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.
