The platform supports several different question varieties and also different types of informational content, each of which can contain images, vector graphics, videos and dynamic data charts. The content and quiz creation engine are powered by the Wolfram Language. They created a simple computable language for teachers to create math-rich content that allows arbitrary randomization, thus enabling us to serve different questions based on the same concepts.
Deep randomization of questions prevents cheating or copying in online assessments, a problem that needs to be addressed for large classes. In this talk, Ambar Jain presents an assessment platform developed by the Center for Research in Advanced Technology for Education in Science (CREATES) at the Indian Institute of Science Education and Research, Bhopal (IISERB) that serves deeply randomized synchronous and asynchronous assessments to students.
Wolfram Data Framework Semantic framework for real-world data.
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