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ORCIDMatthew L. Bernacki
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2020 – today
- 2024
[j6]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:
Co-designing enduring learning analytics prediction and support tools in undergraduate biology courses. Br. J. Educ. Technol. 55(5): 1860-1883 (2024)- [j5]Shelbi L. Kuhlmann, Robert Plumley, Zoe Evans, Matthew L. Bernacki, Jeffrey Alan Greene, Kelly A. Hogan, Michael Berro, Kathleen M. Gates, Abigail Panter:
Students' active cognitive engagement with instructional videos predicts STEM learning. Comput. Educ. 216: 105050 (2024) - 2023
- [j4]Jonathan C. Hilpert, Jeffrey Alan Greene, Matthew L. Bernacki:
Leveraging complexity frameworks to refine theories of engagement: Advancing self-regulated learning in the age of artificial intelligence. Br. J. Educ. Technol. 54(5): 1204-1221 (2023) - 2020
- [j3]Matthew L. Bernacki, Michelle M. Chavez, Phillip Merlin Uesbeck:
Predicting achievement and providing support before STEM majors begin to fail. Comput. Educ. 158: 103999 (2020)
2010 – 2019
- 2019
- [j2]Candace A. Walkington, Matthew L. Bernacki:
Personalizing Algebra to Students' Individual Interests in an Intelligent Tutoring System: Moderators of Impact. Int. J. Artif. Intell. Educ. 29(1): 58-88 (2019) - 2018
- [c7]Xing Huang, Woonjon Hong, Matthew L. Bernacki:
The Psychological Cost of College Math: Digital Learning Behaviors, Outcomes, and Genders Differences. HCI (30) 2018: 43-50 - 2017
- [c6]Won-Joon Hong, Matthew L. Bernacki:
A Prediction and Early Alert Model Using Learning Management System Data and Grounded in Learning Science Theory. EDM 2017 - 2016
- [c5]Michelle Dominguez, Matthew L. Bernacki, Phillip Merlin Uesbeck:
Predicting STEM Achievement with Learning Management System Data: Prediction Modeling and a Test of an Early Warning System. EDM 2016: 589-590 - 2014
- [j1]Matthew L. Bernacki, Vincent Aleven, Timothy J. Nokes-Malach:
Stability and change in adolescents' task-specific achievement goals and implications for learning mathematics with intelligent tutors. Comput. Hum. Behav. 37: 73-80 (2014) - [c4]Stephen Fancsali, Matthew L. Bernacki, Timothy J. Nokes-Malach, Michael Yudelson, Steven Ritter:
Goal Orientation, Self-Efficacy, and "Online Measures" in Intelligent Tutoring Systems. CogSci 2014 - [c3]J. Elizabeth Richey, Matthew L. Bernacki, Daniel M. Belenky, Timothy J. Nokes-Malach:
Relating a Task-Based, Behavioral Measure of Achievement Goals to Self-Reported Goals and Performance in the Classroom. CogSci 2014 - [c2]Matthew L. Bernacki, Candace A. Walkington:
The Impact of a Personalization Intervention for Mathematics on Learning and Non-Cognitive Factors. EDM (Workshops) 2014 - 2011
- [c1]Daniel M. Belenky, Timothy J. Nokes, Matthew L. Bernacki:
Achievement Goals and Learning in a Lecture Course: Moving Towards Mastery Goals Predicts Deeper Learning. CogSci 2011
Coauthor Index
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