Designing Teachable Systems for Intelligent Tutor Authoring
Proceedings of the AAAI 2021 Spring Symposium on Artificial Intelligence for K-12 Education
2021
Abstract
Intelligent tutoring systems (ITS) consistently improve students’ educational outcomes when used alone or in combination with traditional instruction (MacLellan et al. 2018). One major barrier to the wider use of AI tutoring systems is that they are non-trivial to build, requiring both time and expertise. Typically, authoring a tutor takes 200-300 hours of developer time to produce an hour of instruction time (Aleven et al. 2009; Weitekamp, Harpstead, and Koedinger 2020). Existing authoring methods, including Cognitive Tutor Authoring Tool’s (CTAT) Example Tracing and SimStudent’s Authoring by Tutoring approaches, let authors create ITSs quicker than traditional approaches, such as hand programming. While Example Tracing and Authoring by Tutoring reduce the time and expertise required to create an ITS, such techniques do not allow humans to teach AI technologies in ways that are natural to humans. In this paper, we propose a research plan based on Natural Training Interactions (NTI) framework (MacLellan et al. 2018) that aims to create more human-centered and efficient tutor authoring tools. We propose dual-sided, restricted-perception Wizard-of-Oz (WoZ) experiments, a novel variant of commonly used WoZ experiments, to prototype teachable AI technologies for tutor authoring. We engineered the NTI testbed to allow novel tasks to be studied in WoZ experiments without having to start from scratch for each experiment. Lastly, we propose three research questions that we believe will help us understand how to create teachable AI technology to power tutoring systems. The NTI framework aims to produce teachable agents that can be used by teachers and othe
BibTeX
@inproceedings{gupta-aaai-sss-2021,
title = {Designing Teachable Systems for Intelligent Tutor Authoring},
author = {Gupta, Adit and MacLellan, Christopher J.},
booktitle = {Proceedings of the AAAI 2021 Spring Symposium on Artificial Intelligence for K-12 Education},
year = {2021},
}