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The ENGAGE Model™

A Framework for Measuring and Producing Adult Development Through Engagement-Centered Learning

STRATEGIC SYNTHESIS

Engineered for Engagment

The ENGAGE Model™ is a research-backed framework built on one foundational insight: 

If a learner is not engaged, teaching quality doesn't matter—development won't occur.

This isn't motivational rhetoric. It's empirical fact, supported by decades of educational research. Rather than hoping engagement happens, we engineer learning experiences where engagement is inevitable.

THE EVIDENCE IS CLEAR

85-95% of people quit MOOCs before completion (Onah et al., 2014)

Among the 5-15% who finish, most report minimal behavioral change (Kizilcec et al., 2013)

Passive consumption produces minimal retention and almost no sustained behavior change (Freeman et al., 2014)

Information access is not the problem. Engagement is.

The Problem: Information ≠ Development

You've probably experienced this:

  • Sign up for an online course with enthusiasm ✓

  • Watch a few videos, take some notes ✓

  • Life gets busy, fall behind ✗

  • Course sits unfinished ✗

  • Nothing really changes ✗

You're not lazy. You're human. And the platform wasn't designed for transformation—it was designed for content delivery.

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engineered for engagement

The ENGAGE Solution

The ENGAGE Model™ integrates three research-validated methodologies that, when combined, produce sustained development.

PERSONALIZATION

Engagement begins with autonomy.

PEER-LED SMALL GROUPS

Development is social.

PARTICIPATORY INTERACTIVE METHODS

People learn by doing.

Each methodology works individually.

But The ENGAGE Model combines all three for synergistic effects

TOGETHER. THEY CREATE SYNERGY

The Transfromation.

Traditional education measures knowledge — We measure development. 

Engaged learning produces engaged living.

The agency practiced inside the learning experience becomes the agency used in life — in career decisions, community participation, leadership, and personal growth.

This is not theoretical. It is measurable.

CONFIDENCE

"I can do this."

Growth in self-efficacy and agency.

Perspective

“I see differently.”

People learn by doing.

Capability

“I know how to do this.”

Knowledge, skill, and applied competence.

Engagement

"I'm actually doing it."

Engagement begins with autonomy.

RESEARCH FOUNDATION

Personalization

You choose your learning path. We meet you where you are. Your goals drive your journey. Research shows this produces 48-71% higher motivation than prescribed learning.

What This Means in Practice
 

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You Choose Your Learning Path 

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We Meet Your Where You Are

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Your Goals Drive Your Journey

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Flexible Schedules Honor Your Autonomy

What We Measure: Pre/post confidence scales, goal achievement, sustained participation

What Our Data Shows: Average confidence increase of +3-4 points (on 15-point scale, d≈0.6-0.8)

Self-Determination Theory (Deci & Ryan, 2000):​

  • 48-67% higher intrinsic motivation

  • Greater persistence on challenging tasks

  • Improved self-efficacy and confidence

  • Better wellbeing

Adult Learning Theory (Knowles, 1984)

  • Adults are self-directed learners

  • Relevance to life goals predicts engagement

  • Experience as a resource enhances learning

  • Intrinsic motivation sustains effort

Growth Mindset Research (Dweck, 2006)

  • Personalized challenge builds belief in capacity

  • Incremental progress demonstrates improvement

  • Attribution to effort (not ability) sustains motivation

RESEARCH FOUNDATION

Peer-Led Small Groups

You learn with peers, not just from experts. Your team of 4-8 members provides accountability, diverse perspectives, and sustained support. Research shows effect sizes of d=0.51-0.54 for achievement—that's educationally significant.

What This Means in Practice
 

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 Teams of 4-8 members (research-validated optimal size)

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Peer-led facilitation (not expert-led lectures)

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Regular synchronous meetings (accountability and connection)

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Diverse perspectives (challenge assumptions)

Peer groups produce achievement, confidence, perspective shifts, and sustained engagement

What We Measure: Team participation, peer feedback, perspective development, group cohesion

What Our Data Shows: 85%+ attendance rates, significant capability gains, perspective transformation evidenced in narratives

Collaborative Learning Meta-Analysis (Johnson & Johnson, 2009):

  • 1,200+ studies across decades

  • Cooperative learning vs. individual/competitive:

    • Higher achievement: d=0.54

    • Better retention: d=0.51

    • More positive attitudes: d=0.55

Small Group Learning in STEM (Springer et al., 1999):

  • 64 studies, 7,000+ students

  • Small groups (3-5 members) produce:

    • Greater achievement: d=0.51

    • Better attitudes: d=0.55

    • Higher persistence in courses

Self-Efficacy Research (Bandura, 1997):

  • Confidence builds through:

    • Mastery experiences (doing challenging things successfully)

    • Vicarious learning (watching similar peers succeed)

    • Social persuasion (encouragement from credible others) 

  • Peer models more effective than expert models (Schunk, 1985)

Communities of Practice (Wenger, 1998)

  • Learning happens through participation in social groups

  • Knowledge is distributed across community

  • Identity develops through community membership

RESEARCH FOUNDATION

Participatory Interactive Methods

Active learning is SO effective that withholding it from students would be considered unethical.

What This Means in Practice
 

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Discussion-based (not lecture-based)

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Project creation (not passive consumption)

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Application to real life (not just theory)

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Reflection and iteration (not one-and-done)

Active participation produces capability development, perspective shifts, and sustained behavioral change

What We Measure: Knowledge assessments, skill demonstrations, work products, applied learning

What Our Data Shows: Average capability improvement 20-30%, perspective shifts in 70%+ of participants

Active Learning Meta-Analysis (Freeman et al., 2014)

  • 225 studies, 29,300 students

  • Active learning vs. traditional lecture:

    • 6 percentage point increase in exam scores

    • 55% reduction in failure rates (from 32% to 22%)

    • Average effect size: d=0.47 (educationally significant)

Hake (1998) - 6,000+ physics students

  • Interactive engagement: learning gains 0.48

  • Traditional lecture: learning gains 0.23

  • Active learning literally doubled effectiveness

Bloom's Taxonomy (Anderson & Krathwohl, 2001):

  • Lower-order thinking (remember, understand) can occur through lecture

  • Higher-order thinking (apply, analyze, evaluate, create) requires active practice

  • Creation produces deepest learning

Experiential Learning Theory (Kolb, 1984):

  • Learning is a cycle:

    • Concrete experience (doing)

    • Reflective observation (thinking about it)

    • Abstract conceptualization (forming theories)

    • Active experimentation (testing theories)

  • All four stages require participation

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