Konomondo is edventure Studios’ learning world

Learning with Konomondo

Smart learning data. Research-informed guidance.

Konomondo combines mathematics education, learning theory, educational psychology and motivation research with focused assessment, structured practice data and personal support from tutors.

The learning cycle

The game captures learning information. People give it meaning.

Explore the six steps and see how individual answers become a personally guided learning path.

01Discover

Make strengths and knowledge gaps visible.

A focused starting assessment checks one topic in around 20 minutes. The comprehensive analysis takes roughly one hour and can be guided by a tutor if requested.

Evidence rather than guesswork

Two views of learning

One learning moment. Two different perspectives.

Learners can focus on their next goal, while tutors receive the detail needed for sound teaching decisions.

LEARNER01 / 02

A clear next step

  • A maths question and immediate correct/incorrect feedback
  • An additional hint on some questions
  • Water as an immediate in-game reward
  • Growing plants as visible learning progress

An example learning path

How a knowledge gap becomes a useful next step.

Lisa is a fictional example. Her journey shows how Konomondo and tutors already work together today.

Assessment: functions

Lisa is preparing for an assessment on functions.

She enters her year group, textbook and current goal. This gives the game and her tutor a shared starting point.

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Built transparently

Personally adaptive today. Increasingly automated by the end of 2027.

Our tutors currently select suitable follow-up questions. The recommendation system that will progressively support and automate this work is in development.

TODAY

Tutors as the human in the loop

  • Every question is structured by skill and skill level.
  • Tutors select suitable follow-up questions.
  • Tutors can review the detailed answer history.
  • Learners experience progress through plant growth.
RELEASE: END OF 2027

Automated recommendations with human oversight

  • Automatic suggestions for suitable follow-up questions.
  • Data-informed planning of useful revision.
  • Increasingly adaptive paths based on answer development.
  • More detailed learning analytics for learners and tutors.

A proprietary assessment logic considers subject development and learning over time. Its exact calculation remains part of our protected product development.

Research foundations

A learning design open to evidence.

Konomondo is informed by established learning research. Research cannot guarantee the effect of a particular product, but it helps us design deliberately and keep our claims realistic.

Knowledge-space theory provides a mathematical foundation for modelling competencies, dependencies and possible knowledge states.

Doignon & Falmagne: Knowledge Spaces

Discover your learning path

Find out where your knowledge garden begins.

Take assessment