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Apprentice Learner Architecture

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Description

A domain-general architecture and authoring framework by MacLellan and Koedinger for creating teachable-agent tutors with learner models that can be trained across diverse instructional domains.

Components

  • Apprentice Learner Architecture for domain-general tutor authoring (MacLellan & Koedinger): One of the four accepted special-issue papers. MacLellan and Koedinger "offer a more technical and generalized treatment of the teachable agent approach using their Apprentice Learner Architecture", covering "diverse tutoring domains including fraction arithmetic, learning chinese characters, correct a/an/the usage, block tower stability, rule induction, stoichiometry, and equations". The editorial places it with Matsuda's work as adaptive authoring of adaptive content. (Andrew M. Olney et al. (2021))

Claims

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Key Sources

  • Andrew M. Olney, Stephen B. Gilbert, Kelly Rivers. (2021). Preface to the Special Issue on Creating and Improving Adaptive Learning: Smart Authoring Tools and Processes. International Journal of Artificial Intelligence in Education (2022) 32:1–3. https://doi.org/10.1007/s40593-021-00277-9
Page metadata
Field Value
type product
id apprentice-learner-architecture
title Apprentice Learner Architecture
description A domain-general architecture and authoring framework by MacLellan and Koedinger for creating teachable-agent tutors with learner models that can be trained across diverse instructional domains.
status review
product_kind framework
generated by process:settle-candidates on 2026-10-27
trust unverified — no one has confirmed this page's content

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