What You’ll Learn: The Future of Intelligent EdTech
Move beyond static digital content—build EdTech systems that adapt, personalize, and respond in real time to learner needs, behaviors, and goals.
Adaptive Learning Systems
Configure platforms that adjust difficulty, pacing, and feedback based on learner performance.
AI-Driven Content Engines
Deploy recommendation systems that curate videos, readings, and activities dynamically.
Learning Analytics Dashboards
Interpret engagement, persistence, and mastery metrics to guide interventions.
Ethics & Equity in EdTech AI
Ensure algorithms serve all learners fairly—without bias or exclusion.
Who Should Enrol?
For educators, designers, and innovators shaping the next generation of learning technology.
- Educators & Instructional Designers
- EdTech Product Managers & Developers
- Academic Researchers in Learning Sciences
- Education Administrators & LMS Coordinators
Hands-On EdTech Labs
Adaptive Pathway Builder
Design a branching learning journey that adapts to student choices and performance.
AI Content Recommender
Build a no-code engine that suggests resources based on learning style and progress.
Capstone
EdTech Innovation Proposal
Develop a full AI-enhanced learning module or product concept for your institution or startup.
3-Week EdTech AI Syllabus
~36 hours total • Lifetime LMS access • 1:1 mentor support
Week 1: Foundations of AI in EdTech
- Evolution of digital learning to intelligent systems
- Core AI concepts for non-technical EdTech professionals
- Ethical frameworks and bias risks in educational AI
Week 2: Adaptive Learning & Content Engines
- How platforms like Knewton and Smart Sparrow work
- Personalized content curation and sequencing
- Hands-on with no-code adaptive authoring tools
Week 3: Analytics, Ethics & Certification
- Interpreting dashboards: engagement, completion, mastery
- Designing for accessibility and inclusion
- Certification prep & capstone submission
NSTC‑Accredited Certificate
Share your verified credential on LinkedIn, resumes, and portfolios.
Frequently Asked Questions
No coding is required. This course focuses on the design, evaluation, and implementation of EdTech tools—not building algorithms from scratch. Basic digital literacy is sufficient.
Yes! You’ll explore and configure live adaptive learning platforms, content recommendation engines, and analytics dashboards through guided, no-code labs.
