Near-Field Direct Writing Based on Piezoelectric Micromotion for the Programmable Manufacturing of Serpentine Structures by Xun Chen, Xuanzhi Zhang, Jianfeng Sun, Rongguang Zhang, Xuanyang Liang, Jiecai Long, Jingsong Yao, Xin Chen, Han Wang, Yu Zhang, Jiewu Leng, Renquan Lu

“…A predictive model for the geometrical extensibility of serpentine structures was derived from Legendre’s incomplete elliptic integral of the second kind and incorporated an error correction factor, which significantly reduced the calculation errors in predicting geometric elongation, by 95.85%. …”
Get full text

Students’ Perception of Automated Written Corrective Feedback Provided by Grammarly in Enhancing Writing Skills by Hanif Muti Aruna, Teguh Sarosa

“…This research used purposive sampling for the research participants and interactive model analysis to analyze the data. The findings reveal that students generally find Grammarly a valuable and accessible tool that enhances their writing by providing immediate corrections for grammatical errors. …”
Get full text

Using Synchronous Online Peer Response Groups in EFL Writing: Revision-Related Discourse by Mei-Ya Liang

“…An environmental analysis of students’ online discourse in two writing tasks showed that meaning negotiation, error correction, and technical actions seldom occurred and that social talk, task management, and content discussion predominated the chat. …”
Get full text

Teachers’ and Students’ Reflection on the Problem of Writing Narrative Text in a Remote Area (Flores Island) by Darmawan Labira

“…The finding indicated grammatical aspect as the biggest student’s problem (25 errors), the mechanic aspect of writing revealed 24 errors, 23 errors in vocabulary aspect, writing content revealed 20 errors, writing organization revealed 20 errors. …”
Get full text

Exploring AI to automate EFL corrective written feedback in the first language by Rob Hirschel, Kayoko Horai

“…The classroom intervention on which this study is based had four main steps: a) individual or collective brainstorming and vocabulary search (5 minutes), b) subsequent free-writing activity in an online browser (10 minutes), c) reading the ChatGPT feedback in L1 Japanese (5 minutes), d) completing paper error logs to process feedback (5 minutes). …”
Get full text

Development of grammatical and lexical skills in argumentative EFL writing at upper secondary level in Germany and Switzerland by Flavio Lötscher, Ruth Trüb, Julian Lohmann, Jens Möller, Thorben Jansen, Stefan Daniel Keller

“…The study confirms the importance of vocabulary for advanced L2 writers, which seems to pose a larger challenge than grammar and warrants special attention in EFL writing at upper secondary school. Implications for teacher education and classroom practice such as the emulation of model texts are discussed, with a focus on lexical chunks typical of argumentative writing.…”
Get full text

The Relative Role of Semantic and Sublexical Processes in Reading, Writing and Repetition: Evidence from a Follow-Up Study by Flavia Mattioli

Get full text

How well can GenAI (GPT-4) provide written corrective feedback on English-language learners’ writing? by Austin Pack, K. James Hartshorn, Juan Escalante, Natasha Gillette

“…Both teachers and GPT-4 used error marking codes correctly and incorrectly, as well as missed errors in student writing all together. …”
Get full text

The effect of language typology on the students’ writing skills: A case of the undergraduate students of Arabic language and literature at Arak University by Tahereh Khanabadi, Isa Motaghizadeh, Hayat Ameri, hadi nazarimonazam

“…This study aims to evaluate the effect of a writing model on the writing skills of the undergraduate students majoring in Arabic language and literature. …”
Get full text

Developing Scientific Writing Skills Instrument Using An Inquiry-Based Approach to Local Wisdom Dilemma Stories for Senior High School Students by Erwin Salpa Riansi, Yuliarty Yuliarty, Ahmad Sulthon, Suhaele Sohnuy

“…Confirmatory factor analysis revealed the Root Mean Square Error of Approximation value to be 0.043 < 0.08 and the Goodness of Fit Index to be 0.98 > 0, 90 or the declared model by the data obtained in the field and can be used in a wide range of measurements. …”
Get full text

KEMAMPUAN MENULIS DESKRIPSI (STUDI KASUS DI PONDOK PESANTREN NUURUSSHIDDIIQ, CIREBON) by Ririen Wardiani, Indrya Mulyaningsih

