Grants per year
Personal profile
Research Interests
Uri Wilensky is a mathematician, educator, learning technologist and computer scientist. He is involved in designing, deploying and researching learning technologies—especially for mathematics and science education. Much of his work of late has focused on the design of computer-based modeling and simulation languages, including networked collaborative simulations. He is very interested in the changing content of curriculum in the context of ubiquitous computation. A particular interest is in complexity and systems thinking.
Education/Academic qualification
Media Arts and Sciences, PhD, Massachusetts Institute of Technology
… → 1993
Mathematics, MA, Brandeis University
… → 1977
Mathematics and Philosophy, BA, Brandeis University
… → 1977
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Students
Engineering & Materials Science
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Social Sciences
learning
Social Sciences
Large scale systems
Engineering & Materials Science
science
Social Sciences
programming
Social Sciences
classroom
Social Sciences
computer game
Social Sciences
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Grants 2001 2021
“CT-ifying” the High-School Science Curriculum to Broaden Participation in Computational Science
11/15/18 → 10/31/19
Project: Research project
curriculum
participation
science
school
visualization
PSC for EAGER: MAKER: A Cultural Framework for Equity in Maker Practices
8/1/17 → 7/31/19
Project: Research project
equity
learning
community
popularization
informal learning
EAGER: MAKER: A Cultural Framework for Equity in Maker Practices
Hooper, P. K., Vossoughi, S., Vossoughi, S. & Wilensky, U.
8/1/17 → 7/31/19
Project: Research project
equity
learning
community
popularization
informal learning
A Whole-School Model for Integrating Computational Thinking in High School Science and Mathematics
Horn, M. S., Jona, K. & Wilensky, U.
9/1/16 → 8/31/19
Project: Research project
school model
mathematics
science
school
curriculum
Center for Prevention Implementation Methodology for Drug Use and HIV (Ce-PIM)
Amaral, L. A. N., Amaral, L. A. N., Benbow, N. D., Birkett, M. A., Birkett, M. A., Brown, C. H., Gallo, C., Gallo, C., Mustanski, B., Phillips ii, G. L., Phillips ii, G. L., Smith, J. D., Teplin, L. A., Vermeer, W., Wilensky, U. & Wilensky, U.
National Institute on Drug Abuse
9/1/16 → 6/30/21
Project: Research project
HIV
Pharmaceutical Preparations
Delivery of Health Care
Community Health Services
Incidence
Research Output 1991 2018
Agent Cognition Through Micro-simulations: Adaptive and Tunable Intelligence with NetLogo LevelSpace
Head, B. & Wilensky, U., Jan 1 2018, Springer Proceedings in Complexity. Springer, p. 71-81 11 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
Microsimulation
Cognition
Agent-based Model
Greedy Algorithm
Model
Characterizing computational thinking in high school science
Swanson, H., Irgens, G. A., Bain, C., Hall, K., Woods, P., Rogge, C., Horn, M. S. & Wilensky, U., Jan 1 2018, In : Proceedings of International Conference of the Learning Sciences, ICLS. 2, 2018-June, p. 871-878 8 p.Research output: Contribution to journal › Conference article
Students
science
school
Engineering technology
Electric network analysis
Cultivating Computational Thinking Practices and Mathematical Habits of Mind in Lattice Land
Pei, C. Y., Weintrop, D. & Wilensky, U., Jan 2 2018, In : Mathematical Thinking and Learning. 20, 1, p. 75-89 15 p.Research output: Contribution to journal › Article
Habits
habits
Mathematics
Learning
learning environment
Designing Educational Video Games to Be Objects-to-Think-With
Holbert, N. & Wilensky, U., Jan 1 2018, (Accepted/In press) In : Journal of the Learning Sciences.Research output: Contribution to journal › Article
Video Games
Particulate Matter
computer game
Molecular Structure
Mechanics
Developing multi-agent-based thought experiments: A case study on the evolution of gamete dimorphism
Aslan, U., Dabholkar, S. & Wilensky, U., Jan 1 2018, Multi-Agent Based Simulation XVIII - International Workshop, MABS 2017, Revised Selected Papers. Dimuro, G. P. & Antunes, L. (eds.). Springer Verlag, p. 47-61 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10798 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Experiment
Experiments
Large scale systems
Complex Systems
Model