Category Archives: CFLT-DIP

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 […]

DIP: Developing Frameworks, Tools and Social Practices to Support Effective Instructor use of Online Social Learning Networks in Blended Learning Models

PI: Nichole Pinkard, Denise Nacu DePaul University Award Details In this Cyberlearning: Transforming Education DIP (Development and Implementation) project, the PIs focus on understanding the kinds of tools and help for teachers that will support them as they integrate use of learning technologies into their classroom practices. There are a variety of challenges in creating […]

DIP: EMBRACEing English Language Learners with Technology

PIs: Arthur Glenberg, Erin Walker, M. Adelaida Restrepo Arizona State University In this Cyberlearning: Transforming Education DIP (Development and Implementation) Project, the PIs focus on how to address the English-language learning needs of young English-language learners (ELLs). They are enhancing the Moved by Reading (MbR) computer program that has been used to increase the reading […]

DIP: Collaborative Research: Impact of Adaptive Interventions on Student Affect, Performance, and Learning

PIs: Ivon Arroyo, Worcester Polytechnic Institute (Award Details) A. Lynn Stephens, Beverly Woolf, Robert Maloy, U. Mass Amherst (Award Details) Winslow Burleson, Kasia Muldner, Arizona State University (Award Details) A major factor influencing learning is students’ emotions and their general affective state. Given the pivotal role that affect plays in learning activities it is not […]

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 […]

DIP: Collaborative Research: Mixed-Reality Labs: Integrating Sensors and Simulations to Improve Learning

PIs: Charles Xie, Concord Consortium (Award Details) Jennifer Chiu, University of Virginia (Award Details) This collaborative project is investigating the characteristics of a mixed-reality learning environment that combines the rich context and multi-sensory experiences of a physical lab with the interactive simulations of a virtual lab. The hybrid environment integrates sensors and simulations to bring […]

DIP: V-ICED Visually-Integrated Cyber Exploratorium for Design

PIs: Karthik Ramani, Anita Roychoudhury, Niklas Elmqvist, Lorraine Kisselburgh Purdue University The PIs are designing, deploying, and studying learning in the context of a visually-integrated cyber exploratorium for design — an infrastructure for collaborative visual design activities. The project is being carried out in the context of an undergraduate innovative design course, and the investigative […]

DIP: Interaction Research in Complex Informal Learning Environments

PIs: Stephen Uzzo, Marc Levy, Jan Plass, Eric Siegel, Margaret Honey New York Hall of Science Award Details This project brings together an interdisciplinary team of learning science researchers, game designers, game theory researchers, and environmental scientists to engage diverse audiences in the science of sustainability and sustainable development. Taking its inspiration from Buckminster Fuller’s […]

DIP: Collaborative Research: A Personalized Cyberlearning System Based on Cognitive Science

PIs: Richard Baraniuk, Rice University (Award Details) Elizabeth Marsh, Duke University (Award Details) Investigators from Rice University and Duke University will build a Personalized Cyberlearning System, designed around three principles from cognitive science (retrieval practice, spacing, and enhanced feedback), that leverages advances in machine learning and makes use of an existing instructional content material and […]

DIP: Sustaining Ecological Communities Through Citizen Science and Online Collaboration

PIs: Rebecca Jordan, Gregory Newman, Steven Gray, Cindy Hmelo-Silver, Alycia Crall Rutgers University New Brunswick Award Details This project team is investigating the interaction among citizen scientists working both with each other and with professionals, along several dimensions. The cyberlearning environment in which these interactions takes place is built on an existing cyberinfrastructure, the International […]