Placement that adapts to learners: what we’re building next at BOOKR Class

BOOKR Kids is developing a new AI-driven, multi-adaptive online language placement and proficiency assessment system with HUF 249.57 million (approx. EUR 662,000) in non-refundable European Union funding, implemented under the Széchenyi Plan Plus programme (DIMOP-PLUSZ-1.1.2/B-24).

Teachers already do an incredible job differentiating -but they’re often asked to do it with limited, imperfect information. A single paper test, a quick oral check, or last year’s grades can’t capture the reality of a learner’s skills today -especially in mixed-ability classrooms.

What schools need is an assessment that is:

• Fast (so it fits real school schedules),
• Accurate (so learners start at the right level),
• Skill-sensitive (so it doesn’t reduce “language” to one score),
• Practical (so teachers can act on the results immediately).

Adaptive assessment isn’t about making a test “harder” or “easier” randomly – it’s about using each response to identify the learner’s current zone and then selecting the next task accordingly.

In the system we’re building, the test will:

• adjust difficulty in real time,
• move through tasks in a way that stays challenging but achievable,
• and produce outputs that are usable for teachers (not just a score).

The goal is a placement experience that feels less like an exam and more like a guided pathway that meets students where they are.

Language ability is not one single skill. A learner might have strong listening but weaker reading, or solid vocabulary but low confidence in speaking. A single-number result often hides what teachers actually need to know.

That’s where the “multi” in multi-adaptive comes in. We’re designing the assessment to capture a more nuanced learning profile through multimedia tasks, helping schools understand strengths and gaps across key areas.

BOOKR Class is built around the idea that learning sticks better when students are genuinely engaged. That’s why we use story-based, interactive learning and provide teachers with tools to manage progress in real time.

This new assessment strengthens that ecosystem by making the starting point clearer and the learning journey more precise. Placement results will feed into:

• better grouping,
• more realistic targets,
• and more personalised learning plans inside BOOKR Class.

Our aim is simple: reduce guesswork.

With a more accurate placement and clearer diagnostics, teachers can:

• identify who needs support vs. challenge,
• set measurable goals,
• track growth over time,
• and intervene earlier when a learner starts to fall behind.

In short: less time spent trying to “figure out the level,” more time spent teaching.

Our aim is simple: reduce guesswork.

For students, the biggest benefit is emotional as much as academic: starting at the right level builds confidence.

When learning feels achievable, students are more likely to:

• participate,
• take risks,
• keep going,
• and develop the habits that lead to long-term progress.

Development will run through multiple phases- from research and prototyping to piloting and refinement – with completion expected by early 2027. We’re building this with real classrooms in mind, and we’ll share learnings along the way.

If you’re a school partner interested in participating in pilots or giving feedback on what “useful assessment results” look like in practice, we’d love to hear from you.

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