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Vocareum is trusted by leading institutions and teachers for coding instruction
Set up rules and resources for assignments with easy deployment of strategies like peer review and team projects.
No installation – work in the browser with access to all required tools and resources.
Deploy sophisticated and configurable algorithms to measure similarity with other students’ code.
Provide code comment, auto grade, and run plagiarism detection on notebook assignments directly from Jupyter Notebook and more.
I was looking for a platform that would support auto-grading, be very flexible, and scale to a large number of students. Vocareum was a perfect fit.
Setting up large submissions for homework, assigning graders to their submissions, publishing scores – all that was just much easier with Vocareum.
Vocareum’s gallery feature allowed each student of our visualization class to showcase their homeworks and created a collaborative learning environment.
We need learning solutions that are current, easy to use, and scalable across a large number of technical disciplines. Vocareum really fits the bill.
Check out our broad range of cloud-based programming and computing labs
Learn how some of our key customers are using Vocareum to engage their students and improve learning.
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dl2017-05-07 05:03:062017-06-09 19:16:36Four Top Strategies for Elevating CS Classes
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dl2017-05-04 21:17:532017-06-09 19:16:29University of Southern CA
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dl2017-05-04 21:08:322017-06-09 19:16:03Penn State University
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dl2017-05-04 19:50:512017-06-09 19:16:10UC San Diego
Fundamentals of Computing II
Artificial Intelligence
Machine Learning for Data Science
Organizational Methods and Models
Online Masters in Data Science
Intro to Computing with Python
AP Computer Science A
Engineering Computation and Instrumentation
Foundations of AI
Our team is committed to improving the efficiency of teaching computer science at scale with our award winning product.
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We were attracted to Vocareum because it offers an extensive set of utilities built on top of AWS, giving us the flexibility to configure a cost-effective computing hub for the diverse tools we’ll be teaching across our Data Science program.
