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The European project entitled iMath: An Intelligent System to Learn Mathematics was written and coordinated by the project applicant and scientific coordinator Instituto Politécnico de Bragança, based in Bragança (Portugal) in cooperation with Pixel, also supporting the coordination of the planning process. The project was funded by the European Commission in the framework of the Erasmus+ Programme, KA2 - Cooperation Partnerships in Higher Education. The iMath project aims at applying an AI-driven tool to support higher education students in improving their performances in mathematics subjects.
The project develops AI-driven tool for higher education students of maths, database of learning sources, activities and self-evaluation tests creating a personalized learning path based on their previous performances.
Funding Programme
Erasmus+ Programme, KA2 - Cooperation Partnerships in Higher Education
Theme
Digital Education
Target group
Higher Education, School Education
Project Reference
2021-1-PT01-KA220-HED-000023288
Date
01-01-2022 | 30-06-2024
Role of Pixel
Partner
Project Details
Project Title
Developing AI-driven and Intelligent Systems to Learn Mathematics
Context
Usually portals supporting students in the acquisitions of knowledge related to math topics offer learning material and self-assessment tests not corresponding to the student's knowledge about the considered subject. Typically, its usage relies on static information, where the questions in the tests are being randomly selected according to pre-selected topics, from the contents of a database.
Objectives
The purpose of iMath portal is to develop a new AI-driven tool that will support higher education students with respect to mathematics subjects, providing them with a database of resources, hands-on activities and self-evaluation tests, brought together in an online dynamical platform that will help and advise them through a personalized learning path based on their previous performances.
Therefore, iMath aims to add value, lowering the perception that mathematics is too hard to be understood and contributing to mitigate the dropping out of students due to perceived mathematics obstacles.
Target Group
The main target groups of the project are:
Math Lecturers
Math Students at university level
Results
The main project results include:
A literature review about optimization, learning methods and models
An online platform based on learning algorithms that allow to adapt the contents to the needs of the students
A set of applets that assist the students in the comprehension of selected mathematical concepts