Tag Archives: Modeling and simulation

DIP: Extending CTSiM: An Adaptive Computational Thinking Environment for Learning Science through Modeling and Simulation in Middle School Classrooms

PIs: Gautam Biswas, Douglas Clark, Pratim Sengupta, John Kinnebrew Vanderbilt University Award Details An important issue in education is helping learners understand scientific phenomena, especially those that are too small or large, fast or slow, dangerous or inconvenient to experience and manipulate first hand. A way of helping learners experience such phenomena is through modeling […]

DIP: Modeling in Levels

PIs: Corey Brady, Uri Wilensky Northwestern University Award Details This project aims to tackle a difficult and important concept for learners at all levels: understanding complex systems. Complex systems are systems with many interacting parts and feedback loops and where the phenomena we experience emerge from the interactions between very large numbers of underlying usually […]

INDP: Collaborative Research: Coding for All: Interest-Driven Trajectories to Computational Fluency

PIs: Mitchel Resnick, Natalie Rusk, MIT (Award Details) Mizuko Ito, University of California-Irvine (Award Details) Urs Gasser, Harvard University (Award Details) This Cyberlearning Integration and Deployment (INDP) project brings together an interdisciplinary research team from the MIT Media Lab, the Digital Media and Learning Hub at University of California Irvine, and Harvard University’s Berkman Center […]

DIP: BioSim: Developing a Wearable Toolkit for Teaching Complex Science Through Embodied Play

PIs: Kylie Peppler, Armin Moczek, Joshua Danish Indiana University Award Details In this Cyberlearning: Transforming Education DIP (Development and Implementation) Project, the PIs focus on better promoting science learning in early elementary school (grades K-3). They focus in the discipline of life sciences, with specific focus on complex biological systems. The approach to learning about […]

DIP: The Science Through Technology Enhanced Play (STEP)

PIs: Noel Enyedy, Carlos Wagmister, Jeffrey Burke, Joshua Danish University of California-Los Angeles Award Details In this Cyberlearning: Transforming Education DIP (Development and Implementation) project, the PIs are investigating how embodied play among elementary school students can be used to help them understand scientific phenomena (e.g., the working of forces, complex behaviors of bees). They […]

Common Online Data Analysis Platform (CODAP)

PIs: William Finzer, Daniel Damelin Concord Consortium Award Details, Previous Award Details This project aims to engage students in meaningful scientific data collection, analysis, visualization, modeling, and interpretation. It targets grades 9-12 science instruction. The proposed research poses the question “How do learners conceive of and interact with empirical data, particularly when it has a […]

EXP: Transforming World Language Education using Social Robotics

PI: William Johnson, Kino Coursey Alelo Award Details This Cyberlearning Exploration Project explores the potential for social robotics to transform foreign-language learning. The social robot being developed in this project is designed to act as a language partner for students learning a foreign language, in this case those learning Chinese. It augments classroom instruction, providing […]

EXP: “Earthquake Rebuild” – Mathematical Thinking and Learning via Architectural Design and Modeling

PIs: Fengfeng Ke, Matthew Ventura, Valerie Shute, Kathleen Clark, Gordon Erlebacher Florida State University Award Details In this Cyberlearning: Transforming Education Exploration project, the PIs investigate how to help middle schoolers simultaneously develop mathematics understanding, mathematics skill, and mathematics disposition. They are taking design-based pedagogical approach, having students practice the math they are learning through […]

DIP: Using Dynamic Formative Assessment Models to Enhance Learning of the Experimental Process in Biology

PI: Eli Meir, Joel Abraham, Eric Klopfer, Zhushan Li SimBiotic Software Award Details This project seeks to develop a dynamic formative assessment method for use with virtual labs. The research focuses on how to constrain a virtual lab experience to be amenable to automated feedback on relatively open-ended responses students are generating while still giving […]