The REMEDIATE project develops and applies a set of digital, methodological, and pedagogical resources that bridge teacher education, mathematics learning, and digital storytelling. These applications and resources serve both training and research purposes.
Digital and Technological Tools
REMEDIATE integrates multiple technological environments to facilitate digital storytelling, data collection, and analysis.
The main platforms include:
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e-Class – for the organization of online learning, asynchronous communication, and submission of materials.
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Webex – for synchronous workshops, reflective co-laboratories, and group discussions.
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ATLAS.ti – for qualitative analysis of multimodal data (digital stories, interviews, reflective reports).
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SPSS – for the statistical analysis of quantitative data from questionnaires.
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REDCap / Microsoft / Google Forms – for secure data management and digital questionnaire distribution.
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Dropbox and Cloud-based tools – for sharing and archiving multimedia content.
Applications in Teacher Education
The project’s approach is designed for integration into undergraduate teacher education programmes, particularly for pre-service primary school teachers.
The use of Digital Storytelling (DST) enables the participants to:
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explore their own relationship with mathematics,
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experience alternative ways of learning and teaching mathematics,
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engage in personal and collective reflection, and
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develop inclusive and affective pedagogical practices.
These applications demonstrate how DST can operate as a didactic and affective tool, bridging emotion, cognition, and digital creativity in the mathematics classroom.
Research Resources and Outputs
REMEDIATE produces a range of research and educational resources, including:
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validated questionnaire sets for mapping affective and cognitive relationships with mathematics,
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collections of digital stories as reflective artefacts and educational examples,
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guidelines for ethical and pedagogical use of DST in teacher training,
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and analytical frameworks for understanding teacher identity reconstruction in mathematics education.
The project’s materials will be made available for researchers and educators interested in affect, identity, and technology-enhanced learning, supporting future implementations of DST-based methodologies across educational levels.