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 […]
Tag Archives: Computational thinking
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, […]
Track 2: CS10K: BJC-STARS: Scaling CS Principles through STARS community & leadership development
PI: Tiffany Barnes North Carolina State University Award Details North Carolina State University proposes BJC-STARS, a CS10K proposal to broaden access to computing education through engaging colleges and universities to prepare and support regional communities of high school teachers to teach the Beauty and Joy of Computing (BJC) Computer Science Principles course. The effort leverages […]
EXP: Learning Parallel Programming Concepts Through an Adaptive Game
PIs: Santiago Ontanon, Brian Smith, Jichen Zhu, Bruce Char Drexel University Award Details This project will develop educational games that adapt to the skill level of the user and will conduct research on using them to teach concepts from computer programming. Modern computing is increasingly handled in a parallel fashion and despite the growing body […]
EXP: Understanding Computational Thinking Process and Practices in Open-Ended Programming Environments
PIs: Shuchi Grover, Marie Bienkowski, John Stamper SRI International Award Details This project brings together two approaches to help K-12 students learn programming and computer science: open-ended learning environments, and computer-based learning analytics, to help create a setting where youth can get help and scaffolding tailored to what they know about programming without having to […]
CAREER: Constructing Modern and Inclusive Trajectories for Computer Science Learning
PI: R. Benjamin Shapiro University of Colorado at Boulder Award Details Tufts University proposes a CAREER award that will investigate new ways of teaching computer science to middle- and high-school students. Many of the computing technologies that youth use every day are built using ideas and techniques from computer science that are well outside of […]
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 […]
EAGER: Automatic Classification of Programming Difficulties by Mining Programming Events
PI: Prasun Dewan University of North Carolina at Chapel Hill Award Details Today, when a student or industrial programmer faces difficulty in some task assigned to him/her, this event often goes unrecorded and unobserved by others. As a result, it is not possible to use mechanisms to ameliorate the effect of the difficulty. In this […]
Virtual Environment Interactions: Exploring Grounded Embodied Pedagogy in Support of Computational Thinking
PIs: Shaundra Daily, Sabarish Babu, Sophie Joerg, Alison Leonard Clemson University Award Details This INSPIRE award is partially funded by the CE21 Program in the Division of Computer & Network Systems in the Directorate for Computer & Information Science & engineering (CISE), the Cyberlearning Program in the Division of Information & Intelligent Systems in the […]
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 […]