LingoLesson is an on-demand content creation and administration platform for language teachers. It allows teachers to create, assign, and manage interactive lessons that combine reading, writing, listening, and speaking, with a particular emphasis on speaking.

It builds on the foundations of ZenGengo, with a stronger focus on flexibility, usability, and scalable lesson creation.

LingoLesson introduces three main changes:

• More flexible lesson creation. Lessons can be assembled using a combination of questions and media in a modular way, similar to Google Forms, rather than relying on a fixed set of assignment types.
• A more intuitive and user-friendly experience. The interface has been simplified to reduce setup time and make navigation easier for both teachers and students.
• A foundation for future AI support. The platform is being developed to support AI-assisted workflows without removing teacher control.

ZenGengo will continue to be supported for the foreseeable future, with a provisional end-of-life through to the end of 2028 for individual subscribers, and longer transition periods for institutional users.

At the same time, LingoLesson is being developed as the next step forward. The intention is that it addresses known limitations in ZenGengo while introducing meaningful improvements. Over time, the goal is for LingoLesson to become the natural successor, with a gradual and well-supported transition.

A migration tool is being explored to support the transfer of lessons, materials, and students.

Details are still being defined and will be confirmed closer to rollout.

ZenGengo and LingoLesson will operate as separate products during the transition.

During the private beta phase, LingoLesson is available at no cost for anyone with a current ZenGengo subscription, allowing users to explore the platform without additional financial commitment.

The beta currently includes:

• Lesson, course, and class creation
• Student submissions
• Teacher feedback tools

Some features are still being developed and improved as part of the beta process. The current priority is to establish a stable and flexible core system before expanding functionality further.

Audio recording is a core feature, allowing students to record and submit spoken responses as part of their work.

Video recording is also a core feature, enabling students to submit video-based responses within activities.

These features are considered especially important in a context where it is becoming increasingly difficult to verify that written work completed online reflects a student’s genuine ability. Audio and video submissions provide a more direct indication of actual language ability.

At present, AI functionality is focused on voice-related features:

• Text-to-speech, for generating audio from written content, such as creating listening materials from teacher-written prompts
• Speech-to-text, for transcribing student responses to support review and feedback

Over time, selected generative AI features are expected to be introduced in a measured way. Possible applications include:

• Supporting task creation, such as generating discussion prompts, role-play scenarios, or comprehension questions
• Adapting content to different levels of difficulty
• Suggesting feedback or highlighting patterns in student errors
• Generating model responses for comparison in speaking or writing tasks

The intention is to reduce repetitive preparation and feedback workload while keeping teachers fully in control of lesson design, evaluation, and interaction.

LingoLesson provides visibility into student activity and progress, helping teachers monitor engagement and completion.

This includes:

• Activity completion tracking. Teachers can see which lessons or tasks students have started, completed, or not yet attempted.
• Submission records. All student submissions (audio, video, written) are accessible in one place for review.
• Timeline of activity. It is possible to track when students complete tasks, which can support monitoring consistency or administrative needs such as billing.

For example:

• Identifying which students have not submitted a speaking task before a lesson
• Reviewing all audio or video submissions for a specific assignment in one view
• Checking whether a student is completing work regularly over time

The aim is to provide practical oversight without adding unnecessary administrative complexity.

LingoLesson is currently in private beta, with access expanding over time.

A full release timeline will be confirmed at a later stage.

During the private beta phase, LingoLesson is available free of charge to all users.

Following official launch, a limited free version will remain available.

Pricing is expected to fall in the range of $1–$3 per student per year, although this is still to be confirmed.

Optional add-ons are expected to include:

• 10 hours of speech-to-text (STT): $3
• 1 million characters of text-to-speech (TTS): $3
• 1 million AI tokens: $3

The pricing model is designed to align broadly with ZenGengo while remaining accessible to educators working in a wide range of contexts.

Discord is used as the primary feedback channel:

https://discord.gg/McnTu4gUN8

Additional resources are available here:

Webinar with Joe Dale

Quick start guide (PDF)