Bringing chatbots into education: Towards natural language negotiation of open learner models

By Alice Kerly, Phil Hall, Susan Bull. Knowledge-Based Systems, 2006

328 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Interacting with educational chatbots: A systematic review (2022, methodology): “This study, however, uses different classifications (e.g., “teaching agent”, “peer agent”, “motivational agent”) supported by the literature in Chhib-ber and Law (2019), Baylor (2011), and Kerlyl et al. (2006).”
Evaluating Quality of Chatbots and Intelligent Conversational Agents (2017, background): “There are agents designed to serve as personal university advisors (Ghose & Barua, 2013), educational agents developed to help improve learning outcomes (Kerly et al., 2007), and “Art-Bots” (Vassos et al., 2016) to engage museum visitors in participatory installations.”
Artificial Intelligence (AI) Student Assistants in the Classroom: Designing Chatbots to Support Student Success (2022, background): “…agents (Luger & Sellen, 2016) such as chatbots (Schlesinger et al., 2018; Stieglitz et al., 2021), have been leveraged to assist student life in education (Goel & Polepeddi, 2016; Hwang & Chang, 2021; Kerly et al., 2007; Kerry et al., 2009; Okonkwo & Ade-Ibijola, 2020, 2021; Zhao et al., 2020).”
Student Models that Invite the Learner In: The SMILI: () Open Learner Modelling Framework (2007, background): “Interaction about the learner model need not necessarily be directly between the learner and the adaptive tutoring system, but could be mediated by an artificial agent or chatbot (Kerly et al., 2007).”