Differences in the neural signature of remembering schema-congruent and schema-incongruent events. - Garvin Brod; Ulman Lindenberger; Markus Werkle-Bergner; Yee Lee Shing (NeuroImage, 2015)

Modeling pupillary surprise response in elementary school children with theory-based Bayesian models. - Joseph Colantonio II; Igor Bascandziev; Maria Theobald; Garvin Brod; Elizabeth Bonawitz (CogSci, 2020)

Achievement emotions mediate the link between goal failure and goal revision: Evidence from digital learning environments. - Maria Theobald; Jasmin Breitwieser; Kou Murayama; Garvin Brod (Comput. Hum. Behav., 2021)

Seeing the Error in My "Bayes": A Quantified Degree of Belief Change Correlates with Children's Pupillary Surprise Responses Following Explicit Predictions. - Joseph Colantonio II; Igor Bascandziev; Maria Theobald; Garvin Brod; Elizabeth Bonawitz (Entropy, 2023)

Fostering children's acceptance of educational apps: The importance of designing enjoyable learning activities. - Chimezie O. Amaefule; Jasmin Breitwieser; Daniel Biedermann; Lea Nobbe; Hendrik Drachsler; Garvin Brod (Br. J. Educ. Technol., 2023)

Priors, Progressions, and Predictions in Science Learning: Theory-Based Bayesian Models of Children's Revising Beliefs of Water Displacement. - Joseph Colantonio II; Igor Bascandziev; Maria Theobald; Garvin Brod; Elizabeth Bonawitz (IEEE Trans. Cogn. Dev. Syst., 2023)

Boosting self-regulated learning with mobile interventions: Planning and prompting help children maintain a regular study routine. - Jasmin Breitwieser; Lea Nobbe; Daniel Biedermann; Garvin Brod (Comput. Educ., 2023)

Who benefits from computerized learning progress assessment in reading education? Evidence from a two-cohort pre-post design. - A. M. Alexandra Schmitterer; Leonard D. Tetzlaff; Marcus Hasselhorn; Garvin Brod (J. Comput. Assist. Learn., 2024)

Children's perspectives on self-regulated learning: A co-design study on children's expectations towards educational technology. - Chimezie O. Amaefule; Jan Britzwein; Jason C. Yip 001; Garvin Brod (Educ. Inf. Technol., 2025)