This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: William Marsh Rice University. Active years: 2019.
Company Filing History:
Years Active: 2019
Title: Innovations in Mathematical Language Processing by Divyanshu Vats
Introduction
Divyanshu Vats is an innovative inventor based in Houston, TX (US). He has made significant contributions to the field of mathematical language processing. His work focuses on enhancing the grading and feedback mechanisms for open response mathematical questions.
Latest Patents
Divyanshu Vats holds a patent for "Mathematical language processing: automatic grading and feedback for open response mathematical questions." This invention involves mechanisms for automatically grading a large number of solutions provided by learners in response to open-ended mathematical questions. Each solution is mapped to a corresponding feature vector based on the mathematical expressions occurring in the solution. The feature vectors are clustered using a conventional clustering method or a presently-disclosed Bayesian nonparametric clustering method. A representative solution is selected from each solution cluster, and an instructor supplies a grade for each of the representative solutions. Grades for the remaining solutions are automatically generated based on their cluster membership and the instructor-supplied grades. The Bayesian method may also automatically identify the location of an error in a given solution, providing valuable feedback to learners.
Career Highlights
Divyanshu Vats is affiliated with William Marsh Rice University, where he continues to develop his innovative ideas. His work has the potential to transform how mathematical assessments are conducted, making them more efficient and effective.
Collaborations
Divyanshu has collaborated with notable colleagues, including Shiting Lan and Andrew E Waters. Their combined expertise contributes to the advancement of research in mathematical language processing.
Conclusion
Divyanshu Vats is a pioneering inventor whose work in mathematical language processing is paving the way for more effective educational tools. His contributions are significant in the realm of automatic grading and feedback systems.