Opening Kevin Gakarau's learning experience design portfolio.

Learning & Development · Learning Experience Design

Learning that changes how people work.

I design learning journeys, digital courses, assessments, and capability-building systems that help people understand complex work, practise sound judgment, and perform with confidence.

6+
Years in learning & design
04
Curated learning projects
120
Assessment items designed

What I design

Learning built around performance.

I connect curriculum, digital learning, assessment, and workplace enablement so that each experience supports a real capability.

01

Learning architecture

Learning pathways, curriculum maps, objectives, sequencing, and content structures built around what people need to do.

02

Digital learning

Responsive courses, scenarios, interactions, job aids, and LMS experiences that keep learners active and oriented.

03

Assessment and feedback

Rubrics, question banks, applied tasks, and feedback systems that make progress and judgment visible.

04

Capability development

Onboarding, coaching, quality routines, and enablement resources that support confident performance beyond a course.

Tools & delivery

The platform serves the learning.

I work across authoring, visual design, LMS delivery, assessment, and learning analytics. The tool changes with the audience, environment, and performance need.

Articulate Storyline 360Interactive authoring
CanvaVisual design
H5PLearning interactions
Canvas LMSCourse delivery
Blackboard LearnLMS delivery & QA
Google ClassroomClassroom delivery
Google SitesLearning hubs
Microsoft ExcelLearning analysis
Google SheetsTracking & reporting
TableauLearning dashboards
PythonAnalysis & automation
RResearch analysis
HTML & CSSWeb delivery
LMS setup & QACanvas · Blackboard

Course setup, content organisation, deployment materials, and final learning-quality checks.

Classroom deliveryGoogle Classroom · Sites

Structured course spaces, learning hubs, resources, assignments, and learner-facing guidance.

Tracked eLearningSCORM · xAPI · cmi5 · AICC

Articulate publishing options available when an LMS requires tracking, completion, or assessment data.

Flexible deliveryWeb · Blended · Low bandwidth

Responsive eLearning, microlearning, job aids, facilitation resources, and lightweight web delivery.

Selected learning projects

Explore the learning.

These projects are a curated sample from a broader body of course, curriculum, assessment, and enablement work. Two Articulate courses open with their original navigation, activities, and assessment intact. A bilingual clinic-visit prototype adds a practical example of designing for limited digital confidence. A branching workplace story lets learners practise decisions about AI and sensitive data.

Critical AI practice 9 lessons

From Access to Agency: Integrating and Sustaining Critical AI Use in Teaching

A faculty-development experience that moves beyond AI awareness. Educators examine how generative systems work, evaluate resources for quality and bias, redesign assessment, and build a sustainable practice cycle for responsible classroom use.

Designed for
Higher education faculty
Format
Responsive Articulate 360
What learners explore
  • Map an individual AI teaching stance
  • Distinguish generation from retrieval
  • Align AI use with pedagogical purpose
  • Evaluate quality, bias, and responsibility
  • Make student thinking visible in assessment
  • Redesign a real teaching artifact
  • Sustain change through an eight-week practice cycle
Launch course
Systems analysis 7 lessons

Systems, Not Cars: Rethinking Mobility Competition for Africa

A systems-thinking course that reframes electric mobility as an ecosystem challenge. Learners use a five-layer framework to analyse value, dependence, platform power, procurement, and the choices that can strengthen African capability.

Designed for
Policy, mobility & investment
Format
Responsive Articulate 360
What learners explore
  • Challenge conventional market explanations
  • Apply a five-layer systems framework
  • Analyse concentration and strategic dependence
  • Trace scale, learning, and platform lock-in
  • Examine where value is captured or lost
  • Turn procurement into capability transfer
Launch course
Kliniki Yangu: highlight the date inside a full fictional hospital text message.
Digital confidence 7–10 minutes

Kliniki Yangu: My Clinic Visit

A bilingual learning experience for pregnant women in Kenya who want support with phone use. Learners practise opening a clinic message, highlighting its date, time and hospital, understanding visit updates, keeping appointment details, and asking for clarification. Short tasks, specific feedback and a new-message challenge support practice and transfer.

