Assess and improve

The students' knowledge is assessed on a statistical basis, through algorithms that evolve by learning from the actual students' behaviour.

The Wondertech software estimates a student's preparation level and is then able to assign targeted exercises and provide specific tips on the actual topics the student needs to revise or elaborate on in more depth.

Through these methods, the test is both an assessment and a learning tool

Since 2009 Wondertech helps Zanichelli Editore, the most impostant company in Italy for education, in the development of Zanichelli Adaptive Engine and MATutor projects.

The Wondertech software identifies the student’s level of competence, and assigns specific exercises

Student is better motivated and supported to improve

The difficulty level of the exercises is matched with the actual needs of the student

The student is helped to assess his understanding of a topic and if there are some specific items in which to improve


The teacher gets information helpful to understand if students have correctly learned a lesson

Adaptive algorithms

Wondertech has developed specific algorithms based on the psycometric Item Reponse Theory (IRT).

This theory underpins the most important American education tests, as Graduate Record Examination (GRE) or Graduate Management Admission Test (GMAT).

The Wondertech Artificial Intelligence algorithms constantly improve their assessment capabilities by learning from the users' behavior itself, thus enabling a high level of personalization in delivering instruction and training.



Wondertech is a microenterprise founded in 2009. Wondertech strengths rare mash-up programming, innovative HCI with smartphone, mock-up based design, adaptivity algorithms, serious games.


Wondertech S.r.l.

P.iva 01870520994

Via Nizza 3/2 - 16145 Genoa (Ge) - Italy

Tel. +39 010 3626188