An interaction design for machine teaching to develop AI tutors

D Weitekamp, E Harpstead, KR Koedinger - Proceedings of the 2020 …, 2020 - dl.acm.org
Proceedings of the 2020 CHI conference on human factors in computing systems, 2020dl.acm.org
Intelligent tutoring systems (ITSs) have consistently been shown to improve the educational
outcomes of students when used alone or combined with traditional instruction. However,
building an ITS is a time-consuming process which requires specialized knowledge of
existing tools. Extant authoring methods, including the Cognitive Tutor Authoring
Tools'(CTAT) example-tracing method and SimStudent's Authoring by Tutoring, use
programming-by-demonstration to allow authors to build ITSs more quickly than they could …
Intelligent tutoring systems (ITSs) have consistently been shown to improve the educational outcomes of students when used alone or combined with traditional instruction. However, building an ITS is a time-consuming process which requires specialized knowledge of existing tools. Extant authoring methods, including the Cognitive Tutor Authoring Tools' (CTAT) example-tracing method and SimStudent's Authoring by Tutoring, use programming-by-demonstration to allow authors to build ITSs more quickly than they could by hand programming with model-tracing. Yet these methods still suffer from long authoring times or difficulty creating complete models. In this study, we demonstrate that Simulated Learners built with the Apprentice Learner (AL) Framework can be combined with a novel interaction design that emphasizes model transparency, input flexibility, and problem solving control to enable authors to achieve greater model completeness in less time than existing authoring methods.
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