TY - JOUR
T1 - Integrating Computer-aided Argument Mapping into EFL Learners’ Argumentative Writing
T2 - Evidence from Saudi Arabia
AU - Alsmari, Nuha Abdullah
N1 - Publisher Copyright:
© 2022, International Journal of Advanced Computer Science and Applications. All Rights Reserved. All Rights Reserved.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Argument mapping
KW - Argumentative writing
KW - Computer-aided argument mapping
KW - Saudi efl learners
KW - Self-regulated learning
UR - http://www.scopus.com/inward/record.url?scp=85141749137&partnerID=8YFLogxK
U2 - 10.14569/IJACSA.2022.0131013
DO - 10.14569/IJACSA.2022.0131013
M3 - Article
AN - SCOPUS:85141749137
SN - 2158-107X
VL - 13
SP - 98
EP - 104
JO - International Journal of Advanced Computer Science and Applications
JF - International Journal of Advanced Computer Science and Applications
IS - 10
ER -