A digital tool designed to support secondary education teachers' professional development and to develop students' oral language competence

Publication date

2024-09-10T12:11:02Z

2024-10-16T05:10:11Z

2025

2024-09-10T12:11:03Z

Abstract

Digital tools can guide and support teachers in professional development programmes. The aim of this study was four-fold: (1) to explore changes introduced in classroom methodology by secondary school teachers during their participation in a professional development programme, using the digital tool EVALOE-DSS, based on conversational methodology; (2) to analyse the impact of introducing conversational methodology in the development of students' oral competence; (3) to determine the relation between students' self-perception of oral competence and self-perceived emotional competence; and (4) to find out the teachers' opinion about their experience in the programme. The instruments used were the digital tool EVALOE-DSS, the Test of Self-Perceived Oral Competence, the Self-Report of Emotional Intelligence, the Trait Meta-Mood Scale, and a satisfaction questionnaire. The study was developed in four phases: initial intensive training, intervention using the digital tool for four months, students' assessments and teachers' evaluations. The results of teachers' self-assessments using the EVALOE-DSS showed that their self-assessment of classes significantly improved throughout their participation in the programme. In addition, students whose teachers participated in the programme were self-perceived as more competent at oral language, and this had a positive influence on their self-perception of emotional competence. Finally, teachers were positive about their participation in the training process using the EVALOE-DSS. Inconclusion, this study seems to suggest that a professional development programme using a Computer Assisted Language Learning (CALL) tool could provide an important strategy for increasing teachers' oral language teaching quality and improving student learning.

Document Type

Article


Accepted version

Language

English

Publisher

Taylor & Francis

Related items

Versió postprint del document publicat a: https://doi.org/10.1080/09588221.2023.2197963

Computer Assisted Language Learning, 2025, vol. 38, num.3, p. 426-452

https://doi.org/10.1080/09588221.2023.2197963

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(c) Taylor & Francis, 2025