A Comparative Analysis of Syntactic Complexity in Applied Linguistics Abstracts Written by Chinese Novice Writers and Native English Advanced Writers

The rhetorical structure of abstracts has been a widely discussed topic, as it can greatly enhance the abstract writing skills of second-language writers. This study aims to provide guidance on the syntactic features that L2 learners can employ, as well as suggest which features they should focus on in English academic writing. To achieve this, all samples were analyzed for rhetorical moves using Hyland’s five-rhetorical move model. Additionally, all sentences were evaluated for syntactic complexity, considering measures such as global, clausal and phrasal complexity. The findings reveal that expert writers exhibit a more balanced use of syntactic complexity across moves, effectively fulfilling the rhetorical objectives of abstracts. On the other hand, MA students tend to rely excessively on embedded structures and dependent clauses in an attempt to increase complexity. The implications of these findings for academic writing research, pedagogy, and assessment are thoroughly discussed.

A Study on the Effects of Different Interaction Combinations and Language Levels on Continuous Writing in Online Environments

This study was conducted with non-English sophomore students,aiming to explore the effects of different interaction combinations and language levels on continuous writing in an online environment,and compare the differences in lexical alignments and composition quality of learners with different interaction combinations and language levels in the same continuous writing task through experiments.The results show that the mean values of the word-phrase alignment of the paired group were higher than those of the individual group in different interaction combinations,and the two groups showed significant differences;in terms of composition quality,the individual group was better than the paired group,but there was no significant difference between the two groups in terms of task continuation.Secondly,the word-phrase alignment and composition scores of the different language-level groups were higher than those of the same language-level groups,and there was a significant difference between the two groups in terms of word-phrase alignments,but not in terms of composition scores.The results of this study can be useful and informative for second language teachers in future continuous teaching in online environments.

A Study on the Correlation Between LIWC Word Categories and Chinese Composition Writing Performance of Fourth,Fifth,and Sixth Grade Students

This study focuses on the analysis of the Chinese composition writing performance of fourth,fifth,and sixth grade students in 16 selected schools in Longhua District,Shenzhen during the spring semester of 2023.Using LIWC(Linguistic Inquiry and Word Count)as a text analysis tool,the study explores the impact of LIWC categories on writing performance which is scaled by score.The results show that the simple LIWC word categories have a significant positive influence on the composition scores of lower-grade students;while complex LIWC word categories have a significant negative influence on the composition scores of lower-grade students but a significant positive influence on the composition scores of higher-grade students.Process word categories have a positive influence on the composition scores of all three grades,but the impact of complex process word categories increases as the grade level rises.

Exploring Pedagogical Ideologies and Strategies for College English Writing Instruction from a Generative Artificial Intelligence Perspective

This study,drawing on the commonalities between generative artificial intelligence and foreign language writing instruction,outlines the core ideology of digital humanities-based college English writing instruction,including auxiliary use of generative artificial intelligence tools,primary focus on humanistic education,and the re-production of knowledge,aiming to foster students’critical thinking,collaborative skills,and creativity.Building on this foundation,the study delves into generative artificial intelligence tools applicable to different stages of process-genre writing and their strategic applications.The use of generative artificial intelligence tools is beneficial for students to present,discuss,and share writing content,encouraging them to enhance their writing,collaboration,critical thinking,and creative abilities through deep interaction with model essays and creative discourses.

基于产出导向“促成”环节的英语写作微课程设计——以How to write a business memo为例

文章概述了产出导向法(production-oriented approach,POA)的基本理论框架以及其中“促成”环节的流程,探讨了基于POA的大学英语写作课程的产出任务及教学流程,并从写作微课程实例出发,分析了“促成”的教学环节与教学安排,从内容促成、语言促成两方面探讨了基于促成环节的英语写作微课设计。

