Los Angeles, CA, United States of America

Colin Bennett Honigman

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Colin Bennett Honigman

Introduction

Colin Bennett Honigman is a notable inventor based in Los Angeles, California. He has made significant strides in the field of education technology, particularly in the evaluation of media-rich coursework. His innovative approach leverages feature extraction and machine learning to enhance the grading process for assignments submitted in various media formats.

Latest Patents

Colin holds a patent for "Feature extraction and machine learning for evaluation of image- or video-type, media-rich coursework." This patent addresses the limitations of conventional techniques in evaluating assignments that include programming, signal processing, or other media-rich content. His invention allows for scalable and uniform grading schemes, accommodating large numbers of student submissions. The techniques developed enable instructors to refine assignments based on classifier feedback, thus improving the educational experience.

Career Highlights

Colin is currently associated with Kadenze, Inc., a company that focuses on providing innovative online learning experiences. His work at Kadenze emphasizes the integration of technology in education, particularly in the arts and creative fields. His contributions have been instrumental in advancing how coursework is evaluated in a digital landscape.

Collaborations

Colin has collaborated with notable figures in the field, including Ajay Kapur and Perry Raymond Cook. These partnerships have further enriched his work and expanded the impact of his innovations in educational technology.

Conclusion

Colin Bennett Honigman's contributions to the field of education technology through his patent and work at Kadenze, Inc. highlight the importance of innovation in enhancing learning experiences. His efforts in utilizing machine learning for grading media-rich coursework represent a significant advancement in the educational landscape.

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