STUDY OF THE CORRECTIVE GRAMMATICAL TREATMENT OF ENGLISH SUPPORTED BY MOBILE APPLICATIONS

Adriana Guanuche, Osana Eiriz, Roberto Espi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The increasing technological development of computers, tablets and smartphones has enabled a rapid increase in the adoption of mobile technology for language teaching and learning, and numerous applications that provide easy access for any learner without limitations of place and time have been developed. This paper shows the study of grammatical treatment using corrective feedback supported by mobile applications. The study subjects were first-level students of the language institute, where a control and experimental study was carried out. The experimental group was evaluated with paper-based assessments and the control group with the Canvas mobile application. Subsequently, a statistical analysis was performed for data analysis. The results show that there was a 4.9% improvement in the grades of students who used the application and received corrective feedback.

Original languageEnglish
Title of host publicationProceedings of the International Conferences on e-Society 2023, ES 2023 and Mobile Learning 2023, ML 2023
EditorsPiet Kommers, Inmaculada Arnedillo Sanchez, Pedro Isaias, Luis Rodrigues
PublisherIADIS Press
Pages335-342
Number of pages8
ISBN (Electronic)9789898704474
StatePublished - 2023
Event21st International Conference on e-Society, ES 2023 and 19th International Conference on Mobile Learning, ML 2023 - Lisbon, Portugal
Duration: 11 Mar 202313 Mar 2023

Publication series

NameProceedings of the International Conferences on e-Society 2023, ES 2023 and Mobile Learning 2023, ML 2023

Conference

Conference21st International Conference on e-Society, ES 2023 and 19th International Conference on Mobile Learning, ML 2023
Country/TerritoryPortugal
CityLisbon
Period11/03/2313/03/23

Bibliographical note

Publisher Copyright:
© 2023 Proceedings of the International Conferences on e-Society 2023, ES 2023 and Mobile Learning 2023, ML 2023. All rights reserved.

Keywords

  • Corrective Feedback
  • English Learning
  • Mobile Applications

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