The L2L System for Second Language Learning Using Visualised Zoom Calls Among Students

TL;DR

The paper introduces the L2L system that uses Zoom recordings and visualized conversation metrics to enhance second language learning through peer interaction and real-time feedback.

Contribution

It presents a novel system that records, analyzes, and visualizes conversation data from Zoom calls to support language learning, with deployment results over a semester.

Findings

Recorded nearly 250 hours of Zoom meetings.

Conversation metrics improved student engagement.

Dashboard aided both students and lecturers.

Abstract

An important part of second language learning is conversation which is best practised with speakers whose native language is the language being learned. We facilitate this by pairing students from different countries learning each others' native language. Mixed groups of students have Zoom calls, half in one language and half in the other, in order to practice and improve their conversation skills. We use Zoom video recordings with audio transcripts enabled which generates recognised speech from which we extract timestamped utterances and calculate and visualise conversation metrics on a dashboard. A timeline highlights each utterance, colour coded per student, with links to the video in a playback window. L2L was deployed for a semester and recorded almost 250 hours of zoom meetings. The conversation metrics visualised on the dashboard are a beneficial asset for both students and lecturers.