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This project has been funded with support from the European Commission.
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Testimonials from the participants in the iMath project.
The iMath Project has revolutionized my teaching approach. Its diverse range of optimization and learning algorithms resources caters perfectly to my curriculum needs. The integration of artificial intelligence in its learning environment not only engages students but also enhances their understanding of complex mathematical concepts. A must-have for any math lecturer striving for excellence in education.
Anastasios Terzides, Greece
Making learning more engaging and applicable to real-world scenarios, while fostering critical thinking and problem-solving skills for students. It also enhances student motivation and participation. This practical focus encourages students to pursue STEM fields and equips them with skills necessary for the modern workforce. The project provides extensive support for educators through wonderful documentation.
Antonio Rodríguez García, Spain
The Optimization and Learning section does its job of bringing together good sources on various topics related to ML and becomes a good source of reference. The OptLearn Algorithm topics have a more practical bias, often based on GitHub repositories with implementation examples and a technical report. The Online Resources section has a slightly more didactic language.
Isabel Pedrosa, Portugal
Libraries are for me the most interesting part for students that can start to face the problem of learning from complex material (like scientific articles). IMath for me is a very good platform that should be replicated or extended to other fields of science like cybersecurity (my main field of expertise)
Alessio Merlo, Italy
26/06/2024
The multiplier event to disseminate the ideas and methods developed in the iMath project was embedded into an educational conference on electronics, which took place at the Universidad de Málaga 26-28 of June 2024.
We live in a time when Artificial Intelligence (AI) is almost everywhere, and almost everyone talks about it. The media is full of news and opinion articles, often written by people with weight in the field of communication, but without technical knowledge in the subject matter. These articles often repeat a narrative of potential dangers, biases, and deficiencies attributed to AI that could equally be attributed to humans. In the debate, we aim to analyze, in a reflective manner based on knowledge and experience, some key aspects of AI, such as its impact on our societal model and current teaching processes, or its way of learning and possible resources to reduce its errors and biases.
The iMath project organised a round table meeting to discuss about the developed methods, the online resources and the new recommender system for MathE. For the round table, we invited 4 experts to initiate the discussion and an experienced professor of the University of Málaga as discussant to lead the debate. In an afternoon session, the iMath project organised a demonstration session for electronic learning tools. When several parallel sessions finished, one plenary session in a laboratory exposed the value of an e-learning environment and demonstrate the contribution of AI in generating a recommender system.
13/06/2024
The sixth partners' meeting of the iMath project took place in Braganca (PT). The meeting was organized in a hybrid modality and all partners participated in person or online. The main discussed topics were:
- Demonstration of the OptLearn Algorithm installed on the new version of the MathE Portal
- Presentation of the organized multiplier events
- Presentation of the strategies to guarantee the sustainability of the iMath project results
- Presentation of the target groups' assessment of the project results
20/05/2024
The iMath Project Multiplier Event, hosted by the University of Peloponnese, successfully gathered over 50 math lecturers, researchers, and university-level students for a day of dynamic discussions and collaborations. The event began with a warm welcome from Professor Paris Kitsos, followed by Professor Spiros Sirmakessis providing an insightful overview of the iMath Project’s goals to integrate artificial intelligence into mathematical education. Participants also engaged with Professor Marios Katsis’s comprehensive presentation on optimization algorithms and explored the innovative OptLearn Algorithm presented by Professor Sirmakessis, sparking lively discussions and new perspectives.
As the event concluded, attendees participated in networking and discussions on the practical applications of the OptLearn Algorithm and the various resources offered by the iMath Project. This event not only inspired and energized participants but also laid the groundwork for future collaborations, driving forward the innovation and improvement of mathematical education. The success of the event underscored the importance of interdisciplinary collaboration and set the stage for ongoing exploration in the field.
