Joseph B. Wiggins

Ph.D. Student
jbwiggi3@ncsu.edu

Joseph Wiggins is a Ph.D. student advised by Dr. Kristy Elizabeth Boyer. His research interests include affect (emotion) detection, intelligent tutoring systems and game-based learning. Through his research, Joseph hopes to improve the quality of educational technologies and increase the availability of systems to students.

education

Ph.D., Computer Science (Expected 2019)
   North Carolina State University

B.S., Computer Science (2014)
   North Carolina State University

research

My current work is exploring student characteristics and making observations about effective tutorial dialogue for different groups of students. I am currently examining student's self-efficacies, or how confident the student is in their ability to meet their learning objectives.

publications

conference papers
2014
[6]Predicting Learning and Engagement in Tutorial Dialogue: A Personality-Based Model. Alexandria Katarina Vail, Joseph F. Grafsgaard, Joseph B. Wiggins, James C. Lester, Kristy Elizabeth Boyer. Proceedings of the 16th International Conference on Multimodal Interaction (ICMI), Istanbul, Turkey, 2014, pp. 255-262. [bib]
[5]The Additive Value of Multimodal Features for Predicting Engagement, Frustration, and Learning during Tutoring. Joseph F. Grafsgaard, Joseph B. Wiggins, Alexandria K. Vail, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester. Proceedings of the ACM International Conference on Multimodal Interaction (ICMI), Istanbul, Turkey, 2014, pp. 42-49. [bib]
[4]Predicting Learning and Affect from Multimodal Data Streams in Task-Oriented Tutorial Dialogue. Joseph F. Grafsgaard, Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester. Proceedings of the 7th International Conference on Educational Data Mining (EDM), London, United Kingdom, 2014, pp. 122-129. [bib]
2013
[3]Automatically Recognizing Facial Indicators of Frustration: A Learning-Centric Analysis. Joseph F. Grafsgaard, Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester. Proceedings of the International Conference on Affective Computing and Intelligent Interaction (ACII), Geneva, Switzerland, 2013, pp. 159-165. [bib]
[2]Automatically Recognizing Facial Expression: Predicting Engagement and Frustration. Joseph F. Grafsgaard, Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester. Proceedings of the International Conference on Educational Data Mining (EDM), Memphis, Tennessee, 2013, pp. 43-50. [bib]
[1]Embodied Affect in Tutorial Dialogue: Student Gesture and Posture. Joseph F. Grafsgaard, Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester. Proceedings of the 16th International Conference on Artificial Intelligence in Education (AIED), Memphis, Tennessee, 2013, pp. 1-10. [bib]
workshop papers
2014
[1]Exploring the Relationship between Self-Efficacy and the Effectiveness of Tutorial Interactions. Joseph B. Wiggins, Joseph F. Grafsgaard, Christopher M. Mitchell, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester. Proceedings of the 2nd Workshop on AI-supported Education for Computer Science (AIEDCS), Honolulu, Hawaii, 2014, pp. 31-40. [bib]
posters
2014
[2]Exploring the Relationship Between Task Difficulty and Emotion in Online Computer Programming Tutoring. Joseph B. Wiggins, Joseph F. Grafsgaard, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester. Proceedings of the 45th ACM Technical Symposium on Computer Science Education (SIGCSE), Atlanta, Georgia, USA, 2014, pp. 721-721. [bib]
2013
[1]Modeling Student Programming with Multimodal Learning Analytics. Joseph F. Grafsgaard, Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester. Proceedings of the ACM Technical Symposium on Computer Science Education (SIGCSE), Denver, Colorado, 2013, pp. 736-736. [bib]