“…Data analysis use traditional two stages, ie, classifying and interactive analysis model of Miles. The results are: 1) the students do not understand the type or form of composition description; 2) there are errors on: (a) the use of capital letters, (b) the use of letters or italics, (c) the use of punctuation comma, (d) condensation said, (e) writing 'di' as preposition and 'di' as affix, and (f) writing the correct word in accordance EYD; 3) students do not understand the process of forming a word; 4) students have not been able to write a sentence properly and effectively; and 5) students do not understand and pay attention to the meaning of sentences.…”
Get full text

Impact of Developer Queries on the Effectiveness of Conversational Large Language Models in Programming by Viktor Taneski, Sašo Karakatič, Patrik Rek, Gregor Jošt

“…To this end, participants were instructed to rely exclusively on LLMs for writing code, based on a given set of specifications, and their queries were categorized into seven types: Error Fixing (EF), Feature Implementation (FI), Code Optimization (CO), Code Understanding (CU), Best Practices (BP), Documentation (DOC), and Concept Clarification (CC). …”
Get full text

Integrating large language models in biostatistical workflows for clinical and translational research by Steven C. Grambow, Manisha Desai, Kevin P. Weinfurt, Christopher J. Lindsell, Michael J. Pencina, Lacey Rende, Gina-Maria Pomann

“…LLMs improved productivity in coding, writing, and literature review; however, 29 of 41 respondents (70.7%) reported significant errors, including incorrect code, statistical misinterpretations, and hallucinated functions. …”
Get full text

Generating Parathyroid Reports Using YOLO-Based Large Language Models by Chuan-Yu Chang, Abida Khanum, Chiao-Yin Sun, Ying-Ting Chen, Yu-Chen Tsai, Chih-Chin Hsu

“…Combining image-based diagnostic insights with advanced natural language processing minimizes errors caused by human factors such as inexperience or fatigue, offering robust support for radiologists. …”
Get full text

Time series forecasting of infant mortality rate in India using Bayesian ARIMA models by Anuj Singh, Tripti Tripathi, Rakesh Ranjan, Abhay K. Tiwari

“…Finally, a numerical illustration has been provided for the annual IMR growth rate data of India from 1950-2023. Among the competing models, ARIMA(5,1,0) is identified as the best-fitting model with minimum AIC, BIC, mean squared error (MSE) and some other error metrics. …”
Get full text

A Critique and Review on the Book Islamic Management (Models and Obstacles to its Realization in Society and Organizations) by Gholamreza Godarzi, Mansooreh Moeini Korbekandi

“…This work suffers from a lack of logical order and coherence of content, content inaccuracy, content defects and errors. The technical quality of the work is good and the general rules of writing have been observed. …”
Get full text

Beyond N-Grams: Enhancing String Kernels With Transformer-Guided Semantic Insights by Nazar Zaki, Reem Alderei, Mahra Alketbi, Alia Alkaabi, Fatima Alneyadi, Nadeen Zaki

“…The rapid advancements in large language models (LLMs) have led to the generation of sophisticated AI-produced texts, posing significant challenges in distinguishing machine-generated content from authentic human writing. …”
Get full text

MENTAL MODEL OF PROSPECTIVE CHEMISTRY TEACHER ON EQUILIBRIUM CONSTANT AND DEGREE OF DISSOCIATION by Anggra Prasetya Cahya, Antuni Wiyarsi, Anti Kolonial Prodjosantoso

“…The results show that the mental model of students as prospective chemistry teachers on the concept of the equilibrium constant is divided into six models that are classified as experiencing misconceptions: the lack of understanding about heterogeneous equilibrium, error writing in Kp equation, misunderstanding of the value of Kc depends on the rank of the reaction coefficient under the same reaction conditions, the error of determining the unit of equilibrium constant, the error of calculating Δn, and the lack of understanding regarding to the reaction coefficient of an unwritten number of substances. …”
Get full text

Grading explanations of problem-solving process and generating feedback using large language models at human-level accuracy by Zhongzhou Chen, Tong Wan

“…Two methods are essential for achieving this level of accuracy: (i) Adding explanation language to each rubric item that targets the errors of initial machine grading. (ii) Running the grading process 5 times and taking the most frequent outcome. …”
Get full text

Combining memory transfer language with constructivism and reversibility to improve comprehension in introductory programming by Leonard J. Mselle

“…Results from the experimental test that was based on reversibility as applied by Teague and Lister (Teague D, Lister, R. 2014 Programming Reading, Writing and Reversing, ITICSE'14, Uppsala, Sweden. 10.1145/2591708.2591712) indicated that combining MTL with constructivism and reversibility was useful in assisting novices to construct viable mental models and avoid fundamental errors. …”
Get full text