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Safe AI Experimentation
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GenAI For Campus
Smart Testing Tools
AI Resource Management
Interactive Learning Platform
Safe AI Experimentation
Safe AI Experimentation
Personalized Learning Assistance
Cloud Operations Hub
Versatile Cloud Environments
Cybersecurity Training
Coding and Data Analysis
Digital Teaching Assets
Educational Administration Tools
Tailored Client Education
Workforce Skill Development
GenAI For Campus
Paul Medvedev, Assistant Professor of Computer Science and Engineering and Assistant Professor of Biochemistry and Molecular Biology at Penn State University
“I was looking for a platform that would support auto-grading, be very flexible, and scale to a large number of students.”
Successfully deployed Vocareum in Data Structure and Algorithms class (CMPSC 465) with over 200 students at Penn State. Vocareum helped improve the student experience by providing immediate feedback upon assignment submission.
I am teaching an algorithms and data structure class, not a programming class. However, implementing algorithms is a great way for students to solidify their knowledge. I wanted the focus of the students to be on understanding the logic behind the algorithms, as opposed to figuring out how to write test cases or advancing their programming skills. Vocareum helped me achieve the right balance.
It was possible to set things up on Vocareum so that students got immediate feedback upon submission. Students did not have to wait to find out their grades. We set it up so that students could choose to improve their work until all the test cases passed.
I would like to highlight a couple of points to someone teaching a class with coding assignments. Vocareum has great customer service and that it is a great learning experience for the students in this type of a class to implement the algorithm and get immediate feedback.
Programming assignments are now easier to implement with my classes. A possible alternative would have been to go down the traditional path of a TA writing some scripts for grading and submission. In that case where the student learning experience would have suffered, the students can now get immediate feedback upon submission.