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Mathematics Course Lecturing: AI Platform as an Enabler

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Advances in Information and Communication (FICC 2024)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 920))

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Abstract

Teaching Mathematics in a University course remains a challenge for teachers. However, a panoply of trendy technologies, such as Artificial Intelligence and others, can be an important lever in the learning process. Adopting an AI-assisted approach will certainly benefit the learning process while allowing for a personalized student experience in the learning process. A proposed platform will enable a smart and individualized learning environment. With the support of online testing, an adaptative learning proposal can emerge. Taking into account each student, the solution will advise the best path for academic success. After the diagnosis of each online test, the student will be advised to direct the study focus to e-books and multimedia content and, subsequently, the teacher will be informed about the learning progress of each student. The first phase of the project conducted from March till July of the current year has enabled a preliminary prototype that implements the chatbot and sends notifications to the lecturer – in order to, at this moment of the project, suggest the best content for the student's progression. The path is moving into a totally autonomous platform that performs all the smart mathematics content adjustments to fulfill the learning needs of each student. This will go beyond all the innovative mathematics learning practices and the authors strongly believe that will be an important lever for a better learning environment.

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Author information

Authors and Affiliations

  1. ISPGAYA, Vila Nova de Gaia, Portugal

    Justino Lourenço, Catarina Lucas, Joana Paulo & José Morais

  2. University of Lodz, Lodz, Poland

    Piotr Milczarski

  3. CEOS.PP, Lodz, Portugal

    Catarina Lucas & José Morais

  4. Lodz University of Technology, Lodz, Poland

    Piotr Milczarski

Authors
  1. Justino Lourenço
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  2. Piotr Milczarski
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  3. Catarina Lucas
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  4. Joana Paulo
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  5. José Morais
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Corresponding author

Correspondence to Justino Lourenço .

Editor information

Editors and Affiliations

  1. Saga University, Saga, Japan

    Kohei Arai

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Lourenço, J., Milczarski, P., Lucas, C., Paulo, J., Morais, J. (2024). Mathematics Course Lecturing: AI Platform as an Enabler. In: Arai, K. (eds) Advances in Information and Communication. FICC 2024. Lecture Notes in Networks and Systems, vol 920. Springer, Cham. https://doi.org/10.1007/978-3-031-53963-3_3

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