4/1/19-3/31/21 PI: Francesco Cafaro Clark University Award Details People are increasingly exposed to data and datasets in everyday life, in domains from health and science to news and policy. This raises important questions about how to help non-specialists make sense of those data, in particular, around understanding how to think about correlation and causation. These […]
Tag Archives: Data science learning
EAGER: Developing Teaching Assistant Expertise with a Sensor-Based Learning System
9/01/2017-8/31/2019 PI: Amy Ogan, John Zimmerman Carnegie-Mellon University Award Details While a college degree is essential for many jobs or career paths, many college students receive a less than ideal educational experience. For years, research has shown that moving away from large lectures and increasing student engagement and participation significantly improves learning. However, most colleges […]
Collaborative Research: Designing the Impact Studio — Dynamic Visualizations in the Write4Change Networked Community
10/1/16-9/30/18 PIs: Glynda Hull, University of California-Berkeley (Award Details) Amy Stornaiuolo, University of Pennsylvania (Award Details) The amount and variety of information generated and shared online requires young people to be adept at effectively producing, analyzing, assessing, using, visualizing, and circulating data. They must be data literate. This project investigates how adolescents develop data literacy […]
NetStat: EAGER: A Representation and Communication Infrastructure for Classroom Collaboration in Data Modeling and Statistics
9/1/16-8/31/20 PI: Corey Brady Vanderbilt University Award Details This project aims to enhance collaborative and participatory learning in classrooms, an important and enduring theme across both research and practice. The project will use design-based research to build and study NetStat, a classroom network system for supporting collaborative activities in data modeling and statistics. This project’s […]
DIP: Data Science Games – Student Immersion in Data Science Using Games for Learning in the Common Online Data Analysis Platform
PIs: William Finzer, Timothy Erickson, Frieda Reichsman, Michelle Wilkerson-Jerde Concord Consortium Award Details This project refines and studies technology for ‘data science games’: essentially, a game is embedded in a data analysis environment, in which the game can only be ‘won’ by doing data modeling. Research will examine how students learn to analyze and model […]
DIP: Collaborative Research: STEM Literacy through Infographics
PIs: Joseph Polman and Engida Gebre, University of Colorado at Boulder (Award Details) Andee Rubin, TERC Inc (Award Details) Cynthia Graville, Saint Louis University (Award Details) An important issue in education is helping youth make sense of the scientific, technological, socio-scientific, and health data that is available. Technology exists for creating infographics to help others […]
CI-TEAM Demo: Adventure Learning through Water and MOSS
PIs: Brant Miller, Karla Bradley Eitel, Jan Eitel, George Veletsianos University of Idaho, University of Texas at Austin Award 1 Details, Award 2 Details The project “CI-TEAM Demo: Adventure Learning through Water and MOSS” is engaging K-12 students throughout Idaho with meaningful inquiries into water resource issues through outdoor data-collection expeditions supported via a novel […]
EXP: Augmenting Household Technologies for Learning and Whole Family Participation: Heating and Cooling Control as an Exploratory Case
PIs: Michael Horn, Reed Stevens Northwestern University Award Details This project is exploring possibilities in promoting learning activities among urban families in the informal setting of their homes. The investigation is in the context of energy management. The PIs are building a tablet-based simulation and supporting resource materials that are being integrated with smart programmable […]
INSPIRE: Studying and Promoting Quantitative and Spatial Reasoning with Complex Visual Data Across School, Museum, and Web-Media Contexts
PIs: Leilah Lyons, Joshua Radinsky, Andrew Beveridge University of Illinois at Chicago Award Details This is a research program to promote and study effective strategies and habits of mind for understanding complex geospatial data using interactive visualization tools, and to generate and test design strategies for such tools in three contexts: an online data access […]
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 […]
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