Jon M. Fincham

发表

Tracing Problem Solving in Real Time: fMRI Analysis of the Subject-paced Tower of Hanoi

John R. Anderson, Mark V. Albert, Jon M. Fincham, 2005, Journal of Cognitive Neuroscience.

Using Brain Imaging to Interpret Student Problem Solving

Jian Yang, John R. Anderson, Shawn Betts, 2011, IEEE Intelligent Systems.

General Principles for an Intelligent Tutoring Architecture.

John R. Anderson, Albert T. Corbett, Jon M. Fincham, 1995 .

Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System

John R. Anderson, Shawn Betts, Jon M. Fincham, 2010, EDM.

Using fMRI to Test Models of Complex Cognition

John R. Anderson, Susan M. Ravizza, Cameron S. Carter, 2008, Cogn. Sci..

When math operations have visuospatial meanings versus purely symbolic definitions: Which solving stages and brain regions are affected?

John R. Anderson, Aryn Pyke, Jon M. Fincham, 2017, NeuroImage.

An fMRI investigation of instructional guidance in mathematical problem solving

John R. Anderson, Shawn Betts, Hee Seung Lee, 2014, Trends in Neuroscience and Education.

Can Neural Imaging Investigate Learning in an Educational Task

John R. Anderson, Shawn Betts, Jon M. Fincham, 2009 .

Efficient Use of Large-Scale Computational Resources

Glenn Gunzelmann, Kevin A. Gluck, Michael Krusmark, 2008 .

Menu Selection vs. Typing: Effects on Learning in an Intelligent Programming Tutor

John R. Anderson, Albert T. Corbett, Jon M. Fincham, 2008 .

Reconstructing fine-grained cognition from brain activity

John R. Anderson, Shawn Betts, Jon M. Fincham, 2020, NeuroImage.

Extending problem-solving procedures through reflection

John R. Anderson, Jon M. Fincham, John R. Anderson, 2014, Cognitive Psychology.

Brain Regions Engaged by Part- and Whole-task Performance in a Video Game: A Model-based Test of the Decomposition Hypothesis

John R. Anderson, Ben Poole, Jon M. Fincham, 2011, Journal of Cognitive Neuroscience.

Using brain imaging to track problem solving in a complex state space

Jian Yang, John R. Anderson, Jon M. Fincham, 2012, NeuroImage.

Testing fMRI Predictions of a Dual-Task Interference Model

Dirk van Rijn, Niels Taatgen, Andrea Stocco, 2009 .

Discovering the Sequential Structure of Thought

John R. Anderson, Jon M. Fincham, John R. Anderson, 2014, Cogn. Sci..

Adaptive Mesh Refinement for Efficient Exploration of Cognitive Architectures and Cognitive Models

Kevin A. Gluck, Michael Krusmark, Jon M. Fincham, 2009 .

The Common Time Course of Memory Processes Revealed

Qiong Zhang, Caitlin Tenison, Avniel Singh Ghuman, 2018, Psychological science.

Brain Networks Supporting Execution of Mathematical Skills versus Acquisition of New Mathematical Competence

Shawn Betts, Jon M. Fincham, Jennifer L. Ferris, 2012, PloS one.

Practice and Retention: A Unifying Analysis

Jon M. Fincham, John R. Anderson, S. Douglass, 1999 .

Learning From Examples Versus Verbal Directions in Mathematical Problem Solving

Jon M. Fincham, Hee Seung Lee, John R. Anderson, 2015 .

Phases of learning: How skill acquisition impacts cognitive processing

Caitlin Tenison, Jon M. Fincham, John R. Anderson, 2016, Cognitive Psychology.

Traveling the Second Bridge: Using fMRI to Assess an ACT-R Model of Geometry Proof

Scott Douglass, Jon M. Fincham, Yvonne S. Kao, 2008 .

Detecting math problem solving strategies: An investigation into the use of retrospective self-reports, latency and fMRI data

Caitlin Tenison, Jon M. Fincham, John R. Anderson, 2014, Neuropsychologia.

Cognitive and Metacognitive Activity in Mathematical Problem Solving: Prefrontal and Parietal Patterns It Also Appears to Play a Key Role in Retrieval of Arithmetic

Shawn Betts, Jon M. Fincham, Jennifer L. Ferris, 2022 .