Joseph F. Grafsgaard

Nicholas D. Duran, Joseph F. Grafsgaard, Sidney D'Mello, 2018, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).

Automatically Recognizing Facial Indicators of Frustration: A Learning-centric Analysis

Kristy Elizabeth Boyer, James C. Lester, Eric N. Wiebe, 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

Multimodal analysis of the implicit affective channel in computer-mediated textual communication

Kristy Elizabeth Boyer, James C. Lester, Eric N. Wiebe, 2012, ICMI '12.

Predicting Facial Indicators of Confusion with Hidden Markov Models

Kristy Elizabeth Boyer, James C. Lester, Joseph F. Grafsgaard, 2011, ACII.

JavaTutor: An Intelligent Tutoring System that Adapts to Cognitive and Affective States during Computer Programming

Kristy Elizabeth Boyer, James C. Lester, Eric N. Wiebe, 2015, SIGCSE.

Impact of Individual Differences on Affective Reactions to Pedagogical Agents Scaffolding

Cristina Conati, Sébastien Lallé, Michelle Taub, 2016, IVA.

Gender Differences in Facial Expressions of Affect During Learning

Kristy Elizabeth Boyer, James C. Lester, Eric N. Wiebe, 2016, UMAP.

Multimodal Affect Modeling in Task-Oriented Tutorial Dialogue.

Joseph F. Grafsgaard, 2014 .

Modeling Confusion: Facial Expression, Task, and Discourse in Task-Oriented Tutorial Dialogue

Kristy Elizabeth Boyer, James C. Lester, Robert Phillips, 2011, AIED.

Time to Scale: Generalizable Affect Detection for Tens of Thousands of Students across An Entire School Year

Sidney K. D'Mello, Joseph F. Grafsgaard, Stephen Hutt, 2019, CHI.

Modeling student programming with multimodal learning analytics (abstract only)

Kristy Elizabeth Boyer, James C. Lester, Eric N. Wiebe, 2013, SIGCSE '13.

Are Pedagogical Agents' External Regulation Effective in Fostering Learning with Intelligent Tutoring Systems?

Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, 2016, ITS.

Toward a Machine Learning Framework for Understanding Affective Tutorial Interaction

Kristy Elizabeth Boyer, James C. Lester, Joseph F. Grafsgaard, 2012, ITS.

Automatically Recognizing Facial Expression: Predicting Engagement and Frustration

Kristy Elizabeth Boyer, James C. Lester, Eric N. Wiebe, 2013, EDM.

Predicting Learning and Engagement in Tutorial Dialogue: A Personality-Based Model

Kristy Elizabeth Boyer, James C. Lester, Joseph F. Grafsgaard, 2014, ICMI.

The relationship between task difficulty and emotion in online computer programming tutoring (abstract only)

Kristy Elizabeth Boyer, James C. Lester, Eric N. Wiebe, 2014, SIGCSE '14.

The Affective Impact of Tutor Questions: Predicting Frustration and Engagement

Kristy Elizabeth Boyer, James C. Lester, Eric N. Wiebe, 2016, EDM.

Multimodal Analysis and Modeling of Nonverbal Behaviors during Tutoring

Joseph F. Grafsgaard, 2014, ICMI.

2015 Multimodal Learning and Analytics Grand Challenge

Xavier Ochoa, Marcelo Worsley, Joseph F. Grafsgaard, 2015, ICMI.

The Additive Value of Multimodal Features for Predicting Engagement, Frustration, and Learning during Tutoring

Kristy Elizabeth Boyer, James C. Lester, Eric N. Wiebe, 2014, ICMI.

Modeling Self-Efficacy Across Age Groups with Automatically Tracked Facial Expression

Kristy Elizabeth Boyer, James C. Lester, Bradford W. Mott, 2015, AIED.

Physiological Responses to Events during Training

Kristy Elizabeth Boyer, James C. Lester, Eric N. Wiebe, 2013 .

Exploring the Relationship between Self-Efficacy and the Effectiveness of Tutorial Interactions

Kristy Elizabeth Boyer, James C. Lester, Eric N. Wiebe, 2014 .