Affect-aware tutors: recognising and responding to student affect

By Beverly Park Woolf, Winslow Burleson, Ivon Arroyo, Toby Dragon, David G. Cooper, Rosalind W. Picard. International Journal of Learning Technology, 2009

399 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Developmental and Educational Psychology

View Paper: https://www.semanticscholar.org/paper/8d5c9d8cf6badfd8e048af68d0009b33c53b6c49

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In Artificial Intelligence

In Developmental and Educational Psychology

Citations in the corpus

Dynamics of affective states during complex learning (2012, background): “The tutor might also convey a degree of empathy to alleviate frustration (Lepper & Woolverton, 2002; Woolf et al., 2009).”
Effects of an emotion control treatment on academic emotions, motivation and achievement in an online mathematics course (2012, background): “Affective pedagogical agents (Woolf et al. 2009) could be one of the potential systems.”
Affective Personalization of a Social Robot Tutor for Children's Second Language Skills (2016, background): “The subfield of " affect-aware tutors " Woolf et al. (2009) seeks to design more effective ITSs that explicitly sense, model, and reason about students' affective states.”
Equity Beyond Bias in Language Technologies for Education (2019, background): “Multimodal data are increasingly used to inform sentiment and affect detection algorithms (Yu et al., 2017; DMello and Graesser, 2012; Woolf et al., 2009), but these algorithms are known to produce discriminatory results, with disparate outcomes by gender (Volkova et al., 2013), race (Kiritchenko…”
Understanding Difficulties and Resulting Confusion in Learning: An Integrative Review (2018, background): “Confusion is often associated with reaching a cognitive impasse or “being stuck” while trying to learn something new (Woolf et al., 2009), and it is also commonly regarded as a negative emotional experience or something to be avoided while learning (“Miss, help me, I am confused!”; see also Kort et ”
The Faces of Engagement: Automatic Recognition of Student Engagementfrom Facial Expressions (2014, background): “So-called affect-sensitive ITS are a hot topic in the ITS research community [5], [12], [13], [19], [26], [59], and some of the first fully-automated closed-loop ITS that use affective sensors for feedback are starting to emerge [12], [59].”