Is adaptive learning just automated tutorials or is it real pedagogy?

True adaptive learning is grounded in mastery learning, cognitive load theory, and differentiated instruction — not just automated page-turning. This training emphasises evidence-based pedagogical design first, then shows how AI enables that pedagogy at scale. You'll learn to design adaptive pathways that genuinely respond to student knowledge gaps, not just linear content with automated grading.

What subjects or courses work best with adaptive learning?

Adaptive learning excels in skill-based domains with clear prerequisite hierarchies: mathematics, programming, languages, sciences, technical certifications. It's less effective for open-ended subjects requiring deep discussion (philosophy, creative writing). During Module 1, we help you identify which courses in your curriculum are best candidates for adaptive pathways based on learning outcome structure.

Do we need to buy expensive adaptive learning platforms or can we build this ourselves?

Both options are covered. For rapid deployment, we'll train you on affordable/free platforms (H5P, Moodle adaptive quiz, Google Forms + Apps Script). For advanced needs, we cover commercial platforms (Knewton, Smart Sparrow) and custom LMS integrations. The training is platform-agnostic — you'll learn adaptive learning design principles that work across tools.

How much content creation work is required to build adaptive pathways?

Initial setup requires 2-3x more effort than traditional linear courses (you need multiple content variations and branching logic). However, AI tools in the training help auto-generate question variations, adaptive hints, and personalized feedback — reducing manual workload by 50-60%. After initial build, adaptive courses require less ongoing maintenance because AI handles differentiation automatically.

Will students feel isolated learning with AI instead of human instructors?

Adaptive learning is designed to free up instructor time for high-value human interaction (discussions, mentorship, project feedback) by automating repetitive explanation and grading. Students get instant AI feedback on mechanics while instructors focus on Socratic dialogue and critical thinking. Module 5 covers how to balance AI automation with human teaching for optimal learning outcomes.

Training Solutions

EDU-ADAPT

Cohort-basedSubsidy eligible

AI Personalised Learning & Adaptive Assessment

Instructional teams can design and deploy AI-adaptive learning pathways improving student mastery by 20-30% and course completion by 15-25%

Specialist training for instructional designers and faculty to build AI-powered adaptive learning pathways, intelligent content recommendations, and formative assessments that adjust to individual student mastery. Designed for institutions implementing competency-based education and differentiated instruction at scale.

Duration3-4 days

InvestmentUSD $15,000 - $28,000

Best forInstructional designers, curriculum developers, and faculty leading personalised learning initiatives in universities, polytechnics, K-12 schools, and corporate training programmes

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THE CHALLENGE

Sound familiar?

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We want to deliver personalised learning but it doesn't scale beyond 20-30 students per instructor.

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Students who grasp concepts quickly are bored, while struggling students fall behind — one-size-fits-all doesn't work.

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We're creating three different versions of the same lesson manually to accommodate different learning levels.

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Formative assessment is too infrequent because grading takes too long — AI could give instant feedback.

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We have no data on which prerequisite knowledge gaps are blocking student progress in advanced topics.

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OUTCOMES

What you'll achieve

Problems you'll solve

Personalised learning limited to small cohorts due to manual workload
One-size-fits-all curriculum causing disengagement for both advanced and struggling students
Formative assessment infrequent due to grading bottlenecks (students get feedback too late)
Prerequisite knowledge gaps undetected until students fail advanced assessments
Content differentiation requiring manual creation of multiple lesson versions

Value you'll gain

Learning Outcomes: Improve student mastery by 20-30% through AI-adaptive content matching skill levels
Engagement: Increase course completion rates by 15-25% with personalised learning pathways
Efficiency: Deliver differentiated instruction to 200+ students (previously 30-50 without AI)
Feedback Speed: Provide instant formative feedback using AI auto-assessment (vs. 3-5 day delay)
Data Insights: Identify prerequisite knowledge gaps and learning blockers with AI analytics

OUR PROCESS

How we deliver results

Step 1

Curriculum Mapping

Analyze current curriculum structure, learning outcomes, prerequisite dependencies, and assessment methods to identify adaptive learning opportunities.

Step 2

Tool Selection & Setup

Evaluate and configure AI adaptive learning platforms (H5P, Knewton, Smart Sparrow) or build custom solutions integrated with your LMS.

Step 3

Hands-On Delivery

Multi-day training building adaptive learning pathways, intelligent content sequencing, and formative assessments with real-time AI feedback.

Step 4

Pilot Course Development

Teams redesign 1-2 courses with AI adaptive learning, build competency-based progression models, and prepare for live student testing.

Step 5

Deployment & Iteration

30-day coaching to deploy adaptive courses with real students, measure learning outcome improvements, and refine AI models based on performance data.

What you'll receive

Adaptive Learning Readiness Assessment
2-3 pilot courses redesigned with AI adaptive pathways
Adaptive learning design playbooks and templates
Pre-configured adaptive learning tools integrated with LMS
Individual learning certificates and competency assessments
30-day post-programme coaching and analytics support

Best for

Instructional designers, curriculum developers, and faculty leading personalised learning initiatives in universities, polytechnics, K-12 schools, and corporate training programmes

IS THIS RIGHT FOR YOU?

Finding the right fit

This is ideal for you if...

Institutions implementing competency-based education or mastery learning frameworks
Faculty teaching skill-based subjects (math, programming, languages, sciences) to 100+ students
Instructional design teams seeking to scale personalised learning beyond small cohorts
Schools with diverse student proficiency levels requiring differentiated instruction

Consider another option if...

Courses requiring primarily open-ended discussion and debate (philosophy, literature seminars)
Institutions without basic LMS infrastructure for content delivery and assessment
Faculty seeking quick fixes without willingness to redesign curriculum structure

See yourself in the list above?

Let's Talk

CURRICULUM

What you'll learn

2 days total

Understand the pedagogical foundations and AI mechanisms behind adaptive learning systems.

What you'll be able to do

Explain how AI adaptive learning differs from traditional linear instruction
Identify course types best suited for adaptive pathways (skill-based vs. conceptual)
Evaluate adaptive learning platforms (H5P, Knewton, Smart Sparrow, custom LMS plugins)
Design competency-based progression models aligned to learning outcomes
Address common misconceptions about adaptive learning (not just automated tutorials)