Barbara Oakley
Most organisations invest heavily in learning and development but see little lasting change in what their people can actually do. The gap between training delivered and capability retained is not a content problem, it is a cognitive one. When the science of how humans encode, practise, and recall information is ignored, even well-designed programmes produce forgetting rather than performance.
Barbara Oakley, Distinguished Professor of Engineering at Oakland University and creator of the world’s most widely enrolled online course on learning, translates neuroscience into practical frameworks that help organisations close the gap between training delivered and capability that genuinely lasts.
Full Profile
Why organisations work with Barbara Oakley
- Her “focused mode/diffuse mode” framework gives L&D teams a named, neuroscience-backed model for redesigning how training is structured, not just what it covers. It establishes that structured recovery and retrieval practice matter as much as instruction time, a claim with direct implications for how organisations budget and sequence learning investment.
- “Learning How to Learn,” co-created with Salk Institute neuroscientist Terrence Sejnowski, has been taken by over 4 million people on Coursera. That scale of real-world adoption gives her frameworks empirical grounding that no controlled study can fully replicate.
- Her personal trajectory from U.S. Army linguist to engineering professor, achieved through deliberate adult retraining, is the primary evidence for her central argument that capability can be built at any career stage. For organisations running reskilling programmes, that is more persuasive than theory from a researcher who has never made the journey themselves.
- “A Mind for Numbers” (Penguin, 2014), a New York Times bestseller translated into 13 languages with over 1 million copies sold, means her frameworks already have traction well beyond corporate learning circles. Audiences often arrive familiar with her work, reducing the credibility gap that typically slows training adoption.
- The 2023 Harold W. McGraw Jr. Prize in Education, administered through the University of Pennsylvania Graduate School of Education and widely considered the field’s most prestigious award, recognised Oakley as the inaugural winner in a new Lifelong Learning category – independent confirmation that her contribution to continuous capability development is field-defining.
Biography highlights
- Distinguished Professor of Engineering, Oakland University; Ramón y Cajal Distinguished Scholar of Global Digital Learning, McMaster University
- Inaugural winner of the 2023 Harold W. McGraw Jr. Prize in Education (Lifelong Learning category), administered through the University of Pennsylvania Graduate School of Education
- Co-creator (with neuroscientist Terrence Sejnowski, Salk Institute) of “Learning How to Learn” on Coursera – over 4 million enrolled, one of the most widely taken courses in the history of online education
- Author of “A Mind for Numbers” (Penguin, 2014), a New York Times bestselling science book translated into 13 languages with over 1 million copies sold; subsequent titles include “Mindshift” (2017), “Uncommon Sense Teaching” (2021), and “Learn Like a Pro” (2021)
- Published in Proceedings of the National Academy of Sciences, the New York Times, and the Wall Street Journal; Michigan Distinguished Professor of the Year (2018)
- Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and the American Institute for Medical and Biological Engineering; Coursera’s inaugural “Innovation Instructor”
- Former U.S. Army Captain; recognised as Distinguished Military Scholar
Biography
In 2014, a Coursera course called “Learning How to Learn” attracted over 300,000 students in its first three runs. It now has over 4 million enrolled, making it one of the most widely taken courses in the history of online education. That appetite reflects a gap most organisational training does not close: a practical understanding of how capability is actually built.
Barbara Oakley created that course with neuroscientist Terrence Sejnowski of the Salk Institute. She came to the research through direct experience: a former U.S. Army Captain trained as a linguist, she retaught herself mathematics and engineering entirely as an adult. Her own career transition is the most direct demonstration of her central argument – that capability is genuinely malleable, and that the brain can acquire new domains of expertise at any career stage.
Her “focused mode/diffuse mode” framework, named in “A Mind for Numbers” (Penguin, 2014), gives organisations a practical model for how concentration, structured recovery, and retrieval interact in the learning process. The book reached New York Times bestseller status and has been translated into 13 languages. Subsequent titles including “Mindshift,” “Uncommon Sense Teaching,” and “Learn Like a Pro” extend the framework into career reinvention, teaching design, and AI-era learning.
In 2023, she received the Harold W. McGraw Jr. Prize in Education, the most prestigious award in the field, as inaugural winner in a newly created Lifelong Learning category. She is Distinguished Professor of Engineering at Oakland University and holds a concurrent appointment as Ramón y Cajal Distinguished Scholar of Global Digital Learning at McMaster University.
Key speaking topics
- The neuroscience of effective learning and skill retention
- Workforce reskilling and adult capability development
- Learning frameworks for the age of AI
- Building organisational learning culture
- Career reinvention and professional mindset
- The science of effective training design
- Cognitive performance and focus at work
Ideal for
- CHROs and L&D directors designing or auditing workforce capability programmes
- CEOs and executive teams navigating AI-driven workforce transition and reskilling investment
- Corporate universities and internal learning academies benchmarking training effectiveness
- Boards and transformation leads sponsoring large-scale reskilling or career transition initiatives
Audience outcomes
- A named neuroscience framework (focused vs. diffuse mode) for understanding how attention, structured recovery, and retrieval interact in the learning process
- Evidence-based techniques (retrieval practice, spaced repetition, the Pomodoro method) that individuals and teams can apply immediately to improve learning retention
- A reframe of learning ability from fixed trait to trainable skill, with direct implications for how organisations identify, develop, and retain talent
- Clarity on why conventional training approaches consistently underdeliver, and what research-supported alternatives look like in practice
- A grounded argument for why adult capability development is achievable at any career stage, drawn from both neuroscience and the speaker’s own documented transition