Educational Leadership and Management

Training Course on Data-Driven Decision-Making with EdTech Analytics

Introduction

In today’s rapidly evolving digital education landscape, data-driven decision-making has emerged as a crucial component for educators, school leaders, and policymakers. Leveraging EdTech analytics allows institutions to improve student learning outcomes, streamline teaching practices, and ensure strategic educational planning. Training Course on Data-Driven Decision-Making with EdTech Analytics offers a comprehensive dive into how educational stakeholders can harness analytics to inform decisions, identify trends, and predict outcomes, promoting accountability and performance optimization.

With the integration of AI-powered dashboards, predictive analytics, and real-time data visualization, EdTech is transforming how we measure success in education. Participants will gain hands-on experience with analytics platforms, explore case studies from leading institutions, and develop actionable insights to drive student engagement, personalized learning, and institutional excellence.

Programme Curriculum

Training Course on Data-Driven Decision-Making with EdTech Analytics

Introduction

Course Objectives

Understand the fundamentals of data-driven educational leadership.
Analyze the role of real-time analytics in classroom performance tracking.
Implement predictive modeling for student retention and performance.
Use learning analytics dashboards to monitor and enhance engagement.
Interpret key EdTech performance indicators for strategic planning.
Develop data literacy and fluency for effective education data management.
Evaluate adaptive learning technologies through data insights.
Explore ethical use and data privacy in EdTech analytics.
Customize intervention strategies based on learner data patterns.
Integrate AI in education analytics for automated decision support.
Apply evidence-based approaches to teaching using student feedback data.
Design outcome-focused EdTech improvement plans.
Conduct data storytelling to influence stakeholders in education.

Target Audiences

School administrators
Instructional coordinators
Curriculum developers
Higher education faculty
Data analysts in education
EdTech consultants
Government education planners
Professional development trainers

Course Duration: 5 days

Course Modules

Module 1: Foundations of Data-Driven Decision-Making

Define key terms in educational data analytics
Explore the evolution of EdTech in modern education
Identify the benefits of using data in academic settings
Understand types of education-related data
Analyze roles and responsibilities in data management
Case Study: How a public school district improved test scores through data-informed planning

Module 2: Understanding Learning Analytics Tools

Review popular learning analytics platforms (e.g., Power BI, Tableau)
Examine key metrics used in student tracking
Discuss system integration with LMS (Canvas, Moodle)
Demonstrate dashboard creation and customization
Identify barriers to effective analytics implementation
Case Study: A university’s use of dashboards to boost first-year student retention

Module 3: Predictive Analytics and Student Success

Learn the basics of machine learning in education
Identify indicators of at-risk students
Create intervention plans based on data predictions
Explore early warning systems
Discuss ethical use of predictive analytics
Case Study: Predictive modeling at a charter school to reduce dropout rates

Module 4: Enhancing Teaching Through Data Insights

Analyze student engagement and participation data
Align teaching methods with data feedback
Integrate formative assessment analytics
Use heat maps and trend graphs for improvement
Promote data-based personalized instruction
Case Study: Teacher improvement through classroom behavior data analytics

Module 5: Data Privacy, Ethics, and Governance

Understand FERPA and GDPR compliance in EdTech
Discuss ethical considerations in student data use
Identify data governance roles and responsibilities
Establish data-sharing policies in institutions
Promote digital citizenship and student awareness
Case Study: Ethical data practices in a global virtual school network

Module 6: AI and Automation in EdTech Analytics

Define AI applications in educational data analysis
Review intelligent tutoring systems
Automate data collection and analysis workflows
Explore chatbots and virtual assistants for learning
Address bias and fairness in AI systems
Case Study: AI-based adaptive learning in a STEM learning app

Module 7: Building a Culture of Data-Driven Leadership

Promote leadership buy-in for analytics adoption
Conduct professional development on data use
Design institutional KPIs and success metrics
Monitor progress using institutional scorecards
Foster cross-departmental data collaboration
Case Study: Leadership transformation at a K-12 academy through data culture

Module 8: Capstone: Creating an Analytics Implementation Plan

Conduct institutional needs assessment
Draft an EdTech data strategy blueprint
Set goals and define key success metrics
Develop an evaluation and review process
Pitch data plans to stakeholders and leaders
Case Study: End-to-end analytics transformation of a private learning center

Training Methodology

Interactive Workshops using real-time dashboards and simulations
Hands-on Labs with tools like Power BI, Google Data Studio, and LMS plugins
Peer Collaboration Projects to build a data-driven school improvement plan
Case Study Analysis and application of strategies in real scenarios
Expert-Led Lectures on emerging trends in EdTech and learning analytics
Assessment Tasks including quizzes, mini-projects, and presentations

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Analytics platforms dashboarding predictive metrics

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000