Michael Young

Title: Michael Young - Innovator in Automated Bayesian Network-Based Intervention Delivery

Introduction

Michael Young is an accomplished inventor based in San Antonio, TX (US). He has made significant contributions to the field of automated systems, particularly through his innovative patent. His work focuses on enhancing the efficiency of intervention delivery using Bayesian networks.

Latest Patents

Michael Young holds a patent titled "System and method for automated Bayesian network-based intervention delivery." This patent describes systems and methods for automated node status determination. The system includes a memory that contains a Q-matrix, which identifies relationships between standards and assessment items. Additionally, the system features at least one server that provides interim assessments and generates evidence based on responses to the assessment items. This innovative approach allows for the calculation of mastery probabilities using a Bayesian network.

Career Highlights

Michael is currently employed at Pearson Education, Inc., where he applies his expertise in developing educational technologies. His work at Pearson focuses on creating systems that improve learning outcomes through data-driven interventions. With a patent portfolio that includes 1 patent, he continues to push the boundaries of educational innovation.

Collaborations

Michael has collaborated with notable colleagues such as Amy A Reilly and Paul Grudnitski. These partnerships have contributed to the advancement of his projects and the successful implementation of his patented technologies.

Conclusion

Michael Young is a pioneering inventor whose work in automated Bayesian network-based intervention delivery is shaping the future of educational technology. His contributions are vital in enhancing learning experiences through innovative systems.