AutoTutor and Family: A Review of 17 Years of Natural Language Tutoring

By Benjamin D. Nye, A. Graesser, Xiangen Hu. International Journal of Artificial Intelligence in Education, 2014

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Equity Beyond Bias in Language Technologies for Education (2019, background): “These systems now pair natural language instruction with parasocial features (Lubold et al., 2018) and mimicking nuanced human behaviors like ﬁnding “teachable moments” (Nye et al., 2014).”
Stupid Tutoring Systems, Intelligent Humans (2016, background): “1995), systems that can talk with students in natural language (Nye et al. 2014; earlier on, see Stevens and Collins 1977); systems that model complex teacher and tutor pedagogical strategies (Heffernan and Koedinger 2002; Khachatryan et al.”
Affective Personalization of a Social Robot Tutor for Children's Second Language Skills (2016, background): “However, so far, these systems generally incorporate simple rule-based extensions to deal with students' affective states, and are based on virtual tutors, not physically embodied robots Nye, Graesser, and Hu (2014).”