Generative AI in Higher Ed: Rethinking Learning strategies for Business Schools
The rise of AI has undoubtedly raised concerns about student assessment, cheating, and ethical considerations amongst Business Schools. Is GenAI an ultimate threat to higher education? Are there opportunities to GenAI in students learning? Can we rethink assessment in the presence of GenAI?
These are questions educators like yourself have been asking since the advent of ChatGPT early in November 2023 and that we will raise in our Panel Discussion this April 25th at 3:30 p.m CEST. Join our top-tier panelists from HEC, ESSEC & EDHEC and panel facilitator Dan Hasan from FeedbackFruits to learn about success stories and gain practical insight into topics such as:
- Navigating the ethical complexities of GenAI in student assessment in top business schools
- Rethinking the role of GenAI in student assessment through backward learning designs
- Best practice on how to leverage GenAI in business schools for the development of key career readiness skills.

You will be able to
Meet our speakers

Natalie Berkman, Ph.D., is a higher education leader and learning professional with over a decade of experience improving student learning and success. After completing a BA in mathematics and literature from Johns Hopkins University, she completed a PhD at Princeton in French literature. Passionate about teaching from early on, she completed her pedagogical training and had her first experiences with the Johns Hopkins Learning Den, Princeton’s McGraw Center for Teaching and Learning, and the Princeton Writing Center. At ESSEC, Natalie head’s the instructional design team in the Knowledge Lab, which is responsible for all of the content creation, LMS management, and training/support for the school’s four campuses. In her role, Natalie has been a part of ESSEC’s Generative AI Focus Group, helping determine the school’s policy about these new tools and training staff and students to use them responsibly.

Nadia has worked with several institutions across Toulouse and Paris, contributing to numerous projects as a digital learning designer. Her experience spans from Higher Education Institutions to Learning Management Providers. Nadia uses AI to generate educational content. Nadia finds that AI powered tools can be particularly effective by providing additional educational material and helping to diversify the resources available to students.
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