Abstract
Some technology-assisted language learning tools may involve structured, explicit study sessions separate from a user's daily activities. This disclosure describes an ambient language tutoring approach. A computing device, such as a smartphone, smart watch, wearable device, or augmented reality glasses, can be placed by the user into a tutoring mode. In this mode, the device uses a microphone to capture spoken utterances from the user in a target language. An artificial intelligence model may analyze the transcribed speech to identify potential grammatical, syntactical, or lexical errors. Based on this analysis, the model can generatively create a corrected, contextually appropriate version of the user's phrase. This corrective feedback can be delivered to the user through auditory or visual means, providing a method for continuous language practice that integrates into a user's daily environment and supplements learning methods that may rely on focused study.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Williams, Alexander, "AI-Based Ambient Tutoring via Generative Correction of Spoken Language", Technical Disclosure Commons, (October 31, 2025)
https://www.tdcommons.org/dpubs_series/8819