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Methodology for the Quality of Mobile Learning in Computer Sciences.

EasyChair Preprint 11101

10 pagesDate: October 23, 2023

Abstract

The rise of technologies and information networks have made learning available to everyone. Derived from applied instruments, the need for training and professional development of teachers was diagnosed regarding improving the quality of mobile learning in subjects. identified from computer sciences. This work aims to present a methodology proposal for the quality of mobile learning at the University of Computer Sciences. Qualitative methodology was used with the use of theoretical and empirical techniques and methods. Among the main results was: a methodology for the quality of mobile learning for training development in the selected subject through the use of the messaging and VOIP platform, Telegram. The use of the methodology provided teachers with professional performance to improve the quality of the subject they taught, based on the training and development achieved in the improvement offered by the Center for Innovation and Quality of Education projects, which was created an environment for the construction of knowledge in a collaborative way and more immediate attention to the students, who showed greater interest and motivation when carrying out the activities using mobile devices.

Keyphrases: Aprendizaje móvil, Calidad, Dispositivo móvil, Metodología, m-learning

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:11101,
  author    = {Marta Mulet Fernández and María Caridad Valdés Rodríguez and Liber Labrada Suárez},
  title     = {Methodology for the Quality of Mobile Learning in Computer Sciences.},
  howpublished = {EasyChair Preprint 11101},
  year      = {EasyChair, 2023}}
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