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Study the questions the field is actually asking, in a platform built for it

What grammar is the class struggling with?

Hardest constructs

by class error rate
  • Numeral67% error · 3 students
  • Subjunctive67% error · 2 students
  • Relative56% error · 3 students

By grammar area

  • Degree
    41%
  • Gender
    38%
  • Case
    37%
What data should we drill down on?

The ideal platform for studying human and AI interaction directly

Learners move between human partners and the AI in the same environment, and every conversation logs who the partners were. Questions that other platforms can only approximate become directly measurable, like this one:

Does the number of human conversation partners predict student engagement?

Weekly conversation minutesHuman conversation partners
This is mock data (and an open call for research).

Open the “AI” black box and test cross-LLM variability

Compare the effect of using different leading AI providers or test your university's sanctioned (or in-development) model.

Conversation model

  • OpenAIhosted API
  • Anthropichosted API
  • Google Geminihosted API
  • your-lab/model-v0.2self-hosted

Deterministic replies: on

Independent Fall 2026 studies

Willingness to communicate for newcomers

A within-student design: every learner is measured against their own average across more- and less-practised tasks, with pre- and post-study Willingness to Communicate questionnaires. Fall 2026 to Spring 2027.

GPT chatbots vs. VR vs. Pangea Chat

A within-subjects comparison in a university German program: every student uses all three modalities weekly in a third asynchronous contact hour. Fall 2026 to Spring 2027.

Conversation practice and writing outcomes

A controlled two-arm study: paired sections, one control and one treatment, replicated across two semesters and measured on departmental exam grammar and writing sections.

Peer vs. bot vocabulary use

How does vocabulary use differ between student-to-student and student-to-bot conversation? Both happen in one interface under one analytics layer, so the contexts can be isolated per learner. From Fall 2026.

The Language Flagship Technology Innovation Center
U.S. National Science Foundation
World Languages 360

What do you want to study?

Get in touch. We'll collaborate on study design, data access, and technical configuration to support your research goals.

Research stipends and free app use are available for qualifying studies; mention your interest below.

The messaging client is open source, so you can audit exactly what your participants' data does. Read our Privacy Policy.

What kind of support are you looking for?