Facilitating reflection in teletandem through automatically generated conversation metrics and playback video

TL;DR

This pilot study introduces L2L, a tool that visualizes and analyzes Zoom interactions to enhance reflection and self-assessment in second language learning through automatic metrics and playback features.

Contribution

The paper presents a novel tool, L2L, that integrates automatic conversation metrics and playback for improved reflection in teletandem language learning.

Findings

Increased student confidence in speaking with native speakers.

Helped students set tangible learning goals.

Enhanced awareness of learning processes.

Abstract

This pilot study focuses on a tool called L2L that allows second language (L2) learners to visualise and analyse their Zoom interactions with native speakers. L2L uses the Zoom transcript to automatically generate conversation metrics and its playback feature with timestamps allows students to replay any chosen portion of the conversation for post-session reflection and self-review. This exploratory study investigates a seven-week teletandem project, where undergraduate students from an Irish University learning French (B2) interacted with their peers from a French University learning English (B2+) via Zoom. The data collected from a survey (N=43) and semi-structured interviews (N=35) show that the quantitative conversation metrics and qualitative review of the synchronous content helped raise students' confidence levels while engaging with native speakers. Furthermore, it allowed them to set tangible goals to improve their participation, and be more aware of what, why and how they are learning.