Stella Lee
Founder, Paradox Learning
Academic-turned-consultant Dr. Stella Lee is an ed-tech and AI strategist, international speaker, startup advisor, LinkedIn Learning instructor, and technology columnist for the Training Industry Magazine. With over 20 years of experience in digital learning, Stella combines her passion, academic background, and knowledge in visual art, human-computer interaction, adult education, and computer science with her unique global insights for her work with clients such as the UNICEF, United Nations, Asian Development Bank, The Open University, Government of Yukon, WorkSafeBC, TransLink, and InnoEnergy. She is the founder of Paradox Learning Inc., a boutique consulting firm based in Calgary, Canada. Still firmly keeping one foot in academia, Stella continues to research, collaborate, mentor, and teach with universities and institutions worldwide. Stella’s research interests include AI applications for education, ed-tech ethics, personalized and adaptive learning systems, and learning analytics.
Latest from Stella Lee
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Data in eLearning: Analytics for Enhanced Learning Design and Experience
As artificial intelligence (AI) continues to transform various sectors, its influence on eLearning is evident. A crucial facet of AI’s impact lies in its symbiotic relationship with data. In L&D, the convergence of AI and data analytics offers tremendous opportunities for personalized learning, predictive interventions, and streamlined learning design processes. This session is designed to help participants to: As we navigate the nuances of data analytics, emphasis will be placed on kickstarting your analytics journey to ensure thoughtful learning design and meaningful result interpretation.
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Data Ethics in L&D: Navigating Challenges and Promoting Ethical Practices
In this session you will learn the definition of data ethics and its relevance to L&D. The session emphasizes why data ethics matters; citing the impact on learning design, the significance of data in business, the rise of AI, and the consequences of neglecting data ethics. We’ll discuss the challenges around prescriptive learning, unintended bias, and privacy concerns. You will discover actionable steps to ensure data ethics such as asking questions, promoting data literacy, implementing governance and policy, and adopting a Privacy by Design framework. Resources for further learning will be provided.