Matthew L. Bernacki

According to our database, Matthew L. Bernacki authored at least 17 papers between 2011 and 2026.

Collaborative distances:

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

2026

Cross-Course Generalizability of SRL-Aligned Predictive Models Using Digital Learning Traces.

Jakob Schwerter, Loreen Sabel, Judith Bose, Matthew L. Bernacki, Di Xu, Marko Schmellenkamp, Thomas Zeume, Philipp Doebler

CoRR, April, 2026

Expanding Design Heuristics for Supporting Impasse-Driven Learning in a Puzzle Video Game Using a Problem-Solving Framework and Multimodal Network Models.

Zack Carpenter, Yeyu Wang, David DeLiema, Panayiota Kendeou, Matthew L. Bernacki, David Williamson Shaffer

Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference, 2026

2025

Interpreting Predictive Learning Sequences in a College Math Course through a Self-Regulated Learning Framework.

Linyu Yu, Peter F. Halpin, Matthew L. Bernacki, Sirui Ren, Robert D. Plumley, Jeffrey Alan Greene

J. Learn. Anal., 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

2023

Leveraging complexity frameworks to refine theories of engagement: Advancing self-regulated learning in the age of artificial intelligence.

Jonathan C. Hilpert, Jeffrey Alan Greene, Matthew L. Bernacki

Br. J. Educ. Technol., September, 2023

2020

Predicting achievement and providing support before STEM majors begin to fail.

Matthew L. Bernacki, Michelle M. Chavez, Phillip Merlin Uesbeck

Comput. Educ., 2020

2019

Personalizing Algebra to Students' Individual Interests in an Intelligent Tutoring System: Moderators of Impact.

Candace A. Walkington, Matthew L. Bernacki

Int. J. Artif. Intell. Educ., 2019

2018

The Psychological Cost of College Math: Digital Learning Behaviors, Outcomes, and Genders Differences.

Xing Huang, Woonjon Hong, Matthew L. Bernacki

Proceedings of the HCI International 2018 - Posters' Extended Abstracts, 2018

2017

A Prediction and Early Alert Model Using Learning Management System Data and Grounded in Learning Science Theory.

Won-Joon Hong, Matthew L. Bernacki

Proceedings of the 10th International Conference on Educational Data Mining, 2017

2016

Predicting STEM Achievement with Learning Management System Data: Prediction Modeling and a Test of an Early Warning System.

Michelle Dominguez, Matthew L. Bernacki, Phillip Merlin Uesbeck

Proceedings of the 9th International Conference on Educational Data Mining, 2016

2014

Stability and change in adolescents' task-specific achievement goals and implications for learning mathematics with intelligent tutors.

Matthew L. Bernacki, Vincent Aleven, Timothy J. Nokes-Malach

Comput. Hum. Behav., 2014

The Impact of a Personalization Intervention for Mathematics on Learning and Non-Cognitive Factors.

Matthew L. Bernacki, Candace A. Walkington

Proceedings of the Workshops held at Educational Data Mining 2014, 2014

Relating a Task-Based, Behavioral Measure of Achievement Goals to Self-Reported Goals and Performance in the Classroom.

J. Elizabeth Richey, Matthew L. Bernacki, Daniel M. Belenky, Timothy J. Nokes-Malach

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Goal Orientation, Self-Efficacy, and "Online Measures" in Intelligent Tutoring Systems.

Stephen Fancsali, Matthew L. Bernacki, Timothy J. Nokes-Malach, Michael Yudelson, Steven Ritter

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2011

Achievement Goals and Learning in a Lecture Course: Moving Towards Mastery Goals Predicts Deeper Learning.

Daniel M. Belenky, Timothy J. Nokes, Matthew L. Bernacki

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011