Designed for
Pregnant women with limited digital confidence
Format
English / Kiswahili web lesson + paper aid
What learners practise
  • Read and highlight details inside a full hospital SMS
  • Find the date, time and clinic, one detail at a time
  • Choose and save a matching card inside the lesson
  • Confirm unclear information with a known clinic contact
  • Choose a question to ask during a visit
  • Apply the skills to a second message with changed details
  • Independent prototype; local review and field testing pending
Try the lesson

Read the case study

An evening workspace setting for the Five Minutes to Send decision story.
Workplace judgement6–8 minutes

Five Minutes to Send

Step into Sam’s customer-support role. A broken-lamp complaint needs a reply, and an AI shortcut is tempting. Decide what to share, check an invented refund promise and hand a corrected draft to the supervisor. Each choice leads to a consequence you can revisit on a sticky-note decision map.

Designed for
Customer-support teams using AI at work
Format
Interactive HTML story & decision map
What learners practise
  • Keep customer identifiers and internal notes out of the prompt
  • Choose the account permitted by the fictional company policy
  • Check an AI-generated promise against the actual service rule
  • Hand a corrected reply to the supervisor for approval
  • Explore alternative decisions and their consequences
Start the story

Open the field guide

Relevant experience

Designing learning. Developing people.

My work spans the full learning cycle: understanding the need, structuring the experience, building the materials, supporting the learner, and strengthening quality over time.

01 Operational experience

Team learning, onboarding, and quality

Led a distributed team of 10 over six years, combining recruitment and onboarding with workload coordination, quality review, performance feedback, capability development, and KPI-based review.

02 Multi-course learning work

Curriculum, assessment, and digital learning

Designed and developed multiple courses used across business, management, finance, leadership, entrepreneurship, and operations classes. The work includes complete 12–15-module builds, course architectures, a 120-item assessment bank, rubrics, practice activities, visual learning assets, and delivery preparation for Canvas and Blackboard.

03 Completed product work

AI-enabled assessment and educator support

As Co-Founder and Head of Product at Rubricly.ai, translated educator needs into rubric-grounded assessment workflows, feedback experiences, onboarding guidance, responsible-use resources, and quality standards.

Evidence-informed practice

Research that improves the learning.

Selected writing that informs how I design learning, assessment, feedback, and responsible AI enablement for educators and knowledge workers.

Position paper Selected writing 2026

The Wrong Instrument

A critical examination of AI-detection scores in education and what assessment practice requires when automated signals can be wrong. The paper centres validity, fairness, due process, and educator judgment.

  • Assessment validity
  • Academic integrity
  • Educator judgment
Document to be added
Research note In development 2026

AI Capability in Higher Education

An inquiry into how institutions can develop educator capability through practical experience, reflection, responsible-use choices, and sustainable professional learning.

  • Faculty development
  • AI literacy
  • Learning design
Document to be added

Research inside the practice

Research is part of the design process. It helps me test assumptions, examine learner risk, and build experiences around defensible evidence rather than fashionable tools.

How I work

From performance need to confident practice.

I begin with the work people need to perform, then design the content, practice, feedback, and support that help them perform it well.

01

Diagnose the need

Clarify the audience, performance context, barriers, and evidence of what success should look like.

02

Architect the journey

Define objectives, sequence the experience, and choose the right mix of instruction, interaction, and support.

03

Build practice and feedback

Use decisions, scenarios, assessments, and feedback to make learner thinking visible and improve performance.

04

Support transfer

Connect the learning to real work through job aids, routines, reflection, coaching, and meaningful measures of capability.

Contact

Need a learning experience or capability system?

Let's talk about curriculum, digital learning, onboarding, assessment, or workforce development.

wawerugakarau@gmail.com