Paulo Carvalho

Paulo Carvalho

Carnegie Mellon University

H-index: 18

North America-United States

About Paulo Carvalho

Paulo Carvalho, With an exceptional h-index of 18 and a recent h-index of 16 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of learning, category learning, cognitive models, cognitive science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Comparing generating predictions with retrieval practice as learning strategies for primary school children

Capturing Session-to-Session Dynamics of Learning and Forgetting: A Test of Existing Knowledge Tracing Models

Students Can Learn More Efficiently When Lectures Are Replaced with Practice Opportunities and Feedback

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

No Simple Solutions to Complex Problems: Cognitive Science Principles Can Guide but Not Prescribe Educational Decisions

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

Content matters: A computational investigation into the effectiveness of retrieval practice and worked examples

An astonishing regularity in student learning rate

Paulo Carvalho Information

University

Position

___

Citations(all)

1516

Citations(since 2020)

1020

Cited By

847

hIndex(all)

18

hIndex(since 2020)

16

i10Index(all)

32

i10Index(since 2020)

26

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Paulo Carvalho Skills & Research Interests

learning

category learning

cognitive models

cognitive science

Top articles of Paulo Carvalho

Title

Journal

Author(s)

Publication Date

Comparing generating predictions with retrieval practice as learning strategies for primary school children

Paulo F Carvalho

Karrie E Godwin

2024/2/14

Capturing Session-to-Session Dynamics of Learning and Forgetting: A Test of Existing Knowledge Tracing Models

Brendan A Schuetze

Veronica X Yan

Paulo F Carvalho

2024/2/7

Students Can Learn More Efficiently When Lectures Are Replaced with Practice Opportunities and Feedback

Michael W Asher

Faria Sana

Kenneth R Koedinger

Paulo F Carvalho

2024/1/11

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

arXiv preprint arXiv:2404.14682

Yumou Wei

Paulo F Carvalho

John Stamper

2024/4/23

No Simple Solutions to Complex Problems: Cognitive Science Principles Can Guide but Not Prescribe Educational Decisions

Policy Insights from the Behavioral and Brain Sciences

Veronica X Yan

Faria Sana

Paulo F Carvalho

2023/12/13

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

Conrad Borchers

Paulo F Carvalho

Meng Xia

Pinyang Liu

Kenneth R Koedinger

...

2023/8/28

Content matters: A computational investigation into the effectiveness of retrieval practice and worked examples

Napol Rachatasumrit

Paulo F Carvalho

Sophie Li

Kenneth R Koedinger

2023/6/26

An astonishing regularity in student learning rate

Proceedings of the National Academy of Sciences

Kenneth R Koedinger

Paulo F Carvalho

Ran Liu

Elizabeth A McLaughlin

2023/3/28

Testing the impact of learning from practice (vs. a lecture) on motivation and performance (Fall 2023)

Michael W Asher

Paulo Carvalho

2023/10/18

Check for updates What Makes Problem-Solving Practice Effective? Comparing Paper and AI Tutoring

Responsive and Sustainable Educational Futures: 18th European Conference on Technology Enhanced Learning, EC-TEL 2023, Aveiro, Portugal, September 4–8, 2023, Proceedings

Conrad Borchers

Paulo F Carvalho

Meng Xia

Pinyang Liu

Kenneth R Koedinger

...

2023/8/29

Educational equity through combined human-AI personalization: A propensity matching evaluation

Danielle R Chine

Cassandra Brentley

Carmen Thomas-Browne

J Elizabeth Richey

Abdulmenaf Gul

...

2022/7/27

A computational model of context‐dependent encodings during category learning

Cognitive Science

Paulo F Carvalho

Robert L Goldstone

2022/4

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

Proceedings of the Annual Meeting of the Cognitive Science Society

Paulo Carvalho

Napol Rachatasumrit

Kenneth R Koedinger

2022

Varied practice testing is associated with better learning outcomes in self-regulated online learning.

Journal of Educational Psychology

Paulo F Carvalho

Elizabeth A McLaughlin

Kenneth R Koedinger

2022/11

On rest-from-deliberate-learning as a mechanism for the spacing effect: Commentary on Chen et al.(2021)

Faria Sana

Veronica X Yan

Paulo F Carvalho

2022/9

Drinking our own champagne: Analyzing the impact of learning-by-doing resources in an e-learning course

Xinying Hou

Paulo F Carvalho

Kenneth R Koedinger

2021

Generalizability, transferability, and the practice-to-practice gap

Joshua de Leeuw

Benjamin Motz

Emily Fyfe

Paulo Carvalho

Robert Goldstone

2021/4/1

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

Applied Cognitive Psychology

Paulo F Carvalho

Robert L Goldstone

2021/1

ManyClasses 1: Assessing the generalizable effect of immediate feedback versus delayed feedback across many college classes

Advances in Methods and Practices in Psychological Science

Emily R Fyfe

Joshua R de Leeuw

Paulo F Carvalho

Robert L Goldstone

Janelle Sherman

...

2021/7

The distributional properties of exemplars affect category learning and generalization

Scientific reports

Paulo F Carvalho

Chi-hsin Chen

Chen Yu

2021/5/28

See List of Professors in Paulo Carvalho University(Carnegie Mellon University)

Co-Authors

H-index: 101
Linda Smith

Linda Smith

Indiana University Bloomington

H-index: 73
Robert Goldstone

Robert Goldstone

Indiana University Bloomington

H-index: 65
Helge Ritter

Helge Ritter

Universität Bielefeld

H-index: 28
Emily R. Fyfe

Emily R. Fyfe

Indiana University Bloomington

H-index: 23
Alan Kersten

Alan Kersten

Florida Atlantic University

H-index: 16
Ben Motz

Ben Motz

Indiana University Bloomington

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