academic writing

The expression of doubt and certainty is crucial in academic writing where the authors have to distinguish opinion from fact and evaluate their assertions in acceptable and persuasive ways. Hedges and boosters are two strategies used for this purpose. Despite their importance in academic writing, we know little about how they are used in different disciplines and genres and how foreign language writers present assertions in their writing. This study explores the use of hedges and boosters in the research articles of two disciplines of Electrical Engineering and Applied Linguistics. It further examines the use of hedges and boosters by native and non-native writers of English in these research articles. Based on a corpus of twenty research articles, the overall rhetorical and categorical distribution of hedges and boosters were calculated across four rhetorical sections (Abstract, Introduction, Discussion, and Conclusion) of the research articles. The analysis shows that the overall distribution of hedges and boosters in Applied Linguistics articles is higher than Electrical Engineering articles. Moreover, there are significant differences between native and non-native writers in the use of hedges and boosters. These findings may have some implications for the teaching of academic writing especially to EFL learners.

The view that academic writing is purely objective, impersonal and informational, which is often reflected in English for Academic Purposes materials, has been criticized by a number of researchers. By now, the view of academic writing as embodying interaction among writers, readers and the academic community as a whole has been established. Following this assumption, the present study focused on how second/foreign language writers enact, construct, and invent themselves through writing. In this study, the theoretical stance on identity is grounded on Ivanič’s (1998) four interrelated aspects of writer identity, namely autobiographical self, discoursal self, authorial self, and possibilities for self-hood in the socio-cultural and institutional contexts. Hyland’s model of metadiscourse (2004a) was used as the analytical tool for analyzing texts. Based on a corpus of 30 research articles, the overall distribution of evidential markers, hedges, boosters, attitude markers, and self-mentions were calculated across four rhetorical sections (Abstract, Introduction, Methodology, Discussion and Conclusion) of the research articles. According to the results of this study, identity is a critical aspect of writing which should be brought into the mainstream of second/foreign language writing pedagogy through consciousness -raising or the specific teaching of certain features.

Like conversation and other modes of communication, writing is a rich medium for gender performance. In fact, writing functions to construct the disciplines as well as the gender of its practitioners. Despite the significance of author gender, as one constitutive dimension of any writing, it has been relatively under-researched. One way, by means of which author gender is practiced, and revealed in written discourse, is the incorporation and use of metadiscoursal categories. Examining 20 applied linguistics research articles (10 written by native male English writers and 10 written by native female English writers), the present study sought to examine whether male and female native English writers differed in their use of metadiscoursal elements. For this purpose, Hyland’s (2005) model of metadiscourse was employed as an analytical framework to identify the type of metadiscoursal elements. The results of Independent samples t-test showed that English male and female writers did not differ significantly in their overall use of metadiscourse; but, significant differences were observed in categorical distribution of metadiscoursal elements. The findings of the study can provide a sound basis for the development of pedagogical materials.

Expressing doubt and certainty in academic writings requires a cautious use of hedges and boosters. Despite their importance in academic writing, little is known about how they are used in monolingual and bilingual male and female EFL learners’ academic writings. To shed some lights on the issue, the present study investigated the use of hedges and boosters in research articles written by monolingual and bilingual male and female EFL learners. Based on the collected corpus from twelve academic research articles, the overall rhetorical and categorical distribution of hedges and boosters were identified across four sections of these articles (Abstract, Introduction, Discussion, and Conclusion). The results evinced that the overall distribution of hedges and boosters in research articles written by bilinguals was higher than that of monolinguals. Moreover, there were significant differences between male and female EFL learners in the use of hedges and boosters in their academic research articles. These findings not only paved the way for further studies in the use of hedges and boosters but they also presented some beneficial implications for teaching of academic writing to EFL learners.

This study was conducted to examine the comments provided by ChatGPT 3.5 and doctoral students on doctoral dissertation proposals. Feedback receivers’ behavioral engagement with these two feedback types was also examined. The participants of this study, selected based on convenience sampling, were 28 Teaching English as a Foreign Language PhD students from three provinces who wrote their dissertation proposals in English. The first version and revised versions of their proposals and the provided comments were analyzed to identify the feedback types and the extent they applied the comments. Furthermore, stimulated recall interviews were used to identify the reasons why they did not apply some of the participants. Findings showed that both ChatGPT 3.5 and doctoral students were successful in providing both content-related and form-related comments. These two feedback sources also provided significant numbers of elaborated and justified feedback on dissertation proposals. Feedback receivers applied most of the comments provided by these feedback sources, and the specificity levels of comments affected the incorporation rate. The findings of the thematic analysis of the stimulated recall interview data revealed that the participants did not apply the comments because they were too broad, inaccurate, difficult to apply, and difficult to understand.

