Nathan Henderson
College of Engineering
Works (5)
Updated: July 5th, 2023 15:05
2022 article
Investigating Student Interest and Engagement in Game-Based Learning Environments
ARTIFICIAL INTELLIGENCE IN EDUCATION, PT I, Vol. 13355, pp. 711–716.
author keywords: Interest; Science learning; Learning technology
TL;DR:
It is found that interest is significantly related to performance (both knowledge assessment and game completion), suggesting that students with high interest are likely to perform better academically, but also be more engaged in the in-game objectives.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: November 21, 2022
2022 article
Leveraging Student Goal Setting for Real-Time Plan Recognition in Game-Based Learning
ARTIFICIAL INTELLIGENCE IN EDUCATION, PT I, Vol. 13355, pp. 78–89.
author keywords: Plan recognition; Game-based Learning; Self-regulated learning
TL;DR:
A novel plan recognition framework is introduced that leverages trace log data from student interactions within a game-based learning environment called C RYSTAL I SLAND, in which students use a drag-and-drop planning support tool that enables them to externalize their science problem-solving goals and plans prior to enacting them in the learning environment.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: November 21, 2022
2021 article
Enhancing Multimodal Affect Recognition with Multi-Task Affective Dynamics Modeling
2021 9TH INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION (ACII).
author keywords: multitask learning; affect recognition; multimodal interaction; game-based learning environments
TL;DR:
A multimodal, multitask affect recognition framework that predicts students’ future affective states as auxiliary training tasks and uses prior affectiveStates as input features to capture bi-directional affective dynamics and enhance the training of affect recognition models is presented.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: June 6, 2022
2021 article
Multimodal Trajectory Analysis of Visitor Engagement with Interactive Science Museum Exhibits
ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2021), PT II, Vol. 12749, pp. 151–155.
author keywords: Museum learning; Visitor engagement; Multimodal trajectory; analytics
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: November 28, 2022
2019 article
4D Affect Detection: Improving Frustration Detection in Game-Based Learning with Posture-Based Temporal Data Fusion
ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2019), PT I, Vol. 11625, pp. 144–156.
author keywords: Affect detection; Data fusion; Posture; Frustration; Deep learning
TL;DR:
A data-driven framework that leverages spatial and temporal posture data to detect learner frustration using deep neural network-based data fusion techniques and shows significant improvements to frustration detection relative to baseline models.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science)
Source: Web Of Science
Added: December 2, 2019
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