On Incorporating Affective Support to an Intelligent Tutoring System: an Empirical Study
Open accessAbstract
Previous research studies have reported strong evidence that the emotional state of students may have a considerable impact on their learning. In this paper, we present an empirical study that evidences that it is possible to influence the user's affective state in a controlled way, by adapting the system's response. As part of this paper, we have analyzed the affective impact of varying the level of help provided in an existing Intelligent Tutoring System. Results show that it is possible to use classification approaches to predict positive and negative variations in dominance, valence, arousal, and performance to a reasonable level of accuracy.
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It is not necessary that ITS would work in every context and facilitate every teacher.
“It is not necessary that ITS would work in every context and facilitate every teacher [7, 13, 46, 48].”
From Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021 (2022) · cites this paper as [13]
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- Authors
- Cunha-Perez, C., Arevalillo-Herraez, M., Marco-Gimenez, L., & Arnau, D.
- Affiliations
- Universitat de València (ES)
- Venue
- IEEE Revista Iberoamericana de Tecnologias del Aprendizaje
- Published
- 2018-05
- Volume
- 13
- Issue
- 2
- Pages
- 63-69
- ISSN
- 1932-8540 (ISSN-L)
- OpenAlex
- W2801542955
- Cited by
- 16
- References
- 61
- Citations by year
- 2026: 1 · 2024: 2 · 2023: 2 · 2022: 3 · 2021: 3 · 2020: 2 · 2019: 3
- FWCI
- 1.13
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- IEEE Revista Iberoamericana de Tecnologias del Aprendizaje (publishedVersion)
- Hispana (submittedVersion)
- RIUCV (Universidad Católica de Valencia San Vicente Martír) (submittedVersion)
- Funders
- Spanish Ministry of Economy and Competitiveness (TIN2014-59641-C2-1-P)
- Generalitat Valenciana (GV2016-118)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- intelligent tutoring systems, emotional support, student emotions, dominance, valence, arousal, student performance
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