Achievement Goals and Learning in a Lecture Course: Moving Towards Mastery Goals Predicts Deeper Learning. - Daniel M. Belenky; Timothy J. Nokes; Matthew L. Bernacki (CogSci, 2011)

Goal Orientation, Self-Efficacy, and "Online Measures" in Intelligent Tutoring Systems. - Stephen Fancsali; Matthew L. Bernacki; Timothy J. Nokes-Malach; Michael Yudelson; Steven Ritter 001 (CogSci, 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 (CogSci, 2014)

The Impact of a Personalization Intervention for Mathematics on Learning and Non-Cognitive Factors. - Matthew L. Bernacki; Candace A. Walkington (EDM (Workshops), 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)

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 (EDM, 2016)

A Prediction and Early Alert Model Using Learning Management System Data and Grounded in Learning Science Theory. - Won-Joon Hong; Matthew L. Bernacki (EDM, 2017)

The Psychological Cost of College Math: Digital Learning Behaviors, Outcomes, and Genders Differences. - Xing Huang; Woonjon Hong; Matthew L. Bernacki (HCI (30), 2018)

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)

Predicting achievement and providing support before STEM majors begin to fail. - Matthew L. Bernacki; Michelle M. Chavez; Phillip Merlin Uesbeck (Comput. Educ., 2020)

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., 2023)

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)

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., 2024)