人工智能视域下应用型院校英语写作多元反馈模式构建——基于 iWrite2.0写作自动评阅系统的实证研究

写作反馈是写作教学中的重要环节,随着人工智能技术的发展,机器评阅的方式已被广泛应用到英语写作教学当中,极大地提高了教师反馈的效率,但过程中也出现了一定的问题。对应用型院校目前的大学英语写作现状进行了调研及访谈,设计了多元英语写作反馈模型,即将机器评阅、同伴反馈以及教师反馈结合到一起对学生的英语写作进行反馈,结果显示:多元英语写作反馈模式比机器评阅模式更能提高学生的写作水平,但幅度并不是很大;班级容量大、学生投入少且缺乏思辨能力等是造成其英语写作水平较弱的主要原因。

“iWrite”平台与大学英语写作教学的融通路径探索

iWrite作为一款集英语写作、预约辅导、批阅总结于一体的在线教育平台,具有整体评价作文内容、精准识别写作问题、辅助学生自主训练、及时反馈修正教学要点等优势,打破了时空限制。文章通过“基于学校现实情况,预先设置写作中心、学生完成在线写作,基于机评修改完善、根据机评反馈情况,合理进行预约辅导、结合学生预约情况,有效进行线上备课、做好个性辅导工作,实施专题统一辅导、师生合作辅导反馈,加强辅导效果”六方面的策略,促进iWrite平台与英语写作教学的深度融合,旨在稳步提升学生的写作水平。

To Write Self and World with Fun——Culture Mode in L2 Writing

The English writing is a fundamental and critical skill for English learners who they perform disatisfactorily in both classrooms and national writing tests. Culture Mode is hereby proposed The mode proposed is consisted of two parts: the compilation of reading materials and the reform of teaching process. An action research is conducted and interview is held to explore the efficacy of it to stimulate the students' interests in writing by reading crossculturally, to develop their writing skills by recording their daily life or their observation of the society, to cultivate their critical thinking by writing responses after each session of practice.

Class Central慕课课程How to Write an Essay教学设计分析

调研了美国Class Central网站发布的“2023年250门全球最受欢迎在线课程榜”19门英语写作类MOOC课程。How to Write an Essay被列为250门全球最受欢迎MOOC课程之一,源于其优质的教学设计:世界顶尖大学及其丰富的在线课程经验、优秀师资,教学目标注重培养学习者技能、终身学习理念以及抛锚式教学模式,这对于在线课程建设和教学具有借鉴意义。

ChatGPT as an Educational Tool: Opportunities, Challenges, and Recommendations for Communication, Business Writing, and Composition Courses

This empirical study examines ChatGPT as an educational and learning tool.It investigates the opportunities and challenges that ChatGPT provides to the students and instructors of communication,business writing,and composition courses.It also strives to provide recommendations.After conducting 30 theory-based and application-based ChatGPT tests,it is found that ChatGPT has the potential of replacing search engines as it provides accurate and reliable input to students.For opportunities,the study found that ChatGPT provides a platform for students to seek answers to theory-based questions and generate ideas for application-based questions.It also provides a platform for instructors to integrate technology in classrooms and conduct workshops to discuss and evaluate generated responses.For challenges,the study found that ChatGPT,if unethically used by students,may lead to human unintelligence and unlearning.This may also present a challenge to instructors as the use of ChatGPT negatively affects their ability to differentiate between meticulous and automation-dependent students,on the one hand,and measure the achievement of learning outcomes,on the other hand.Based on the outcome of the analysis,this study recommends communication,business writing,and composition instructors to(1)refrain from making theory-based questions as take-home assessments,(2)provide communication and business writing students with detailed case-based and scenario-based assessment tasks that call for personalized answers utilizing critical,creative,and imaginative thinking incorporating lectures and textbook material,(3)enforce submitting all take-home assessments on plagiarism detection software,especially for composition courses,and(4)integrate ChatGPT generated responses in classes as examples to be discussed in workshops.Remarkably,this study found that ChatGPT skillfully paraphrases regenerated responses in a way that is not detected by similarity detection software.To maintain their effectiveness,similarity detection software providers need to upgrade their software to avoid such incidents from slipping unnoticed.

