Research

Researching how people learn with technology.

I study the relationship between learners, digital systems, and educational contexts—then use that evidence to design more effective, equitable, and accessible learning experiences.

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Research philosophy

Rather than asking what technology can do, I ask how it can better support learning.

I believe technology alone does not improve learning. Meaningful educational experiences emerge when technology is designed around how people think, learn, and interact.

My research combines Human-Computer Interaction, Learning Sciences, instructional design, and educational technology to understand learner behaviour and translate evidence into practical design decisions.

Research interests

Questions across people, learning, and systems.

Interdisciplinary areas that shape my doctoral and applied research.

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Human-Computer Interaction (HCI)

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Learning Sciences

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Artificial Intelligence in Education

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Human-AI Interaction

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Mobile Learning

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Accessibility & Inclusive Design

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Learning Analytics

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Instructional Design

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Educational Technology

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Multimedia Learning

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Learning Motivation

Current PhD research

Multimedia learning for mobile-first African contexts.

My doctoral research investigates how established multimedia learning principles should be reconsidered for mobile-first learning environments in Sub-Saharan Africa.

I am interested in how learner context, culture, technology access, and responsible AI influence cognitive load, learner engagement, and instructional design decisions.

Field
Computing Science · HCI · Learning Sciences
Context
Mobile-first learning in Sub-Saharan Africa
Focus
Cognitive load · engagement · instructional decisions

Current work

Active lines of inquiry.

Research and practice that inform one another.

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Doctoral research

Reconsidering multimedia learning principles for mobile-first learning environments in Sub-Saharan Africa at the University of Alberta.

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Learning Sciences for Innovators

Designing, evaluating, and improving learning experiences for innovators across Carnegie Mellon University Africa's hub network.

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Undergraduate learning at ALU

Strengthening courses through curriculum review, instructional design consultation, accessibility, and quality assurance.

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Learner-centred usability

Building research-informed professional learning on think-aloud studies, accessibility, qualitative analysis, and responsible AI use.

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Research & practice

Methods for seeing the experience from the learner’s side.

Across CMU-Africa, African Leadership University, ICDL Africa, and independent learning-design work, I use research evidence to improve courses, programmes, and educational technologies.

Usability testingThink-aloud studiesLearner interviewsAccessibility evaluationsHeuristic reviewsLearning analyticsCurriculum reviewLearning experience prototypingQualitative analysisInstructional design

Research outputs

From inquiry to shared knowledge.

In preparation

Journal article

Cautious Innovators

This research explores how African EdTech professionals understand, adopt, and critically evaluate generative AI after participating in a structured three-course professional learning programme.
View publications and research outputs

Research collaborations

Have a question worth investigating together?

I am interested in collaborations around learning technology, HCI, accessibility, AI-supported learning, and African educational contexts.

Discuss a collaboration