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Power Of Data-Driven Teaching In Schools - Courses24h - 12-25-2024

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[h1]Free Download Power Of Data-Driven Teaching In Schools[/h1]
Published: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.66 GB | Duration: 0h 37m
Overcoming challenges and making learning visible

[h2]What you'll learn[/h2]
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
[h2]Requirements[/h2]
Understanding and implementing the data driven approaches
[h2]Description[/h2]
Module 1:Understanding Data-Driven Teaching in Schools:Learning ObjectivesBig Grinefine data-driven teaching and its significance.Understand the types of educational data available (academic, behavioural, attendance).Topics:The role of data in modern education.[h3]Overview[/h3] 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 DataLearning Objectives:Learn methods to collect meaningful and accurate data.Organize data effectively for analysis and application.TopicsBig Grinata 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 InsightsLearning ObjectivesBig Grinevelop 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 InstructionLearning Objectives:Learn to use data for personalized instruction and intervention.Understand strategies to differentiate teaching based on data.TopicsBig Grinesigning 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 DataLearning 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.ActivitiesBig Griniscussion: Addressing unconscious bias with data.Action Plan: Develop an equity-focused strategy for your school.Module 6: Building a Data-Driven CultureLearning 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 TeachingLearning Objectives:Explore technology tools that support data collection and analysis.Leverage AI and EdTech for predictive insights.Topics:[h3]Overview[/h3] of Learning Management Systems (LMS).Introduction to AI in education analytics.ActivitiesBig Grinemo: Exploring EdTech tools like Power BI, Tableau, and AI platforms.Lab: Automating data reporting.
[h3]Overview[/h3]
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Collecting and Organizing Data
Lecture 3 Analyzing Data for Insights
Lecture 4 Applying Data to Instruction
Lecture 5 Tools and Technology for Data-Driven Teaching
Lecture 6 Conclusion
Educators/ heads of schools

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