Exploring interactive and interactional metadiscourse in expository writings of ESL hard science and soft learners/ Masliza Mat Zali ... [et al.]

The coherence of an essay is maintained with interactive and interactional metadiscourse (MD). Writing involves one-way interaction between the writer and reader, making it difficult for Second Language (L2) learners to compose effectively and thoroughly. Furthermore, students have a limited understanding of MD markers and prefer to exclusively employ specific MD markers, such as transition markers and self-mentions, in their writing. The study aims to find out if learners in different course groups employ different MD types, different MD features, or the same amount of MD features across the two groups. This study evaluates interactive and interactional MD markers in 40 expository essays authored by ESL learners from hard and soft science courses using Hyland's MD table (2005). Data collected was charted and transferred into frequency and percentage. The two groups, hard science and soft science used different materials in varying amounts and varieties. Soft science learners generated more MD features for interactive and interactional MD. They were more interpretative, whereas hard science learners were assertive in their writing and produced fewer MD features for both MD types. The study provides insight into improving students' awareness and use of MD, thereby enhancing their writing performance.

Publication Details

Journal
UiTM Institutional Repositories (Universiti Teknologi MARA)
Published
2024-12-01
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring interactive and interactional metadiscourse in expository writings of ESL hard science and soft learners/ Masliza Mat Zali ... [et al.]

UiTM Institutional Repositories (Universiti Teknologi MARA)
Magnetic confinement fusion research
article

Exploring interactive and interactional metadiscourse in expository writings of ESL hard science and soft learners/ Masliza Mat Zali ... [et al.]

article en

Abstract

The coherence of an essay is maintained with interactive and interactional metadiscourse (MD). Writing involves one-way interaction between the writer and reader, making it difficult for Second Language (L2) learners to compose effectively and thoroughly. Furthermore, students have a limited understanding of MD markers and prefer to exclusively employ specific MD markers, such as transition markers and self-mentions, in their writing. The study aims to find out if learners in different course groups employ different MD types, different MD features, or the same amount of MD features across the two groups. This study evaluates interactive and interactional MD markers in 40 expository essays authored by ESL learners from hard and soft science courses using Hyland's MD table (2005). Data collected was charted and transferred into frequency and percentage. The two groups, hard science and soft science used different materials in varying amounts and varieties. Soft science learners generated more MD features for interactive and interactional MD. They were more interpretative, whereas hard science learners were assertive in their writing and produced fewer MD features for both MD types. The study provides insight into improving students' awareness and use of MD, thereby enhancing their writing performance.

UiTM Institutional Repositories (Universiti Teknologi MARA)
Universiti Teknologi MARA
Quality Education
Openalex Percentile: Top 52%
Magnetic confinement fusion research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.