Inconsistencies Among Beliefs as a Basis for Learning via Thought Experiments. - Igor Bascandziev (CogSci, 2020)

Prosodic Features Carry Information About a Question's Intent. - Igor Bascandziev; Patrick Shafto; Elizabeth Bonawitz (CogSci, 2020)

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)

The Sound of Pedagogical Questions. - Igor Bascandziev; Patrick Shafto; Elizabeth Bonawitz (CogSci, 2021)

Young children learn equally from real and thought experiments. - Igor Bascandziev; Susan Carey (CogSci, 2022)

Can children recognize pedagogical intent in the prosody of speech? - Igor Bascandziev; Michael LaSorsa; Patrick Shafto; Elizabeth Bonawitz (CogSci, 2022)

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)

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)

Thought Experiments as an Error Detection and Correction Tool. - Igor Bascandziev (Cogn. Sci., 2024)