>

Meagan Postema

  • Vanderbilt University

    City Settlers

    City Settlers is a multiplayer city management game/simulation intended to convey complex ideas embedded in enacted social play configurations and moves around sustainable development. Additionally, we are currently extending it through multimodal data platforms for supporting rich real time teacher and learner orchestration tools, as well as pathways to support… Read More

    Jul. 16, 2024

  • Vanderbilt University

    SportSense

    SportSense is aimed at introducing physical computing, data science and AI concepts in sports contexts. Spanning partnerships with schools and out-of-school community spaces like public parks, sports camps, and STEM summer programs, we developed tools and curricula for youth to engage with sports through a computing lens, and learn to… Read More

    Jul. 16, 2024

  • Vanderbilt University

    Examining Multimodal Composing Processes with Generative AI

    The question of how generative Artificial Intelligence (AI) will reshape communication is causing questions and concerns across the field of education, particular literacy and writing classrooms. This work builds upon this developing field by exploring how preservice teachers in literacy education courses multimodally compose with generative AI and their perspectives… Read More

    Jul. 16, 2024

  • Vanderbilt University

    Driving simulation for typical and neurotypical populations

    In this project, we are developing driving simulation scenarios that can be used to help train new drivers with Autism. These scenarios create a range of settings where consideration of other drivers beliefs and actions are increasingly necessary. We are testing the degree to which these scenarios are associated with… Read More

    Jul. 16, 2024

  • Vanderbilt University

    MOMENTS: Using rich analytics and AI to support reflection and learning during simulation training.

    One of the best ways of helping students learn is to have them experience realistic simulations of the situations they will confront in practice. Simulation learning is particularly important in medical settings where students can practice skills without risking patient safety. However, one of the consistent challenges in simulation… Read More

    Jul. 16, 2024

  • Vanderbilt University

    LIVE-MNPS Partnership Phase 1 Winner in Learning Landscape Challenge 

    LIVE, the Learning Innovation Incubator at Vanderbilt University, and Metro Nashville Public Schools (MNPS) have been selected as Phase 1 winners in the Learning Landscapes Challenge. Their project, supported by the Siegel Family Endowment and the Walton Family Foundation, focuses on improving college and career advising by integrating AI technology… Read More

    Jul. 14, 2024

  • Vanderbilt University

    SPICE: Science Projects Integrating Computing and Engineering

     SPICE (Science Projects Integrating Computing and Engineering) is a derivative of C2STEM. It is a 6-week long Earth Sciences curriculum where students first conduct hands-on experiments and then build conceptual models of water runoff (and flooding), then learn about computational constructs and build a computational model for water runoff. Students… Read More

    Jul. 12, 2024

  • Vanderbilt University

    Data-Informed Decision Making with Learning Analytics

    This project explores data-informed decision-making in education, specifically focusing on how teachers and students interact with learning analytics to reflect on and adjust their teaching and learning activities. Considering aspects of integration, agency, reference frame and dialogue, the research investigates the cognitive, psychological and sociocultural factors affecting how students and… Read More

    Jul. 9, 2024

  • Vanderbilt University

    Creating a Smart Rehabilitation Aide with Robust and Explainable AI

    Existing off-site monitoring systems can only detect the types of exercise performed or calculate calories burned, which are insufficient for capturing the quality of the exercise or assessing the patients’ progress. Moreover, modern deep learning-based solutions for healthcare often do not explain their results sufficiently, making it difficult for patients… Read More

    Jun. 21, 2024

  • Vanderbilt University

    SimER: A Gen-AI enabled System for 9-1-1 Call-takers Training in Emergency Response

    SimER is an Generative AI-driven simulation environment to assist call-taker training under emergency response scenarios. SimER tailors the most up-to-date LLMs as its backend agents with a sophisticatedly designed prompt generation algorithm to generate realistic, valid, and equitable calls. SimER debriefs the past simulation and offers advice to the user… Read More

    Jun. 21, 2024