9/1/19-8/31/22 PIs: Carolyn Rose, Majd Sakr, Michael Hilton Carnegie-Mellon University Award Details The World Economic Forum estimates that up to 5 million jobs may be lost to disruptive labor changes by 2020, a development that leads to concerns regarding unemployment, underemployment, and the need for workers to reskill. This project explores how to address this […]
Tag Archives: Computer and information science
Collaborative Research: CSEdPad: Investigating and Scaffolding Students’ Mental Models during Computer Programming Tasks to Improve Learning, Engagement, and Retention
9/1/18-8/31/21 PIs: Peter Brusilovsky University of Pittsburgh (Award Details) Vasile Rus, University of Memphis (Award Details) Computing skills, such as computer programming, are an integral part of many disciplines, including the fields of science, technology, engineering, and math (STEM). Although such skills are in high-demand, and the number of aspiring Computer Science (CS) students is […]
EXP: Readily Available Learning Experiences: Turning the Entire Web into Progressive Examples to Bridge Conceptual Knowledge Gaps for Novice Web Developers
9/01/2017-8/31/2020 PI: Haoqi Zhang, Eleanor O’Rourke Northwestern University Award Details Computing is changing our world, and there is an urgent need to train large numbers of professional developers to meet the demands of our nation’s economy. While it is relatively easy to learn basic computing concepts, acquiring the conceptual knowledge and problem-solving skills of professional […]
EXP: Automatically Synthesizing Valid, Personalized, Formative Assessments of CS1 Concepts
9/01/2017-08/31/2020 PI: Andrew Ko University of Washington Award Details Millions of people worldwide are trying to learn to code in schools, colleges, universities, and online. To do so successfully, they need significant practice and meaningful feedback that responds to their specific confusions and builds upon the knowledge they already have. Unfortunately, good practice content is […]
The cognitive and neural mechanisms of computer programming in young children: storytelling or solving puzzles?
8/01/2017-7/31/2019 PIs: Marina Bers, Tufts University (Award Details) Evelina Fedorenko, Massachusetts Institute of Technology (Award Details) Research and policy changes over the recent years have brought a newfound focus on STEM for young children. Policy decisions regarding how and when to introduce computer science education would benefit from additional data. This project will investigate the […]
EXP: Data-Driven Support for Novice Programmers
9/1/16-8/31/19 PIs: Tiffany Barnes, Min Chi North Carolina State University Award Details The researchers in this project will study fully data-driven systems to provide both scalable and individualized support for learners. Open-ended, media-rich visual programming environments such as Scratch and Snap represent the next-generation genre for engaging and inspiring students to learn programming. However, solving […]
CAREER: Designing a New Nexus: Examining the Social Construction of Electronics and Computing Toolkits to Broaden Participation and Deepen Learning
8/1/16-10/31/19 PI: Kylie Peppler Indiana University Award Details The persistently lopsided gender makeup of computer and information science programs in US universities and colleges suggests that the gender gap in computing education is still obstinately wide. Despite several national initiatives to diversify participation in STEM fields, the underlying culture of computing education remains relatively stagnant, […]
CI-TEAM Demo: Environmental CyberCitizens: Engaging Citizen Scientists in Global Environmental Change through Crowdsensing and Visualization
PIs: Alex Mayer, Robert Pastel, Charles Wallace, Shawn Opplige, Richard Donovan Michigan Technological University Award Details This demonstration project is creating and evaluating a set of activities aimed at preparing a diverse science and engineering workforce with cyberinfrastructure knowledge and skills. A multidisciplinary team of faculty and undergraduate students is collaborating with citizen scientist end […]
DIP: Teaching Writing and Argumentation with AI-Supported Diagramming and Peer Review
PIs: Kevin Ashley, Diane Litman, Christian Schunn University of Pittsburgh Award Details The PIs are investigating the design of intelligent tutoring systems (ITSs) that are aimed at learning in unstructured domains. Such systems are not able to do as much automatically as ITSs working in traditionally narrow and well-structured domains, but rather they need to […]
EXP: Enabling Pedagogical Communication Between Learning and Programming Environments
PI: Michael Clancy University of California-Berkeley Award Details Continuing increases in computer power have led to significant advances in iteractive software-development environments (IDEs) that aim to help programmers plan, write, test, and fix programs efficiently. Learning management systems (LMSs), which make available learning resources and activities, have similarly evolved to support good pedagogical practice, such […]