Personalized, Adaptive, and Accessible Learning Paths: User Experience and Assessment

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Resumen

The craving for adaptive learning is more viable from the technological advancement of LMS, AHS, and LXP by generating learning experiences that dynamically adjust to the level or type of course content, based on the student's abilities; the objective of this research is to develop learning paths guided by the activation of rules based on the analysis of the performance of each student to the various activities, sending alerts or personalized messages in addition to providing feedback with digital resources depending on the performance of students in the training activities of a subject; these digital resources also meet accessibility criteria and generate alternative formats to meet learning styles. The results of triggering rules are presented using the Open LMS PLD, where it can be appreciated that as the subject develops, the percentage of students in level A increases and those in level C decreases, in addition to an acceptable evaluation from students of the messages and alerts they receive.

Idioma originalInglés estadounidense
Título de la publicación alojadaDSAI 2022 - Proceedings of the 10th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion
EditorialAssociation for Computing Machinery
Páginas114-121
-8
ISBN (versión digital)9781450398077
DOI
EstadoIndizado - 31 ago. 2022
Evento10th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion, DSAI 2022 - Lisbon, Portugal
Duración: 31 ago. 20222 set. 2022

Serie de la publicación

NombreACM International Conference Proceeding Series

Conferencia

Conferencia10th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion, DSAI 2022
País/TerritorioPortugal
CiudadLisbon
Período31/08/222/09/22

Nota bibliográfica

Publisher Copyright:
© 2022 ACM.

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