Introducing ImmerseMe 2.0: The Science of Fluency

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Introducing ImmerseMe 2.0: The Science of Fluency

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Dear Educators,

Over the past two years, we’ve been rethinking a simple question:

What actually causes language learning to happen?

As we’ve built ImmerseMe 2.0, we’ve grounded our thinking in cognitive science—particularly research into memory, working memory, and retrieval practice.

One idea stood out above all:

“Memory is the residue of thought.”
— Daniel Willingham

Students don’t learn by exposure alone. They learn by thinking, retrieving, and using language.

This insight has shaped everything we’re building next.

A Simple Model: Effort → Growth → Fluency

We believe language learning can be understood through three core pillars:

💪 Effort

The cognitive work students put in

Effort isn’t just time spent—it’s the quality and intensity of thinking.

We focus on:

  • Responses attempted

  • Words spoken (total output)

  • Minutes speaking

  • Scenario difficulty

  • Response length and complexity

  • Retry attempts and persistence

Because without effort, nothing else happens.

🌱 Growth

The language that actually sticks

Growth is what moves into long-term memory.

When students actively process and use language, they begin to acquire it.

We track:

  • New vocabulary encountered and successfully used

  • Grammar development over time

  • Pronunciation improvement trends

  • Error reduction rates

  • Success with unfamiliar language

  • Real-world scenario coverage

This is where learning becomes visible.

🗣️ Fluency

The ability to use language automatically

Fluency is not just knowing—it’s being able to perform.

It develops through repeated retrieval and use.

We measure:

  • Response latency (how quickly students begin speaking)

  • Speech rate and flow

  • Hesitation frequency

  • Sentence length and complexity

  • Vocabulary diversity

  • Accuracy in spontaneous communication

This is where language becomes usable.

How This Aligns with Cognitive Science

Each pillar maps directly to how the brain learns:

Pillar

💪 Effort

🌱 Growth

🗣️ Fluency

Brain System

Working Memory

Long-Term Memory

Retrieval Systems

What’s Happening

Active processing and cognitive load

Encoding and retention

Speed, automaticity, recall

This also aligns with established language research, including the CAF model (Complexity, Accuracy, Fluency) (Housen & Kuiken, 2009).

Why This Matters

Many language tools still rely heavily on recognition:

  • Multiple choice

  • Matching

  • Passive review

But research consistently shows:

Effortful retrieval leads to stronger, longer-lasting learning.

This concept—known as “desirable difficulty” (Bjork & Bjork, 2011)—explains why harder, more active learning leads to better outcomes.

When students must retrieve and produce language:

  • learning becomes deeper

  • retention improves

  • fluency develops faster

This is why ImmerseMe focuses on situational speaking and active production, not passive interaction.

What We’re Building with ImmerseMe 2.0

ImmerseMe 2.0 is not just a feature upgrade.
It’s a shift toward a more intelligent, measurable, and future-ready learning platform.

We are:

🧠 Grounding everything in cognitive science

Embedding principles like retrieval practice, cognitive load, and automaticity into everyday learning

🤖 Using AI to measure real performance

Tracking how students actually use language—speech, timing, structure, and fluency

📊 Turning data into meaningful insight

Moving beyond “activity completed” to show real progress in Effort, Growth, and Fluency

🎯 Focusing on real-world communication

Designing immersive, situational experiences that reflect how language is used outside the classroom

🚀 Building for the next decade

Creating a platform that can adapt, personalise, and scale with the future of education

🌍 Working with forward-thinking educators

Partnering with teachers who want to shape what language learning becomes next

A Key Milestone

After months of building, we’re approaching an exciting moment:

📅 6–10 July 2026 — Migration Week

This is when ImmerseMe 2.0 will fully replace our current platform.

It marks a major step forward in how students learn—and how teachers measure progress.

An Invitation

We’re opening early access to a small group of educators.

If you’re interested in:

  • shaping the future of language learning

  • exploring new ways to measure student progress

  • giving feedback on what we’re building

We’d love to work with you.

👉 Simply email hello@immerseme.com with “Early Access” and we’ll be in touch.

Looking Ahead

We believe the next decade of education technology will focus on:

  • measuring real learning—not just activity

  • aligning product design with cognitive science

  • helping students build true, usable fluency

That’s the direction we’re committing to.

And we’re here to build it - with you.

🙏 Thank you for the work you do every day - helping students find their voice in another language!

Scott Cardwell holding 360 camera and smiling at the camera
 

Scott Cardwell
Co-founder & CEO, ImmerseMe

🌏 immerseme.com


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Chloé Briand

Chloé Briand

Embedding ImmerseMe into Classroom Practice and Curriculum Design

by Chloé Briand, Head of Languages (Melbourne, Australia) - 18 years language teaching experience

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1. Learning continuum:

Students work from Pronunciation mode to Immersion mode (from introduction to spontaneity).

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2. Introduction to students:

Start with pre-teaching activities focusing on Listening (thorough processing, sound recognition and sound discrimination).

All language items included in script should be drilled so that students are confident with producing the sounds required.

Use the play feature for each sentence to make them practise before attempting to complete the dialogues.

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3. Pronunciation mode:

When they feel ready, students attempt to complete 1 full dialogue (possibility to extend higher ability students by completing all possible versions of dialogue).

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4. Consolidation oral to written word: transition to Writing mode

Students switch to structured written production with scaffolding from spelling support to no support (according to students’ needs, further spelling practice can be included in between the 2 modes, and visual support can also be provided to assist in reaching further autonomy).

5. Writing mode:

Drill completed over several lessons to ensure maximum retention (visual support gradually removed if appropriate); translation provided as guidance supports students in consolidating automaticity of transfer across languages.

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6. All round skill transfer: from Writing Mode to Translation Mode (oral)

Students transfer back to speech and translate sentences provided (can use the script at the start of lesson to refresh their memory; ability to pronounce words with accuracy is strengthened through repetition of cycle.

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7. Autonomy and Spontaneity:

Students produce language on the spot through synthesizing all required elements provided and assembling them into an accurate sentence (mostly for higher ability students and/or students at the end of a module to check ability to produce language spontaneously).

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8. Data Analysis to monitor student progression:

Check students’ accuracy sentence by sentence and check overall completion/accuracy: analyse for each student (i.e.: percentage completed along accuracy – did the student go slow and produce highly accurate language? Did they rush and miss out on a few key sentences? Did they manage to complete a full dialogue in one go? Did they break it down?) and use as personalised feedback.

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