What you’ll learn
- Introduction to Data Driven Teaching in Schools
- Understanding the Approach
- Initiating the approach and implementation
- Adopting the data driven practices
- Enhancing personalised learning
- Informed decision making
- Driving continuous challenges
This course includes:
- 37 mins on-demand video
- Access on mobile and TV
- Full lifetime access
- Certificate of completion
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:
- 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.
Who this course is for:
- Educators/ heads of schools
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Important Notice and Disclaimer:- CareerBoostZone platform is a free Job Sharing platform for all the Job seekers. We don’t charge any cost and service fee for any job which is posted on our website, neither we have authorized anyone to do the same. Most of the jobs posted over Seekajob are taken from the career pages of the organizations. Jobseekers/Applicants are advised to check all the details when they apply for the job to avoid any inconvenience.