Constructing Writer Identity in Developing Second Language Writer's Academic Writing

Writer identity in academic writing has long been ignored by developing L2 writers.Moreover,research has much focused on the reader in shaping writing,and treated the role of the writer as unproblematic.In this essay,the construction of writer identity in developing writers’academic writing practice will be explored through a review of some relevant literature research and gain insights for the development of writer apprentices and writing instruction.

Periodic transparent nanowires in ITO film fabricated via femtosecond laser direct writing

This paper reports the fabrication of regular large-area laser-induced periodic surface structures(LIPSSs)in indium tin oxide(ITO)films via femtosecond laser direct writing focused by a cylindrical lens.The regular LIPSSs exhibited good properties as nanowires,with a resistivity almost equal to that of the initial ITO film.By changing the laser fluence,the nanowire resistances could be tuned from 15 to 73 kΩ/mm with a consistency of±10%.Furthermore,the average transmittance of the ITO films with regular LIPSSs in the range of 1200-2000 nm was improved from 21%to 60%.The regular LIPSS is promising for transparent electrodes of nano-optoelectronic devices-particularly in the near-infrared band.

A Corpus-based Study on Writer/reader Visibility in English Writing by Chinese EFL Learners

Writer/reader(W/R) visibility is regarded as an important indicator of personal involvement. Previous studies concluded that EFL learners tend to contains more personal involvement than native speakers in their writing, making it resemble spoken language as a result. Therefore, this paper examines the degree of W/R visibility in English writing by university-level Chinese learners to verify the applicability of the previous findings on Chinese learners. Based on the data collected in the corpora CLEC,WECCL and LOCNESS, the results show that Chinese EFL learners have the tendency to employ more features of W/R visibility than native speakers, for example the high use of first or second person reference and words that represent mental process. Besides, the paper also reveals little distinction on W/R visibility between English and non-English majors, suggesting the inefficiency of the writing ability of today's English majors.

iWrite平台在大学英语写作教学中的应用探究

为有效促进大学英语学生写作水平的提升,以iWrite平台为教学辅助手段,在大学英语写作教学中展开应用探索。研究认为,当前大学生英语写作存在词汇、句法能力不足与语义表达不准、写作切题度和连贯性较差以及教学反馈滞后等问题。iWrite平台作为一款集英语写作、批阅、总结于一体的在线教育平台,具有客观全面评价写作文章、精准分析学生写作问题和及时反馈修正教学要点的作用。为此提出,深化iWrite平台在教学中的应用、强化iWrite写作平台对教学改革的指导和提高iWrite平台在修正反馈中的作用等对策。

A Revision Model in Writing for Novice Writers with a Focus on Audience and Feedback

Revision is a complex,yet important phase in writing to improve the quality of a text.Some revision models are created to explain its components and the ways these components work.However,analysis of available models shows that they are proposed mainly for expert writers,who can complete the complex revision process individually,without the need of support or feedback.Most of the available revision models also do not include audience as a component.Therefore,the purpose of this paper is to introduce an alternative revision model for novice writers at or higher than highschool level with a focus on audience and feedback.First,the definition of revision is made,which is followed by summaries of the importance of audience and feedback in writing.Second,available revision models in literature that serves as the basis of the alternative model are reviewed.Finally,the alternative revision model is introduced with its components and the way these components work is explained.The revision model presented in this paper will contribute to literature on writing by filling the gap in revision models by proposing a model for novice writers and highlighting the importance of audience and feedback.

