Metadiscourse is one linguistic component that helps authors make their writing coherent and reader-friendly (MD). All authors write for their readers, and by honing their MD skills, they may successfully engage with them. It's crucial for writers to tie their readers to the propositional content in the engaging part. Some authors are more adept at predicting the interests and concentration spans of their readers. There has been an increase in research on MD analyses of academic papers among writers who write in a second language (L2). This systematic review study provided empirical research on MD analysis studies among writers who write in English as a Second Language (ESL) to identify and summarize the studies that are related to MD analysis of L2 writings. The articles are from Scopus, Web of Science (WOS) and Google Scholar from January 2018 until December 2022. It was found that 26 journal articles are eligible for the analysis. The result showed that the present studies had been identified its aims to review previous pertinent research in terms of research design, study types, conceptual framework, taxonomies, corpus characteristics and elicitation measures, analytical methods and reporting practices to be beneficial in assisting L2 writers to write coherently and effectively.
This study aims to investigate the effectiveness of AI software, Automated Writing Evaluation (AWE), in identifying grammatical errors and increasing writing abilities among Malaysian public university students, as well as their perspectives on AI software in enhancing writing skills. The outcomes of this study reveal that students have good attitudes toward the implementation of AWE. The findings have implications for using artificial intelligence (AI) software (AWE) in ESL writing classes. Moreover, future scholars are anticipated to do similar research to increase the effect and relevance of this work. Keywords: Artificial Intelligence; Automated Writing Evaluation; Writing Skills; Technology eISSN 2514-7528 ©2023. The Authors. Published for AMER & cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under the responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), and cE-Bs (Centre for Environment-Behaviour StudiesCollege of Built Environment, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/jabs.v8i24.420
This study aims to investigate the effectiveness of AI software which is Automated Writing Evaluation (AWE) in detecting grammatical errors in improving writing skills among Malaysian public university students and examine their perceptions of AI software in improving writing skills. The findings of this study show the positive perceptions of students towards the implementation of AWE. The study provided implications for the effective use of AI software (AWE) in ESL writing classrooms. Finally, future researchers are expected to conduct research on a similar topic to enhance the impact and significance of this study. Keywords: Technology application, Artificial Intelligence, writing skills, automated writing evaluation eISSN: 2398-4287© 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI
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