to data visualization software.

Activities:

Workshop: Create a dashboard to track student performance.

Group Exercise: Interpret data to suggest actionable insights.

Module 4: Applying Data to Instruction

Learning Objectives:

Learn to use data for personalized instruction and intervention.

Understand strategies to differentiate teaching based on data.

Topics:

Designing data-informed lesson plans.

Using formative assessments to guide teaching.

Activities:

Role-Play: Customizing a lesson for diverse learners using data.

Case Study: Successful intervention strategies.

Module 5: Driving Equity Through Data

Learning Objectives:

Use data to identify and address inequities in education.

Develop strategies for inclusive teaching.

Topics:

Recognizing patterns of inequity using data.

Implementing targeted interventions for underserved groups.

Activities:

Discussion: Addressing unconscious bias with data.

Action Plan: Develop an equity-focused strategy for your school.

Module 6: Building a Data-Driven Culture

Learning Objectives:

Foster a school-wide commitment to data-informed decision-making.

Train staff and stakeholders to use data effectively.

Topics:

Leadership’s role in promoting data use.

Overcoming resistance to data-driven practices.

Activities:

Simulation: Leading a data-driven staff meeting.

Workshop: Designing a professional development session on data use.

Module 7: Tools and Technology for Data-Driven Teaching

Learning Objectives:

Explore technology tools that support data collection and analysis.

Leverage AI and EdTech for predictive insights.

Topics:

Overview of Learning Management Systems (LMS).

Introduction to AI in education analytics.

Activities:

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

Lab: Automating data reporting.