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RALL-E robot-assisted language learning prototype

Design · All designs
Evidence · no claims cited

Description

RALL-E (Robot-Assisted Language Learning in Education) is an Alelo project that migrates agent technology to the Robokind R25 robot, producing a prototype that can engage in conversation in Chinese. The concept is being tested in collaboration with the Virginia Department of Education and the Thomas Jefferson High School for Science and Technology in Alexandria, Virginia. Embedding agent technology into the robot lets learners engage naturally in mixed-initiative conversation more than with a screen-displayed agent; the approach descends from the STEVE work in that agent and learners cohabit a shared world, but the robot enters the learners' real world rather than learners entering the agent's virtual world.

Design Implications

Context

Requirements

  • Robot hardware enabling the pedagogical agent to enter the real world of the learners

Constraints

Target Learners

  • high school language learners

Learning Goals

  • Chinese language conversation practice

Claims

Examples

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Key Sources

  • W. Lewis Johnson & James C. Lester. (2015). Face-to-Face Interaction with Pedagogical Agents, Twenty Years Later. Int J Artif Intell Educ. https://doi.org/10.1007/s40593-015-0065-9
Page metadata
Field Value
type design
id ralle-robot-language-learning-prototype
title RALL-E robot-assisted language learning prototype
description RALL-E (Robot-Assisted Language Learning in Education) is an Alelo project that migrates agent technology to the Robokind R25 robot, producing a prototype that can engage in conversation in Chinese.
status review
generated by process:settle-candidates on 2026-10-16
trust unverified — no one has confirmed this page's content
sources 1 — w-lewis-johnson-james-c-lester-2015

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