Shelbi L. Kuhlmann

According to our database, Shelbi L. Kuhlmann authored at least 3 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

Interpretable Predictive Analytics for Online Learning: A Markov-Based Machine Learning Approach.

Chaewon Lee, Lan Luo, Shelbi L. Kuhlmann, Robert D. Plumley, Abigail T. Panter, Matthew L. Bernacki, Jeffrey Alan Greene, Kathleen M. Gates

J. Learn. Anal., 2025

2024

Co-designing enduring learning analytics prediction and support tools in undergraduate biology courses.

Robert D. Plumley, Matthew L. Bernacki, Jeffrey Alan Greene, Shelbi L. Kuhlmann, Mladen Rakovic, Christopher J. Urban, Kelly A. Hogan, Chaewon Lee, Abigail T. Panter, Kathleen M. Gates

Br. J. Educ. Technol., September, 2024

Students' active cognitive engagement with instructional videos predicts STEM learning.

Shelbi L. Kuhlmann, Robert Plumley, Zoe Evans, Matthew L. Bernacki, Jeffrey Alan Greene, Kelly A. Hogan, Michael Berro, Kathleen M. Gates, Abigail Panter

Comput. Educ., 2024