Kristy Boyer

2019 article

Predicting Dialogue Breakdown in Conversational Pedagogical Agents with Multimodal LSTMs

ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2019, PT II, pp. 195–200.

Source: Web Of Science
Added: December 2, 2019

2019 article

Take the Initiative: Mixed Initiative Dialogue Policies for Pedagogical Agents in Game-Based Learning Environments

ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2019, PT II, pp. 314–318.

By: J. Wiggins, M. Kulkarni, W. Min, K. Boyer, B. Mott, E. Wiebe, J. Lester

Source: Web Of Science
Added: December 2, 2019

2018 article

"I Think We Should...": Analyzing Elementary Students' Collaborative Processes for Giving and Taking Suggestions

SIGCSE'18: PROCEEDINGS OF THE 49TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, pp. 622–627.

By: J. Tsan, F. Rodriguez, K. Boyer & C. Lynch

Source: Web Of Science
Added: September 16, 2019

2018 conference paper

Infusing Computational Thinking into Middle Grade Science Classrooms: Lessons Learned

WIPSCE'18: PROCEEDINGS OF THE 13TH WORKSHOP IN PRIMARY AND SECONDARY COMPUTING EDUCATION, 109–114.

By: V. Catete, N. Lytle, Y. Dong, D. Boulden, B. Akram, J. Houchins, T. Barnes, E. Wiebe ...

Source: NC State University Libraries
Added: January 28, 2019

2018 article

Introducing the Computer Science Concept of Variables in Middle School Science Classrooms

SIGCSE'18: PROCEEDINGS OF THE 49TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, pp. 906–911.

By: P. Buffum, K. Boyer, D. Blackburn, K. Ying, E. Wiebe, X. Zheng, B. Mott, J. Lester

Source: Web Of Science
Added: September 16, 2019

2017 journal article

Preface for the special issue on AI-supported education in computer science

International Journal of Artificial Intelligence in Education, 27(1), 1–4.

By: T. Barnes, K. Boyer, S. Hsiao, N. Le & S. Sosnovsky

Source: NC State University Libraries
Added: August 6, 2018

2015 conference paper

A Tutorial dialogue system for real-time evaluation of unsupervised dialogue act classifiers: Exploring system outcomes

Artificial intelligence in education, aied 2015, 9112, 105–114.

By: A. Ezen-Can & K. Boyer

Source: NC State University Libraries
Added: August 6, 2018

2015 conference paper

Deepstealth: Leveraging deep learning models for stealth assessment in game-based learning environments

Artificial intelligence in education, aied 2015, 9112, 277–286.

By: W. Min, M. Frankosky, B. Mott, J. Rowe, E. Wiebe, K. Boyer, J. Lester

Source: NC State University Libraries
Added: August 6, 2018

2015 conference paper

Discovering individual and collaborative problem-solving modes with hidden Markov models

Artificial intelligence in education, aied 2015, 9112, 408–418.

By: F. Rodriguez & K. Boyer

Source: NC State University Libraries
Added: August 6, 2018

2015 conference paper

Leveraging collaboration to improve gender equity in a game-based learning environment for middle school computer science

2015 Research in Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT).

By: P. Buffum, M. Frankosky, K. Boyer, E. Wiebe, B. Mott & J. Lester

Source: NC State University Libraries
Added: August 6, 2018

2015 conference paper

Mind the gap: Improving gender equity in game-based learning environments with learning companions

Artificial intelligence in education, aied 2015, 9112, 64–73.

By: P. Buffum, K. Boyer, E. Wiebe, B. Mott & J. Lester

Source: NC State University Libraries
Added: August 6, 2018

2015 conference paper

Supporting K-5 learners with dialogue systems

Artificial intelligence in education, aied 2015, 9112, 873–876.

By: J. Tsan & K. Boyer

Source: NC State University Libraries
Added: August 6, 2018

2015 conference paper

The Mars and Venus effect: The influence of user gender on the effectiveness of adaptive task support

User modeling, adaptation and personalization, 9146, 265–276.

By: A. Vail, K. Boyer, E. Wiebe & J. Lester

Source: NC State University Libraries
Added: August 6, 2018

2014 conference paper

Identifying effective moves in tutoring: On the refinement of dialogue act annotation schemes

Intelligent tutoring systems, its 2014, 8474, 199–209.

By: A. Vail & K. Boyer

Source: NC State University Libraries
Added: August 6, 2018

2013 conference paper

Automatically recognizing facial indicators of frustration: A learning-centric analysis

International conference on affective computing and intelligent, 159–165.

Source: NC State University Libraries
Added: August 6, 2018

2012 conference paper

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

ICMI '12: Proceedings of the ACM International Conference on Multimodal Interaction, 145–152.

By: J. Grafsgaard, R. Fulton, K. Boyer, E. Wiebe & J. Lester

Source: NC State University Libraries
Added: August 6, 2018

conference paper

Modeling self-efficacy across age groups with automatically tracked facial expression

Grafsgaard, J. F., Lee, S. Y., Mott, B. W., Boyer, K. E., & Lester, J. C. Artificial intelligence in education, aied 2015, 9112, 582–585.

By: J. Grafsgaard, S. Lee, B. Mott, K. Boyer & J. Lester

Source: NC State University Libraries
Added: August 6, 2018