This is a reminder that the AI in Education Custom Bots/GPTs March Showcase is today at 12pm ET and will feature Renee Parker, an experienced educational designer and bot-builder from the University of New England.

I’m also happy to share information about our April Showcase below, which will feature Daniel Ernesto Ronderos López (Universidad de los Andes) and Carsten Bergenholtz (Aarhus University).

Hope to see you there!

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🗓️ March Showcase: Tuesday, March 11th, 12:00pm ET

💻 Registration: https://us02web.zoom.us/meeting/register/Mi8YfGfpRe2wctHbTpovYQ

Guest Presenter: Renee Parker

Renee Parker, is a seasoned instructional designer with a passion for innovation, AI integration, and learner-centered design. With a knack for Action Mapping and a working knowledge of Storyline, Renee excels at developing engaging and accessible learning experiences. She is dedicated to enhancing course development and SME collaboration through AI, while also focusing on neurodivergent training. She brings a dynamic and forward-thinking approach to education and professional development.

In this workshop, participants will explore how to build and use AI bots to enhance and streamline instructional design. Attendees will gain hands-on experience in creating and optimizing bots to boost efficiency of tedious tasks, so that more time can be spent on creativity. Whether you’re brand new to AI or looking to refine your approach, this workshop will provide actionable insights to integrate AI-driven bots into your instructional design strategy.

🗓️ April Showcase: April 8th, 10:00am ET, 16:00 CET

💻 Registration: https://us02web.zoom.us/meeting/register/ihWGs49UQTeSbiU8lieJXg

Guest Presenters: Daniel Ernesto Ronderos López, Carsten Bergenholtz

Daniel Ernesto Ronderos López has focused his work on developing methodologies that allow Architecture and Design students to be more competitive in the job market, combining his professional and academic experience. He is an Assistant Professor and researcher at the Faculty of Architecture and Design at the Universidad de los Andes and a founding partner of AE Architectural Engineering.

For the showcase, Daniel will present “The Infinite Student: A Methodology to Learn by Teaching Using Generative AI,” a framework that transforms students into educators by engaging them in the training of a generative AI chatbot. This methodology employs a metaphor that compares the AI’s pyramid of needs to an iceberg. It uses the design thinking process (empathizing, defining, ideating, and delivering) to penetrate the fog of numerous generative AI tools and expose the essential human-centered intelligence underlying their construction and refinement. In this dual-role model, students rigorously research architectural and design concepts by analyzing artistic sources, biographical materials, and conducting field research with advanced HDC tools and methods while teaching the AI to function as a knowledgeable partner. Through a collaborative process of prompt engineering and systematic error analysis, they iteratively refine the AI’s responses, deepening their subject mastery and embodying the supermind concept (Rick et al., 2023), where collective human and artificial intelligence converge to achieve superior problem-solving outcomes. A key innovation in this framework is the AI Pertinence Index (AIPI), which adapts established metrics such as the NASA Task Load Index (NASA-TLX) and the Creativity Support Index (CSI) (Carroll & Latulipe, 2009; Cherry & Latulipe, 2014) alongside a novel Capacity Augmentation Index (CAI) to quantitatively assess how effectively generative AI tools balance task load with creative and capacity-enhancing contributions. Overall, this methodology challenges traditional pedagogical models and fosters a dynamic, continuous learning environment that equips future educators with the critical skills to harness emerging technologies in architectural design education through a reflective and iterative approach to AI integration.

Carsten Bergenholtz is an Associate Professor in the Department of Management at Aarhus University. His research areas cover collective problem-solving, as well as Generative AI. A core topic in his research and teaching is investigating how to leverage Generative AI (GenAI) technologies in higher education, particularly in developing customized chatbots that are aligned with a particular class’ learning objective. His work has been published in Organization Science and Entrepreneurship Theory & Practice. During the past few years he has also been part of shaping Aarhus University’s strategic approach to scalable, effective, and ethically sound AI integration.

For the showcase, Carsten will present “Phil,” a customized Azure-based chatbot developed to assist 550 bachelor students navigating a mandatory Philosophy of Science course. Phil uses a tailored RAG setup, ensuring accurate, curriculum-focused answers without (almost) no hallucinations. With over 20,000 student interactions already, a RAG-based solution offers a practical, reliable, and scalable approach to supporting large classes.

References:

Carroll, E. A., & Latulipe, C. (2009). The creativity support index. Spotlight on Works in Progress. https://doi.org/10.1145/1520340.1520609

Cherry, E., & Latulipe, C. (2014). Quantifying the Creativity Support of Digital Tools through the Creativity Support Index. ACM Transactions on Computer-Human Interaction, 21(4), 1–25. https://doi.org/10.1145/2617588

Rick, S. R., Giacomelli, G., Wen, H., Laubacher, R. J., Taubenslag, N., Heyman, J. L., Knicker, M. S., Jeddi, Y., Maier, H., Dwyer, S., Ragupathy, P., & Malone, T. W. (2023). Supermind Ideator: Exploring generative AI to support creative problem-solving. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2311.01937