Syntactic and lexical features of adolescent L2 students’ academic writing

Maamuujav, Undarmaa; Olson, Carol Booth; Chung, Huy Q.

doi:10.1016/j.jslw.2021.100822

Cited by 40 publications

(24 citation statements)

References 37 publications

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“…In certain countries, such as the United States, academic writing is taught from sixth to twelfth grade to improve students' high levels of analytical writing skills and academic language fluency. As a result, they have set a high goal for children to produce precise, logical, and well-developed text from an early age (Maamuujav, Olson, & Chung, 2021). Similar policies exist in Indonesia; however, academic writing is only much practised by students in higher education (HE).…”

Section: Introductionmentioning

confidence: 99%

Post-Graduate Students’ Perceptions of Quillbot Utilization in English Academic Writing Class

Kurniati¹,

Fithriani²

2022

JELTL

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<em>Academic writing is currently a worldwide concern. A plethora of studies on academic writing difficulties in higher education has been conducted. With the advancement of technology, the challenges of academic writing can be alleviated by using Quillbot, an artificial intelligence (AI)-powered digital tool. However, research on using Quillbot in post-graduate academic writing classrooms is still limited, and little is known about how students perceive it. This study investigates how post-graduate students view Quillbot as a digital tool for English academic writing. This study employed a qualitative case study design by involving 20 post-graduate students majoring in English education who were already familiar with Quillbot to participate. In investigating the participants' perspectives, a questionnaire and semi-structured interview were used as the instruments for data collection. The findings reveal that the post-graduate students in this study responded positively to using Quillbot to assist them in improving the quality of their writing. Furthermore, the use of Quillbot was found to have three benefits: enhancing students' positive attitudes toward writing, providing a variety of user-friendly writing features, and aiding students' language development. This study implies that AI-powered technology like Quillbot in writing, particularly in academic writing, has a significant role in creating high-quality writing for students.</em>

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Section: Introductionmentioning

confidence: 99%

Post-Graduate Students’ Perceptions of Quillbot Utilization in English Academic Writing Class

Kurniati¹,

Fithriani²

2022

JELTL

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“…From the findings, AWL word forms do not cover all the reading materials in the field of sport tourism. In line with Maamuujav, Olson and Chung (2021), the difference between academic vocabularies and high frequency words is that the former is less frequent in informal conversations and speeches. Given their high frequency in written texts, learning these words repeatedly is vital for language learners or beginner learners of English for specific purposes (ESP) (Nation, 2017).…”

Section: Resultsmentioning

confidence: 84%

“…The analysis of multiple hierarchical regression show that the writing ability was shaped by the academic vocabulary usage. Moreover, Maamuujav, Olson, and Chung (2021) also revealed that sentence boundary, the low use of syntactic variety, the underuse of complexed subordinate clauses to link ideas, and the lack of complexity or sophisticated uses in vocabulary are commonly found in L2 students' writing. The regression analyses posited that the use of syntactically advanced lexical level prejudged the perceived high writing quality.…”

Section: Introductionmentioning

confidence: 98%

Academic Vocabulary in Sport Tourism News: A Corpus-Based Study

Yotimart

2021

JLLS

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The objectives of the research is to study and analyze Academic Word List (AWL), which appeared in the corpus of sport tourism news wordlists collected from international online news. The framework of this study was based on Coxhead's (2000) 570-Academic Word List (AWL). A corpus of 112,623 running words taken from the international online news, against the AWL of 570 words by using the Concordance Program, AntWordProfiler, for comparing the vocabulary load of the corpus of sport tourism news and AWL. The data were analyzed and displayed as percentages and frequencies. The results revealed that words in the AWL covered 7.38 % of the total words in the corpus. Findings also revealed that some of the words found in the present study were not found in Coxhead's AWL. This suggests that vocabulary needs of students in sport or tourism are characteristically different from those of students in other disciplines. The findings indicate the usefulness of AWL for sport learners and suggest the need to produce field-specific word lists embracing all frequent academic vocabulary items necessary for the expression of the rhetoric of the specific discipline. The Sport Tourism News wordlists can guide instructors to prepare the sport or tourism students in setting their vocabulary learning goals.

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“…While initially implemented for the analysis of larger text segments, the software has been applied in the analysis of brief language samples in clinical populations previously (Gupta et al, 2018). Though there are no requirements for minimum number of words for applying Coh-Metrix to study texts, analyses of readability and cohesion have been generally reported for written materials with 100 words or above (Latifi & Grier, 2021;Maamuujav et al, 2021). The incidence scores are based on frequency of occurrence of different parts of speech (e.g.…”

Section: Coh-metrix 30mentioning

confidence: 99%

More than Words: Speech production in first episode psychosis predicts later social and vocational functioning.

Mackinley¹,

Limongi²,

Silva³

et al. 2023

Preprint

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Background: Several disturbances in speech are present in psychosis; however, the relationship between these disturbances during the first episode of psychosis (FEP) and later vocational functioning is unclear. Demonstrating this relationship is critical if we expect speech and communication deficits to emerge as targets for early intervention.Method: we analyzed three one-minute speech samples using automated speech analysis and Bayes networks in an antipsychotic-naive sample of 39 FEP patients and followed them longitudinally to determine their vocational status (engaged or not engaged in employment education or training - EET vs. NEET) after 6-12 months of treatment. Five linguistic variables with prior evidence of clinical relevance (total and acausal connectives use, pronoun use, analytic thinking, and total words uttered in a limited period) were included in a Bayes network along with longitudinal NEET status and Social and Occupational Functioning Assessment Scale (SOFAS) scores to determine dependencies among our variables. We also included clinical (Positive and Negative Syndrome Scale 8-item version (PANSS-8)), social (parental In review socioeconomic status,) and cognitive features (processing speed) at the time of presentation as covariates.Results: The Bayes network revealed that only total words spoken were directly associated with NEET and had an indirect association with SOFAS, with a second set of dependencies emerging among the remaining linguistic variables. The primary (speech-only) model outperformedmodels including parental socioeconomic status, processing speed or both as latent variables.Conclusion: impoverished speech, even at subclinical levels, may hold prognostic value and warrant clinical consideration when treating first-episode psychosis.

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Syntactic and lexical features of adolescent L2 students’ academic writing

Cited by 40 publications

References 37 publications

Post-Graduate Students’ Perceptions of Quillbot Utilization in English Academic Writing Class

Post-Graduate Students’ Perceptions of Quillbot Utilization in English Academic Writing Class

Academic Vocabulary in Sport Tourism News: A Corpus-Based Study

More than Words: Speech production in first episode psychosis predicts later social and vocational functioning.

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