Paulo Carvalho

According to our database, Paulo Carvalho authored at least 34 papers between 2011 and 2024.

Collaborative distances:

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

2024

Uncovering Name-Based Biases in Large Language Models Through Simulated Trust Game.

Yumou Wei, Paulo F. Carvalho, John Stamper

CoRR, 2024

Beyond Repetition: The Role of Varied Questioning and Feedback in Knowledge Generalization.

Gautam Yadav, Paulo F. Carvalho, Elizabeth A. McLaughlin, Kenneth R. Koedinger

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Content Matters: A Computational Investigation into the Effectiveness of Retrieval Practice and Worked Examples (Extended Abstract).

Napol Rachatasumrit, Paulo F. Carvalho, Sophie Li, Kenneth R. Koedinger

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Beyond Accuracy: Embracing Meaningful Parameters in Educational Data Mining.

Napol Rachatasumrit, Paulo Carvalho, Kenneth R. Koedinger

Proceedings of the 17th International Conference on Educational Data Mining, 2024

2023

What Makes Problem-Solving Practice Effective? Comparing Paper and AI Tutoring.

Conrad Borchers, Paulo F. Carvalho, Meng Xia, Pinyang Liu, Kenneth R. Koedinger, Vincent Aleven

Proceedings of the Responsive and Sustainable Educational Futures, 2023

Content Matters: A Computational Investigation into the Effectiveness of Retrieval Practice and Worked Examples.

Napol Rachatasumrit, Paulo F. Carvalho, Sophie Li, Kenneth R. Koedinger

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2022

A Computational Model of Context-Dependent Encodings During Category Learning.

Paulo F. Carvalho, Robert L. Goldstone

Cogn. Sci., 2022

Learning depends on knowledge: The benefits of retrieval practice vary for facts and skills.

Paulo Carvalho, Napol Rachatasumrit, Kenneth R. Koedinger

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Educational Equity Through Combined Human-AI Personalization: A Propensity Matching Evaluation.

Danielle R. Chine, Cassandra Brentley, Carmen Thomas-Browne, J. Elizabeth Richey, Abdulmenaf Gul, Paulo F. Carvalho, Lee G. Branstetter, Kenneth R. Koedinger

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2020

The attentional demands of learning by doing: A developmental study.

Karrie E. Godwin, Paulo Carvalho

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Comprehensive Views of Math Learners: A Case for Modeling and Supporting Non-math Factors in Adaptive Math Software.

J. Elizabeth Richey, Nikki G. Lobczowski, Paulo F. Carvalho, Kenneth R. Koedinger

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Comprehension Factor Analysis: Modeling student's reading behaviour: Accounting for reading practice in predicting students' learning in MOOCs.

Khushboo Thaker, Paulo Carvalho, Kenneth R. Koedinger

Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Square it up!: How to model step duration when predicting student performance.

Irene-Angelica Chounta, Paulo F. Carvalho

Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

2018

Embedding Experiments: Staking Causal Inference in Authentic Educational Contexts.

Benjamin A. Motz, Paulo F. Carvalho, Joshua de Leeuw, Robert L. Goldstone

J. Learn. Anal., August, 2018

Will Time Tell? Exploring the Relationship Between Step Duration and Student Performance.

Irene-Angelica Chounta, Paulo Carvalho

Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

Analyzing the relative learning benefits of completing required activities and optional readings in online courses.

Paulo F. Carvalho, Min Gao, Benjamin A. Motz, Ken Koedinger

Proceedings of the 11th International Conference on Educational Data Mining, 2018

Week-long practice matching 2D objects by shape improves 3D shape bias and accelerates children vocabulary growth.

Paulo F. Carvalho, Linda B. Smith

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Not all Active Learning is Equal: Predicting and Explaining Improves Transfer Relative to Answering Practice Questions.

Paulo F. Carvalho, Kody Manke, Ken Koedinger

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Understanding the Dynamics of Learning: The Case for Studying Interactions.

Paulo F. Carvalho

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Is there an explicit learning bias? Students beliefs, behaviors and learning outcomes.

Paulo F. Carvalho, Elizabeth A. McLaughlin, Ken Koedinger

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

The most efficient sequence of study depends on the type of test.

Paulo F. Carvalho, Robert L. Goldstone

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Variability in category learning: The Effect of Context Change and Item Variation on Knowledge Generalization.

Dustin Finch, Paulo F. Carvalho, Robert L. Goldstone

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Which Statistic Matters? Effects of Category Size and Distribution on Statistical Category Learning.

Chi-hsin Chen, Paulo Carvalho, Chen Yu

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

The sequence of study changes what is encoded during category learning.

Paulo F. Carvalho, Robert L. Goldstone

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015

Can You Repeat That? The Effect of Item Repetition on Interleaved and Blocked Study.

Abigail Kost, Paulo F. Carvalho, Robert L. Goldstone

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Effectiveness of Learner-Regulated Study Sequence: An in-vivo study in Introductory Psychology course.

Paulo F. Carvalho, David W. Braithwaite, Josh de Leeuw, Benjamin A. Motz, Robert L. Goldstone

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014

Similarity-based Ordering of Instances for Efficient Concept Learning.

Erik Weitnauer, Paulo F. Carvalho, Robert L. Goldstone, Helge J. Ritter

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

Effects of interleaved and blocked study in a 24 hour delayed transfer test.

Paulo F. Carvalho, Robert L. Goldstone

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

2013

Grouping by Similarity Helps Concept Learning.

Erik Weitnauer, Paulo F. Carvalho, Robert L. Goldstone, Helge J. Ritter

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

An eyetracking study of children's relational thinking: The role of labels and sustained attention.

Paulo F. Carvalho, Catarina Vales, Caitlin Fausey, Linda B. Smith

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

How to present exemplars of several categories? Interleave during active learning and block during passive learning.

Paulo F. Carvalho, Robert L. Goldstone

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012

Going to Extremes: The influence of unsupervised categories on the mental caricaturization of faces and asymmetries in perceptual discrimination.

Andrew Hendrickson, Paulo F. Carvalho, Robert L. Goldstone

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Category structure modulates interleaving and blocking advantage in inductive category acquisition.

Paulo F. Carvalho, Robert L. Goldstone

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011

Sequential similarity and comparison effects in category learning.

Paulo F. Carvalho, Robert L. Goldstone

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