EDUSIM
Edusim offers a collaborative platform for learning the English language.
EDUSIM
Industry:
Education Language Learning
Founded:
2014-01-01
Address:
New City, New York, United States
Country:
United States
Website Url:
http://www.edusim.ai
Total Employee:
1+
Status:
Active
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http://www.edusim.ai
- Host name: aacb0a264e514dd48.awsglobalaccelerator.com
- IP address: 75.2.70.75
- Location: Seattle United States
- Latitude: 47.54
- Longitude: -122.3032
- Metro Code: 819
- Timezone: America/Los_Angeles
- Postal: 98108
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EduSim is a platform for constructing simulation environments for education recommender systems (ERSs) that naturally supports sequential interaction with learners. Meanwhile, EduSim allows the creation of new environments that …See details»
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Jan 1, 2021 Edusim offers a collaborative platform for learning the English language. New City, New York, United States; 1-10; Private; www.edusim.ai ; 3,279,650See details»
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Edusim - Wikipedia
Edusim is a cave automatic virtual environment "Immersive Touch" 3D natural user interface (NUI)-based concept of lesson driven (multi-user) 3D virtual worlds on the classroom interactive whiteboard or classroom interactive surface. The Edusim concept is demonstrated by the Edusim free and open-source multi-user 3D Open Cobalt virtual world platform and authoring tool kit modified for th…See details»
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Prior to her work with EDUSIM, Dr. Coelho was the scientific director of the SIEDI Institute, where she coordinated more than 45 courses in medical education and realistic simulation. Between …See details»
EduSim/docs/Tutorial4Env.md at master · bigdata-ustc/EduSim
Env Core is used to model the interactions between Learner and Aid.An Aid could be a tester, a presenter and so on. We first explains what is the interactions and then give some typical …See details»
Edusim - Wikiwand
Edusim is a cave automatic virtual environment "Immersive Touch" 3D natural user interface (NUI)-based concept of lesson driven (multi-user) 3D virtual worlds on the classroom …See details»
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EDUSIM also implements a binary classification model to flag imperfect input video data such as video frames that are outside the specified simulation environment. To assess the efficacy of …See details»
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