Mark E Liedtke is a notable inventor based in Castle Rock, CO (US). He has made significant contributions to the field of digital assessments through his innovative patents. With a total of 2 patents, his work focuses on enhancing the accuracy and efficiency of assessment performance through machine learning.

Latest Patents

Liedtke's latest patents include "Systems and methods for predictive modelling of digital assessment performance." This patent describes a machine learning model that determines the probability of a user responding correctly to a digital assessment item on their first attempt. The model processes feature data related to both the user and the assessment item, allowing for real-time or near-real-time calculations based on user activity and responses.

Another significant patent is "Systems and methods for assessment item credit assignment based on predictive modelling." This invention involves an adaptive learning engine that assesses the likelihood of a user answering an assessment item correctly on their first attempt. By applying machine learning models to user and assessment data, the engine can recommend assessment items for which users should be preemptively assigned credit.

Career Highlights

Mark E Liedtke is currently employed at Pearson Education, Inc., where he applies his expertise in machine learning and predictive modelling. His work is instrumental in developing advanced educational technologies that enhance learning experiences.

Collaborations

Liedtke collaborates with talented professionals such as Sumona J Routh and Clayton Tong. Their combined efforts contribute to the innovative projects at Pearson Education, Inc.

Conclusion

Mark E Liedtke is a pioneering inventor whose work in predictive modelling is shaping the future of digital assessments. His contributions are vital for improving educational technologies and enhancing user experiences in learning environments.