> [!summary]+ Summary > This page explains a workshop designed to address the potential for genAI to aid personalized learning. The workshop is introductory and highlights what genAI is, the various tools created for its use, and demonstrates example student and instructor uses. (See the bottom of this page for the results of this workshop.) # genAI for Personalized Student Learning **Delivery details:** <u>Date</u>: Fall 2023, Spring 2024, and Fall 2024 <u>Target audience</u>: University faculty and staff <u>Delivery format</u>: Remote/Zoom <u>Duration</u>: 60 minutes ## About the workshop This workshop was the first in a series of generative Artificial Intelligence (genAI) focused workshops I created from 2023 to 2025. It was also one of many joint partnerships with Educational/Faculty Developers. Early on with the emerged of genAI I became highly curious in how the technology may lead to *real* **personalized learning**. Prior to this personalized learning had been driven by highly inefficient ideas of 1 instructor customizing content for each individual student given data provided from an learning management system, assessments, observations, etc. Myself and my partners, wanted to demonstrate how genAI may be used by students to personalize their learning experience, as well as how instructors could plan for that. This also involved addressing what is genAI, what kinds of genAI are available, and recommendations for what to think about as an instructor. ### Description > In this workshop we will address how generative Artificial Intelligence (genAI) offers a new take on personalized student learning. Unlike years past where personalized learning involved big IT systems and instructors tailoring plans for individuals, genAI provides students opportunities to learn in their own way. Along with discussion, we will highlight strategies and tools students can use with genAI to learn, including demonstrating these with various prompts. This workshop is at the introductory level, which means that it assumes no prior knowledge. ### Learning objectives 1. Use generative Artificial Intelligence (genAI) to create personalized learning experiences for students. 2. Examine the use of genAI in personalized learning from the perspective of students. 3. Develop strategies for writing detailed prompts to receive helpful outputs from genAI tools. ### Workshop goal **The goal was for participants to be introduced to concepts for how genAI may be used as part of teaching and learning to create a personalized experience.** We wanted to lean into the ideas of what could be done with it, as well as laying some groundwork for discussion on what it is – a partner/collaborator, assistant, or tool. (This was ultimately explored in the workshops "[[2024, Tool or partner]]" and "[[2024, Learning partnership]]".) ## Slide deck <div class="container"><iframe class="responsive-iframe-sd" src="https://1drv.ms/b/c/13829E5D2EB238DE/IQT358zZRxXySrmna-K_gYVdATPQnzFHPZFOa1s8-TG_BZU" width="100%" height="400" frameborder="0" scrolling="no"></iframe></div> *Note: These slides were built using Google Slides. Generative Artificial Intelligence (genAI) was not used to create or write any aspect of the slide content. All stock images were provided by [Adobe Stock](https://stock.adobe.com)* ## 🎯 Results This workshop was repeated multiple times and laid a foundation among participants for genAI as a personal tool. Participants reported having a good sense of where to start with genAI and returned for further guidance after each session. Participation was consistently around 15, which was well above the average for departmental workshops. ## Resources - Mollick, Ethan & Mollick, Lilach. (2023). *[Assigning AI: Seven Approaches for Students, with Prompts](https://arxiv.org/pdf/2306.10052).* SSRN Electronic Journal. 10.2139/ssrn.4475995. - Schroeder, R. *[Generative AI: Your Assistant as an Administrator or Faculty Member](https://www.insidehighered.com/opinion/columns/online-trending-now/2023/11/08/generative-ai-your-assistant-administrator-or).* Inside Higher Ed. November 8, 2023