Generation of exercises and activities by AI

Through vectorization, creation of complex knowledge trees and Natural Language Processing (NLP), the generation of exercises and activities is done automatically by AI.

I. Fill-in-the-blanks questions

This type of question is to encourage learners to apply knowledge they have already acquired.

II. Odd one out questions

This type of question is used to test the ability of students to think about patterns and relationships between ideas. This question examines whether you are reading the questions and answers carefully.

III. Multiple choice questions

Used most effectively to measure both simple knowledge and complex concepts. They assess the student’s mastery in many topics in a short period of time.

IV. Sequential order questions

It assists with comprehension, especially for narrative texts. Sequence structures help students of varying abilities organize information and ideas efficiently.

V. Categorize Questions – Drag and Drop

The students will be able to comprehend, reason, explain and expand on what they have learned.

VI. True or false questions

It is used to measure the ability of students to recognize the correctness of the statements and to test critical thinking.

VII. Listing questions 

This question allows students to go into as much detail as they care to so they can explain what they learned more fluently.

VIII. Open-ended questions

The advantages of open-ended questions are that they gather opinions and thoughts from respondents, offering much deeper, more thorough, often subjective information.

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