Integrating Computer-aided Argument Mapping into EFL Learners’ Argumentative Writing: Evidence from Saudi Arabia

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

This paper aims to examine the effects of Computer-Aided Argument Mapping (CAAM) on Saudi EFL learners’ argumentative writing performance across the development of writing content and coherence and their self-regulated learning skills. A total of 40 second-year university EFL learners were purposively selected as a one-group of pre and post-test design. Using a mixed-method approach, three research tools were utilized: pre and post-writing tests, a Self-regulated Learning Scale (SRLS), and semi-structured interviews. Quantitative results demonstrated that EFL learners’ argumentative writing performance made noteworthy gains, as manifested by the statistically significant differences between their pre and post-test scores. Significant positive correlations were also found between the EFL learners’ overall argumentative writing performance and the SRL factor subscales, indicating an increase in the self-regulation mechanism relative to planning, self-monitoring, evaluation, effort, and self-efficacy. Qualitative results indicate that the participants have positively embraced the integration of CAAM to improve their writing skills and self-regulation processes. Recommendations for implementing digital mapping to revolutionize EFL learning classrooms in this digital era are provided.

Original languageEnglish
Pages (from-to)98-104
Number of pages7
JournalInternational Journal of Advanced Computer Science and Applications
Volume13
Issue number10
DOIs
StatePublished - 2022

Keywords

  • Argument mapping
  • Argumentative writing
  • Computer-aided argument mapping
  • Saudi efl learners
  • Self-regulated learning

Fingerprint

Dive into the research topics of 'Integrating Computer-aided Argument Mapping into EFL Learners’ Argumentative Writing: Evidence from Saudi Arabia'. Together they form a unique fingerprint.

Cite this