Data Storytelling in Learning Analytics: AI-Driven Competence Assessment

Ainhoa Álvarez; Aitor Renobales-Irusta; Mikel Villamañe

2025 - Proceedings of the 14th International Conference on Data Science, Technology and Applications

Ponencia

Línea investigación:
Mejora de procesos educativos mediante la integración de analítica del aprendizaje
Autores (p.o. de firma):
Ainhoa Álvarez; Aitor Renobales-Irusta; Mikel Villamañe
Descripción:

Learning dashboards have become very popular, but the information shown on them is often difficult to interpret by users. Different authors have worked to improve dashboards including narratives or data storytelling techniques. However, creating these narratives is a complex process. Several studies have begun to analyse the use of GenAI tools to generate these narratives in a scalable way, but this is still an area of study that is at an early stage. In this paper, we present a proposal and a study aimed at generating narratives using GenAI, extending previous work by aligning the generated narratives with the curriculum design of the course. We first present a proposal for generating the narratives and then a study to evaluate their adequacy.

Año publicación:
2025
Página inicio:
536
Página fin:
543
ISBN - ISSN:
978-989-758-758-0
Nombre publicación:
Proceedings of the 14th International Conference on Data Science, Technology and Applications
Nombre congreso:
International Conference on Data Science, Technology and Applications (DATA 2025)
Lugar celebración:
Bilbao
País:
España
Fecha inicio:
2025-06-10
Fecha fin:
2025-06-12