Direct ink writing to fabricate porous acetabular cups from titanium alloy

Acetabular cups,which are among themost important implants in total hip arthroplasty,are usually made from titanium alloys with high porosity and adequate mechanical properties.The current three-dimensional(3D)printing approaches to fabricate customized acetabular cups have some inherent disadvantages such as high cost and energy consumption,residual thermal stress,and relatively low efficiency.Thus,in this work,a direct ink writing method was developed to print a cup structure at room temperature,followed by multi-step heat treatment to form microscale porous structure within the acetabular cup.Our method is facilitated by the development of a self-supporting titanium-6 aluminum-4 vanadium(Ti64)ink that is composed of Ti64 particles,bentonite yield-stress additive,ultraviolet curable polymer,and photo-initiator.The effects of Ti64 and bentonite concentrations on the rheological properties and printability of inks were systematically investigated.Moreover,the printing conditions,geometrical limitations,and maximum curing depth were explored.Finally,some complex 3D structures,including lattices with different gap distances,honeycomb with a well-defined shape,and an acetabular cup with uniformly distributed micropores,were successfully printed/fabricated to validate the effectiveness of the proposed method.

Laser direct writing of Ga_(2)O_(3)/liquid metal-based flexible humidity sensors

Flexible and wearable humidity sensors play a vital role in daily point-of-care diagnosis and noncontact human-machine interactions.However,achieving a facile and high-speed fabrication approach to realizing flexible humidity sensors remains a challenge.In this work,a wearable capacitive-type Ga_(2)O_(3)/liquid metal-based humidity sensor is demonstrated by a one-step laser direct writing technique.Owing to the photothermal effect of laser,the Ga_(2)O_(3)-wrapped liquid metal particles can be selectively sintered and converted from insulative to conductive traces with a resistivity of 0.19Ω·cm,while the untreated regions serve as active sensing layers in response to moisture changes.Under 95%relative humidity,the humidity sensor displays a highly stable performance along with rapid response and recover time.Utilizing these superior properties,the Ga_(2)O_(3)/liquid metal-based humidity sensor is able to monitor human respiration rate,as well as skin moisture of the palm under different physiological states for healthcare monitoring.

Femtosecond laser direct writing of functional stimulus-responsive structures and applications

Diverse natural organisms possess stimulus-responsive structures to adapt to the surrounding environment.Inspired by nature,researchers have developed various smart stimulus-responsive structures with adjustable properties and functions to address the demands of ever-changing application environments that are becoming more intricate.Among many fabrication methods for stimulus-responsive structures,femtosecond laser direct writing(FsLDW)has received increasing attention because of its high precision,simplicity,true three-dimensional machining ability,and wide applicability to almost all materials.This paper systematically outlines state-of-the-art research on stimulus-responsive structures prepared by FsLDW.Based on the introduction of femtosecond laser-matter interaction and mainstream FsLDW-based manufacturing strategies,different stimulating factors that can trigger structural responses of prepared intelligent structures,such as magnetic field,light,temperature,pH,and humidity,are emphatically summarized.Various applications of functional structures with stimuli-responsive dynamic behaviors fabricated by FsLDW,as well as the present obstacles and forthcoming development opportunities,are discussed.

Recognition of Handwritten Words from Digital Writing Pad Using MMU-SNet

In this paper,Modified Multi-scale Segmentation Network(MMU-SNet)method is proposed for Tamil text recognition.Handwritten texts from digi-tal writing pad notes are used for text recognition.Handwritten words recognition for texts written from digital writing pad through text file conversion are challen-ging due to stylus pressure,writing on glass frictionless surfaces,and being less skilled in short writing,alphabet size,style,carved symbols,and orientation angle variations.Stylus pressure on the pad changes the words in the Tamil language alphabet because the Tamil alphabets have a smaller number of lines,angles,curves,and bends.The small change in dots,curves,and bends in the Tamil alphabet leads to error in recognition and changes the meaning of the words because of wrong alphabet conversion.However,handwritten English word recognition and conversion of text files from a digital writing pad are performed through various algorithms such as Support Vector Machine(SVM),Kohonen Neural Network(KNN),and Convolutional Neural Network(CNN)for offline and online alphabet recognition.The proposed algorithms are compared with above algorithms for Tamil word recognition.The proposed MMU-SNet method has achieved good accuracy in predicting text,about 96.8%compared to other traditional CNN algorithms.