Learners are active agents.
Students do not arrive as empty vessels. They bring histories, knowledge, identities, and purposes that should meaningfully shape the learning experience.
Personal philosophies · Pedagogy · Research
My approach begins with the learner, but it does not end in the classroom. It follows knowledge outward—to curricula, institutions, technologies, and the structures of power that decide what education can become.
Three commitments
I do not believe one theory can account for the complexity of learning. My practice draws from empirical, developmental, constructivist, humanistic, and critical traditions.
Students do not arrive as empty vessels. They bring histories, knowledge, identities, and purposes that should meaningfully shape the learning experience.
Strong teaching moves between directive and non-directive practice, offering structure when it is useful and autonomy when learners are ready to exercise it.
Curricula, technologies, and institutions distribute authority. Teaching should help learners recognize those arrangements and develop the judgment to question them.

An evolving pedagogical practice
My foundation in psychology initially drew me toward behaviourism and its empirical account of learning. That lens remains useful, but it cannot explain the whole learner. My philosophy expanded to include cognitive development, social constructivism, humanistic education, and critical pedagogy.
I understand students as active, self-determining participants in their education. Their prior knowledge is not an obstacle to instruction; it is the material from which meaningful learning begins. Inclusion therefore requires more than access. It requires teaching that can respond to different histories, strengths, needs, and ways of making sense.
In practice, I move between directive and non-directive teaching. Some moments call for clear modelling, feedback, and structure. Others call for inquiry, dialogue, and productive autonomy. The responsibility of the educator is to judge which form of support enables the learner to move forward.
Education should enlarge a learner's capacity to act—not simply improve their capacity to comply.
The future of education
I remain concerned by educational models that reduce learning to employability, efficiency, or measurable output. The humanities matter because they cultivate interpretation, moral reasoning, historical awareness, and the ability to examine the assumptions a society has learned to treat as natural.
Artificial intelligence makes this work more urgent. Digital systems now participate in the production, organization, and circulation of knowledge. They influence what becomes visible, whose expertise appears legitimate, and which forms of action institutions make possible.
Research areas
Education and Information Systems meet in my work through a common concern: how technologies reorganize knowledge, work, authority, and opportunity.
How generative AI mediates curriculum-making and changes the relationships among governing bodies, institutions, educators, and learners.
How digital systems move from tools to organizational infrastructure, reshaping work, expertise, coordination, and institutional decision-making.
Who gains agency, visibility, and legitimacy when algorithmic systems participate in decisions that were once understood as human judgment.
How culture, policy, and digital media shape learning while reproducing—or unsettling—larger social and educational inequalities.
Academic contributions
My instructional work spans writing, psychology, childhood and youth studies, and organizational behaviour. Across each setting, the through-line is helping learners make difficult ideas usable.
Western University · London, Ontario
WRITING 1032F/G
WRITING 2101F/G
WRITING 2230F/G
WRITING 3700F/G
PSYCH 2610
CYS 1025
Western University · London, Ontario
MOS 2181
Scholarship in practice
A study of how policy, institutions, educators, teacher candidates, and generative AI collectively shape curriculum, knowledge, and educational authority.
Doctoral coursework and research training examining digital transformation, sociotechnical change, and the organizational implications of artificial intelligence.
A critical discourse analysis of autonomous AI, white- and gold-collar careers, institutional adoption, and the changing boundaries of human expertise.
International workshop and open educational work helping learners critically evaluate AI-generated writing, systems, and claims rather than merely detect their use.
The continuing question
How can education make people more capable of understanding—and contesting—the systems reorganizing their lives?Explore selected work