Robert G. M. Hausmann

According to our database, Robert G. M. Hausmann authored at least 22 papers between 2001 and 2020.

Collaborative distances:

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

2020

LiveHint: Intelligent Digital Support for Analog Learning Experiences.

Josh Fisher, Stephen Fancsali, Amy Lewis, Victoria Fisher, Robert G. M. Hausmann, Martina Pavelko, Sandy Bartle Finocchi, Steven Ritter

Proceedings of the Second International Workshop on Intelligent Textbooks 2020 co-located with 21st International Conference on Artificial Intelligence in Education (AIED 2020), 2020

2013

The effect of goal reification on error rates while solving geometric problems.

Robert G. M. Hausmann, Annalies Vuong

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

Revealing the Learning in Learning Curves.

R. Charles Murray, Steven Ritter, Tristan Nixon, Ryan Schwiebert, Robert G. M. Hausmann, Brendon Towle, Stephen E. Fancsali, Annalies Vuong

Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

An Evaluation of the Effectiveness of Just-In-Time Hints.

Robert G. M. Hausmann, Annalies Vuong, Brendon Towle, Scott H. Fraundorf, R. Charles Murray, John Connelly

Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

2012

Special Track on Intelligent Tutoring Systems.

Robert G. M. Hausmann

Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

Testing the Split Attention Effect on Learning in a Natural Educational Setting Using an Intelligent Tutoring System for Geometry.

Robert G. M. Hausmann, Annalies Vuong

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

2011

Interactive diagrams reduce the split-attention effect in geometry.

Robert G. M. Hausmann, Daniel Dickison, John Connelly, Brendon Towle

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

Speaking about software requirements using physical artifacts: A study from a situated cognition perspective.

Nik Nailah Binti Abdullah, Robert G. M. Hausmann

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

2010

The Effect of Self-Explaining on Robust Learning.

Robert G. M. Hausmann, Kurt VanLehn

Int. J. Artif. Intell. Educ., 2010

A Cognitive Tutor for Geometric Proof.

Steven Ritter, Brendon Towle, R. Charles Murray, Robert G. M. Hausmann, John Connelly

Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

Research-Based Improvements in Cognitive Tutor Geometry.

Steven Ritter, Brendon Towle, R. Charles Murray, Robert G. M. Hausmann, John Connelly

Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

Incorporating Interactive Examples into the Cognitive Tutor.

Robert G. M. Hausmann, Steven Ritter, Brendon Towle, R. Charles Murray, John Connelly

Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

Predicting the Effects of Skill Model Changes on Student Progress.

Daniel Dickison, Steven Ritter, Tristan Nixon, Thomas K. Harris, Brendon Towle, R. Charles Murray, Robert G. M. Hausmann

Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

2009

Collaborative Dialog While Studying Worked-out Examples.

Robert G. M. Hausmann, Timothy J. Nokes, Kurt VanLehn, Brett van de Sande

Proceedings of the Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, 2009

2008

Observing Tutorial Dialogues Collaboratively: Insights About Human Tutoring Effectiveness From Vicarious Learning.

Michelene T. H. Chi, Marguerite Roy, Robert G. M. Hausmann

Cogn. Sci., 2008

Shall We Explain? Augmenting Learning from Intelligent Tutoring Systems and Peer Collaboration.

Robert G. M. Hausmann, Brett van de Sande, Kurt VanLehn

Proceedings of the Intelligent Tutoring Systems, 9th International Conference, 2008

Productive dialog during collaborative problem solving.

Robert G. M. Hausmann, Brett van de Sande, Carla van de Sande, Kurt VanLehn

Proceedings of the Cre8ing a learning world: Proceedings of the 8th International Conference for the Learning Sciences, 2008

Trialog: How Peer Collaboration Helps Remediate Errors in an ITS.

Robert G. M. Hausmann, Brett van de Sande, Kurt VanLehn

Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

2007

What's in a Step? Toward General, Abstract Representations of Tutoring System Log Data.

Kurt VanLehn, Kenneth R. Koedinger, Alida Skogsholm, Adaeze Nwaigwe, Robert G. M. Hausmann, Anders Weinstein, Benjamin Billings

Proceedings of the User Modeling 2007, 11th International Conference, 2007

Exploring Alternative Methods for Error Attribution in Learning Curves Analysis in Intelligent Tutoring Systems.

Adaeze Nwaigwe, Kenneth R. Koedinger, Kurt VanLehn, Robert G. M. Hausmann, Anders Weinstein

Proceedings of the Artificial Intelligence in Education, 2007

Explaining Self-Explaining: A Contrast between Content and Generation.

Robert G. M. Hausmann, Kurt VanLehn

Proceedings of the Artificial Intelligence in Education, 2007

2001

Learning from human tutoring.

Michelene T. H. Chi, Stephanie Siler, Heisawn Jeong, Takashi Yamauchi, Robert G. M. Hausmann

Cogn. Sci., 2001