Introduction

In today's data-driven education systems, the ability to design and interpret Learning Analytics Dashboards is a vital skill for educators, administrators, and instructional designers. Learning Analytics Dashboards Design Training Course delivers a comprehensive and hands-on training on developing intelligent, user-centered, and responsive dashboards to visualize learner performance, engagement, and progress. Using modern data visualization tools, predictive analytics, and user experience (UX) principles, participants will gain practical insights and real-world skills to enhance decision-making processes in educational settings.

This training program aligns with global edtech trends, focusing on real-time analytics, AI-powered educational insights, and evidence-based learning interventions. By the end of the course, participants will be empowered to design custom dashboards that align with institutional goals, learner needs, and compliance standards. With a strong emphasis on case-based learning, data storytelling, and interactive visualizations, learners will be equipped to drive transformation in digital education environments.

Programme Curriculum

Learning Analytics Dashboards Design Training Course

Introduction

Course Objectives

Participants will be able to:

Understand the fundamentals of learning analytics and dashboard design.
Identify key metrics and KPIs for student engagement and success.
Integrate AI and machine learning in learning dashboards.
Apply UX/UI design principles for dashboard usability.
Develop dashboards using tools like Power BI, Tableau, Google Data Studio.
Interpret real-time learner data for instructional decisions.
Utilize predictive analytics to forecast learner outcomes.
Customize dashboards for institutional reporting and accreditation.
Apply data ethics and privacy in dashboard design.
Build interactive dashboards that support adaptive learning.
Conduct usability testing on dashboards.
Align dashboard outputs with curriculum and assessment goals.
Use dashboards to support personalized learning pathways.

Target Audiences

Education Technology Specialists
Data Analysts in Education
Instructional Designers
Academic Administrators
Learning Management System (LMS) Coordinators
Online Course Developers
University Faculty & Lecturers
Policy Makers in Education

Course Duration: 10 days

Course Modules

Module 1: Introduction to Learning Analytics

Definition, scope, and significance
Types of learning data
Stakeholders in learning analytics
Introduction to dashboard platforms
Data literacy for educators
Case Study: Using LMS data for course improvement

Module 2: Identifying Key Performance Indicators (KPIs)

Selecting relevant learning metrics
Benchmarking academic performance
Analyzing engagement and retention
Attendance and participation data
Visualizing completion rates
Case Study: KPI dashboards in a university setting

Module 3: Data Collection and Integration

Data sources: LMS, SIS, third-party tools
APIs and data extraction techniques
Cleaning and transforming data
Integrating diverse datasets
Using cloud-based data pipelines
Case Study: Integrating SIS data into Tableau dashboards

Module 4: Dashboard Design Principles

Information architecture and layout
Color theory and visual consistency
UX design best practices
Storyboarding for dashboards
Designing for accessibility and inclusion
Case Study: Designing a student-facing dashboard

Module 5: Tools for Dashboard Development

Power BI setup and customization
Tableau dashboards for education
Google Data Studio for real-time reporting
Comparison of tools: strengths and weaknesses
Embedding dashboards into LMS platforms
Case Study: Real-time dashboard using Power BI

Module 6: Predictive Analytics in Learning Dashboards

Basics of predictive modeling
Early alert systems for at-risk students
Forecasting performance trends
AI integration in dashboard workflows
Evaluating predictive models
Case Study: AI-powered predictions in student success

Module 7: Personalization and Adaptive Learning

Personalized content recommendations
Learning pathways and branching
Real-time content adjustment
Dashboards that support student agency
Equity in personalization
Case Study: Adaptive dashboards in K-12 settings

Module 8: Data Visualization Techniques

Bar charts, heatmaps, and scatter plots
Interactive filters and drill-downs
Visual hierarchy and storytelling
Comparative and trend analytics
Dashboards for mobile and desktop
Case Study: Interactive dashboard for STEM courses

Module 9: Privacy and Ethics in Learning Analytics

FERPA, GDPR, and compliance issues
Ethical use of student data
Informed consent and transparency
Mitigating algorithmic bias
Building trust through transparency
Case Study: Ethical issues in a university analytics project

Module 10: Real-Time Dashboards and Alerts

Setting up live data feeds
Alerts and notifications
Monitoring student activity in real-time
Decision-support features
Managing data latency issues
Case Study: Real-time dashboard in online courses

Module 11: Institutional Reporting and Accreditation

Dashboards for administrators and deans
Reporting academic performance trends
Compliance reporting
Supporting accreditation audits
Role-based access control
Case Study: Accreditation dashboard for academic institutions

Module 12: User Testing and Feedback

Conducting usability testing sessions
User personas and journey mapping
Iterative dashboard improvement
Heatmaps and A/B testing
Feedback loops and improvement
Case Study: Refining dashboards based on student feedback

Module 13: Integrating Dashboards with LMS

Embedding dashboards in Moodle, Canvas, Blackboard
SSO and user authentication
Synchronizing course data
LMS analytics vs external dashboards
Custom widgets and plugins
Case Study: Canvas dashboard integration for student analytics

Module 14: Monitoring Equity and Inclusion

Disaggregating data by demographics
Highlighting equity gaps
Culturally responsive data displays
Inclusive dashboard design practices
Using data for social justice in education
Case Study: Equity dashboard in a community college

Module 15: Capstone Project: Design and Present a Dashboard

Select a real-world scenario
Choose relevant data sources
Build a functional dashboard
Present to a panel for feedback
Reflect on design process and challenges
Case Study: Final project presentations and peer review

Training Methodology

Interactive hands-on lab sessions
Real-world case study analysis
Live demos and guided tool walkthroughs
Group collaboration and peer review
Capstone project for applied learning
Access to dashboard design templates and tools

Bottom of Form

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

Dashboard design learning analytics visualization

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $2,000