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Dr. Rima Khatib is an Associate Professor of Business Technology Management at the Lazaridis School of Business & Economics, Wilfrid Laurier University. Her research and teaching address a question the educational sector can no longer avoid: how to prepare students to use generative AI fluently and responsibly, without letting it hollow out the learning itself.
Her work connects AI in education, AI for business, and cybersecurity management, examining how artificial intelligence transforms learning, decision-making, and organizational practice. She designs experiential, hands-on courses that treat generative AI as something students learn to use with judgment, building the guardrails, habits, and critical thinking that responsible use requires, rather than simply banning the tools or adopting them without appropriate scrutiny. Beyond the classroom, she facilitates faculty workshops, advises businesses on AI adoption, and provides one-on-one guidance to educators and professionals integrating AI into their work.
Her research has appeared in journals including Information and Computer Security and has been recognized at conferences such as the International Conference on Information Systems.
Her teaching innovation has been recognized with Laurier's 2026 Donald F. Morgenson Award for Teaching Excellence (Innovation in Teaching) and the 2025 Glenn Carroll Teaching Fellowship for Excellence in Experiential Learning. She holds a PhD in Information Technology Administration from HEC Montréal, University of Montreal.
Rima Khatib’s current research focuses on the use of Generative AI (GenAI) in education to enhance student learning and support effective teaching practices. She explores how GenAI tools can be designed and integrated into the classroom to improve engagement, personalize feedback, and promote student learning. Her work was recognized with a Best Paper nomination at the International Conference on Information Systems (ICIS).
As part of her commitment to educational innovation, Rima has led several GenAI-based projects, contributing to measurable improvements in student learning outcomes. She continues to experiment with GenAI applications across multiple courses, designing tutorials, prompts, and interactive tools to help students engage more deeply with course material.
In parallel, Rima maintains an active research stream in Information and Cybersecurity Management, where she has examined organizational and behavioral factors influencing employee non-compliance with information security policies. Her current work in this area investigates cybersecurity awareness and privacy concerns surrounding emerging digital technologies. She has contributed expert commentary on these topics to media outlets such as CTV News and The Record.
Khatib, R. and Mattalo, B. (2024), "Enhancing learning experiences with GenAI chatbots: A tutorial approach", ICIS Proceedings, 17. Best Paper Nominee. https://aisel.aisnet.org/icis2024/learnandiscurricula/learnandiscurricula/17.
Khatib, R. and Barki, H. (2022), "How different rewards tend to influence employee non-compliance with information security policies", Information and Computer Security, Vol. 30 No. 1, pp. 97-116. https://doi.org/10.1108/ICS-01-2021-0008
Contact Info:
T: 548-889-4494
Office location: 310, SC Johnson 310
Languages spoken: English, French, Arabic