In spite of numerous studies on the effect of AIAT on foreign language learning, few have examined its impact on university students’ academic writing proficiency over an extended period. This study, therefore, investigated the effect of Google Translate (GT) on the writing proficiency of English as a Foreign Language (EFL) university students. It examined fluency, lexical density, accuracy, and syntactic complexity across four versions of students’ writings: the pretest, writing with the aid of GT, the posttest, and a retention test conducted two to four months after the treatment. The findings indicated that syntactic complexity, accuracy, and fluency improved when students used GT for writing; however, these measures showed a significant decline in the posttest and retention test without GT. This decrease was more pronounced in lexical density and less so in syntactic complexity. Despite this decline, all factors assessed in the retention test still showed improvement compared to the pretest, indicating the positive effect of GT on students’ foreign language writing performance.

In this study an attempt has been made to investigate if vocabulary tests may predict L2 learners’ writing score in IELTS. 131 postgraduate international students studying in Universiti Teknologi Malaysia (UTM) who obtained the minimum score (i.e. 6) in IELTS as a requirement for enrollment were participants of this study. Two vocabulary size tests (PVLT & Lex30) together with a test of vocabulary depth (WAT) were given to participants. Then, participants’ scores from three tests were correlated with their score in the writing section of IELTS. The results of the study revealed significant correlation coefficients between productive vocabulary size and academic writing skills. Moreover, the findings of Multiple Regression indicated that productive vocabulary levels test (PVLT) could be possibly a good predictor for IELTS academic writing. Further, scatter plots revealed a possible threshold of 2000 words for a L2 learner to get 7 in IELTS academic writing. The findings drawn from the study enable teachers to predict their learners’ competency in writing skill by through various vocabulary tests.

This research attempted to examine the underlying construct of writing self-regulation inventory extrapolated to Iranian EFL university context. A total sample of 116 sophomore EFL university learners attending essay writing course participated in this study. They were asked to do an in-class writing task assignment and immediately fill in an inventory. Pearson product-moment correlation and confirmatory factor analysis procedure using principal component analysis were applied to ascertain the relationships among the variables and construct validity of the instrument, respectively. The inventory yielded a strong internal consistency as to make the results of the present study reliable and to prove replication studies justifiable. The highest overall means and internal consistency reliability estimates were recorded both for goal subscale. However, achievement on task was negatively associated with cognitive, meta-cognitive, motivational, and behavioral dimensions of writing self-regulation. The results of factor analysis disclosed that goal, efficacy, meta-cognitive, cognitive, motivational, and behavioral variables are loaded on a single component; that is, they measured the same underlying theoretical construct. On the whole, the findings imply that the construct of writing self-regulation is consistent in EFL university context.

Transfer of learning from English course to other contexts is one of the most fundamental objectives of English for Special Academic Purposes (ESAP) instruction. Providing opportunities to transfer the acquired knowledge from the ESAP writing course to writing tasks of specialized disciplines as well as analyzing students’ perceptions of transfer catalysts and barriers might suggest a foundation for future educational planning. This study examines how engineering graduate students who participated in an ESAP course assessed the four constructs of learning transfer inventory that might facilitate or inhibit the transfer of learning in discipline-specific academic writing programs. Sixty engineering graduate students participated in this study. During the ESAP course, collaboratively designed discipline-specific writing tasks were presented and practiced through multimodal input. The variation in participants’ writing skills throughout the semester was recorded and analyzed. The catalysts and the barriers to the learning transfer act were identified by administering the Learning Transfer System Inventory (LTSI). The participants’ evaluations of the treatment they had received was assessed through a focus group interview. Results indicated that the students could obtain significant levels of academic writing skills and finally transfer their acquired instruction to authentic discipline practices. Furthermore, data analysis of the LTSI demonstrated that transfer of writing outcomes will be increased if more consideration of work-related factors is considered in higher education. All participants reported personal capacity as the main impediment induced by the work-related construct. Students’ positive attitudes toward three ability factors and all motivational factors suggested that an auspicious foundation for future educational planning exists if disciplinary and institutional considerations are embraced.

AI-enabled solutions and systems, including AI chatbots, are revolutionizing teaching and learning processes in language education programs and language classrooms, profoundly changing traditional methodology and pedagogy. This study aimed to compare the effectiveness of implementing and utilizing three AI chatbots, Claude, Chat GPT, and Google Gemini, with traditional instruction in an academic writing course at Ilam University, Iran. To this end, of 39 TEFL MA students enrolling in an academic writing course, four homogeneous classes of nine students were organized. In three classes, the three AI chatbots were used for providing feedback, correction, revision guidance, and tips for outlining, moves, and paragraph organization. A class with traditional teacher-centered instruction was also organized. At the end of the course, students in all four classes were tasked with writing two essays. A team of three raters was asked to rate the essays based on a common rubric. The rating results showed that students who received AI-enhanced instruction through the use of Claude achieved the highest scores, followed by those who received instruction with ChatGPT and Google Gemini, respectively. The participants in all three AI-enabled classes outperformed the participants in the class with traditional instruction. The rating results confirmed the effectiveness of AI-enhanced writing instruction, highlighting Claude as the most effective AI tool, and ChatGPT and Google Gemini in the second and third ranks, respectively. Based on the course outcomes, AI-enabled writing instruction is more effective than traditional instruction.