About
Louis NeJame is an education strategist, researcher, and product manager working at the intersection of innovative technology and learning.
Louis is currently a product manager at McGraw Hill Higher Education where he leads AI products and features that make learning engaging, personalized, and equitable. Most recently, Louis led all aspects from ideation, to build, through go-to-market of McGraw Hill’s AI Reader feature, a generative AI tool that promotes active reading.
In his previous role as a strategy consultant and researcher at Tyton Partners, he worked on Time for Class— a multi-year digital learning research study funded by the Bill and Melinda Gates Foundation, exploring digital learning tools and their impact on equity. His research on generative AI adoption in education has informed product strategies of leading edtech firms, and been quoted by media outlets like Forbes and Campus Technology.
Outside of work, Louis volunteers with the Friends of the Cambridge Community Learning Center, working to provide access to education for adult learners. A graduate of Babson College, Louis holds a B.S. in Business Administration.
Products & projects
Sonar Education AI Podcasts — released September 2024, side project
McGraw Hill AI Reader — released August 2024, lead product manager
Research, blogs & presentations
McGraw Hill, Building AI EdTech: Creating Value, Not Hype — November 2024, panelist
MaxEd, Maximizing Learning Conference: The Prevalence of AI in Education — November 2024, keynote presenter
Online Learning Consortium Accelerate, Decoding AI Readiness: A Roadmap for Institutional AI Implementation — October 2023, co-presenter
Education Philanthropy in the Age of AI: 3 Key Questions to Future-Proof Your Philanthropic Strategy — October 2023, first author
Listening to Learners: Increasing Belonging In and Out of the Classroom — September 2023, co-author
GRAILE AI in Higher-Ed Denver: How Can AI be Used for Systemic Change in Higher-ed — July 2023, co-presenter
Investing in AI Edtech: Cutting Through the Hype — June 2023, first author
Peering Past the Hype: K-12 Teacher and Administrator Perspectives on AI in the Classroom — June 2023, co-author
Time for Class 2023: Bridging Student and Faculty Perspectives on Digital Learning — June 2023, co-author
Generative AI in Higher Education: From Fear to Experimentation, Embracing AI’s Potential — April 2023, first author
Time for Class 2022: The State of Digital Learning and Courseware Adoption — July 2022, co-author
Time for Class 2021: The State of Digital Learning and Courseware Adoption — June 2021, co-author
Mentions & citations
Top Hat: Harnessing Gen-AI for Evidence-Based Teaching — September 2024, research cited
University of Wisconsin Green Bay: AIS4C: A Panel Report on AI in Higher Education from the Perspective of CIO’s — November 2023, research cited
Forbes: OpenAI and Others Help Educators Navigate AI — September 2023, research cited
Lumina Foundation: What does the future of learning look like? Faculty and students weigh in on new tech tools — August 2023, research cited
Plagiarism Today: The Current State of Detecting AI Writing — July 2023, research cited
Campus Technology: More than Half of Students Will use AI Writing Tools Even if Prohibited By Their Institution — April 2023, research cited
Association of College and University Educators: Preparing for the Future Impact of AI on Higher Education — April 2023, research cited