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Data-Driven Methodologies in a Digital Learning Environment for Mathematics Cover

Data-Driven Methodologies in a Digital Learning Environment for Mathematics

Open Access
|Sep 2025

Abstract

Mathematics is undoubtedly one of the school disciplines in which students generally have the most significant difficulties. Numerous studies in Mathematics education have shown that the causes of disciplinary learning difficulties are the acquisition, understanding, and management of language for specific purposes. This paper will illustrate Data-Driven learning activities with automatic formative assessment implemented within a Digital Learning Environment. The research sample comprises 40 students from two upper secondary schools in Turin, Italy. In an L1 context, students were guided to study the language of Mathematics using a concordance to analyse language and specialised texts. Students carried out activities with automatic formative assessment, featuring step-by-step and adaptive questions that guided them in discovering the peculiarities of the language in use and understanding the concepts expressed by the LPS. In this contribution, we will illustrate this close relationship between the use of technologies, the analysis of language, and the subject contents that the LSP conveys.

DOI: https://doi.org/10.5334/uproc.188 | Journal eISSN: 2631-5602
Language: English
Published on: Sep 3, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services

© 2025 Elisa Corino, Cecilia Fissore, Marina Marchisio Conte, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.