Works (4)
Updated: July 5th, 2023 15:55
2008 journal article
Modeling self-efficacy in intelligent tutoring systems: An inductive approach
USER MODELING AND USER-ADAPTED INTERACTION, 18(1-2), 81–123.
author keywords: affective user modeling; affective student modeling; self-efficacy; intelligent tutoring systems; inductive learning; human-computer interaction
TL;DR:
An inductive approach to automatically constructing models of self-efficacy that can be used at runtime to inform pedagogical decisions is investigated, based on two complementary empirical studies.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2007 article
Modeling and evaluating empathy in embodied companion agents
McQuiggan, S. W., & Lester, J. C. (2007, April). INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, Vol. 65, pp. 348–360.
TL;DR:
Care, a data-driven affective architecture and methodology for learning models of empathy by observing human-human social interactions is presented and it is suggested that the Care paradigm can provide the basis for effective empathetic behavior control in embodied companion agents.
(via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018
2006 journal article
Diagnosing self-efficacy in intelligent tutoring systems: An empirical study
Lecture Notes in Computer Science, (4053), 565–574.
TL;DR:
The resulting static model is able to predict students' real-time levels of self-efficacy with reasonable accuracy, while the physiologically informed dynamic model is even more accurate.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018
conference paper
Modeling task-based vs. affect-based feedback behavior in pedagogical agents: An inductive approach
Robison, J. L., McQuiggan, S. W., & Lester, J. C. Artificial intelligence in education - building learnning systems that care: from knowledge representation to affective modelling , 200, 25–32.
Source: NC State University Libraries
Added: August 6, 2018
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