Works (4)

Updated: July 5th, 2023 15:42

2019 article

Predicting Dialogue Breakdown in Conversational Pedagogical Agents with Multimodal LSTMs

ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2019, PT II, Vol. 11626, pp. 195–200.

By: W. Min n, K. Park n, J. Wiggins*, B. Mott n, E. Wiebe n, K. Boyer*, J. Lester n

author keywords: Conversational pedagogical agent; Multimodal; Dialogue breakdown detection; Natural language processing; Gaze
Sources: Web Of Science, ORCID
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, Vol. 11626, pp. 314–318.

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

author keywords: Pedagogical agents; Game-based learning; Initiative
Sources: Web Of Science, ORCID
Added: December 2, 2019

2016 journal article

Do You Think You Can? The Influence of Student Self-Efficacy on the Effectiveness of Tutorial Dialogue for Computer Science

International Journal of Artificial Intelligence in Education, 27(1), 130–153.

By: J. Wiggins n, J. Grafsgaard n, K. Boyer*, E. Wiebe n & J. Lester n

author keywords: Self-efficacy; Tutorial dialogue; Computer science education
Sources: Web Of Science, ORCID, Crossref
Added: August 6, 2018

2013 article

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

2013 HUMAINE ASSOCIATION CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION (ACII), pp. 159–165.

By: J. Grafsgaard n, J. Wiggins n, K. Boyer n, E. Wiebe n & J. Lester n

author keywords: affect; frustration; learning; computer-mediated tutoring; facial expression recognition; facial action units; intensity
Sources: Web Of Science, ORCID
Added: August 6, 2018