Investigating the Impact of Rater Training on Rater Errors in the Process of Assessing Writing Skill by İsmail Karakaya, Mehmet Şata

Get full text

Show Me All Writing Errors: A Two-Phased Grammatical Error Corrector for Romanian by Mihai-Cristian Tudose, Stefan Ruseti, Mihai Dascalu

“…Nowadays, grammatical error correction (GEC) has a significant role in writing since even native speakers often face challenges with proficient writing. …”
Get full text

Academic Writing: A Discipline or Disciplines? by I. M. Zashikhina

Get full text

ANALISIS KESALAHAN EJAAN MAKALAH MAHASISWA ILMU KOMPUTER UNWIRA KUPANG by Giovanni Battista Agung

“…The results indicate that spelling errors remain a recurring and dominant issue in students’ academic writing. …”
Get full text

Exploring sentence-level revision capabilities of large language models in English for academic purposes writing assistance by Zhendong Du, Kenji Hashimoto

“…Recently, Large Language Models (LLMs) have been extensively utilized in EAP to assist with writing tasks. …”
Get full text

Lexical Errors in English Language Writing – The Case of selected Senior High School students in the Ashanti Region of Ghana by Dorah Mensah, Charles Owu-Ewie, Levina Nyameye Abunya, Albert Abban, Halimatu Sadia Jibril

“…The sample was selected through the systematic random sampling strategy. A model based on Corder’s Error Analysis theory was used to analyse the data. …”
Get full text

Investigating EFL children’s task motivation concerning the use of models as written corrective feedback by María Luquin, María del Pilar García Mayo

“…This study investigated how the inclusion of model texts as a feedback technique affected students’ task motivation and engagement in writing tasks. …”
Get full text

Physics-informed and data-driven thermal modeling and temperature field prediction for thermal field-assisted direct ink writing with PDMS by Xinhua Yao, Yuhan Jiang, Lixin Tian, Xiang Li, Yong He

Get full text

Reducing Quotation Errors in Scientific Manuscripts: A Novel Approach from the Global Andrology Forum by Asli Metin Mahmutoglu, Ashok Agarwal, Bahadir Sahin, Tomer-Avidor Reiss, Pallav Sengupta, Germar-Michael Pinggera, Hiva Alipour, Rossella Cannarella, Christine Wyns, Mohamed Arafa, Aldo E. Calogero, Taymour Mostafa, Eric Chung, Ala’a Farkouh, Ahmad Motawi, Amarnath Rambhatla, Ayad Palani, Giovanni M. Colpi, Murat Gül, Selahittin Çayan, Israel Maldonado Rosas, Taha Abo-Almagd Abdel-Meguid Hamoda, Rupin Shah

OrthoKnow-SP: A Large-Scale Dataset on Orthographic Knowledge and Spelling Decisions in Spanish Adults by Jon Andoni Duñabeitia

Get full text

Assessment of expected reliability of applied software for computer-based information systems by S. M. Borovikov, V. O. Kaziuchyts, V. V. Khoroshko, S. S. Dick, K. I. Klinov

Get full text

Software implementation of the system for learning to write Chinese characters by N. V. Gubanov

“…The purpose of the work is devoted to the development and description of the mathematical model of the Chinese character recognition system, taking into account all the features of writing the Chinese language. …”
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

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

Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

“…Generative AI in Medical Writing Generative AI tools or “chatbots” combine the adaptive learning capabilities of deep learning algorithms and natural language processing, resulting in a virtual assistant or aide that is capable of answering queries, following commands, and improving its responses according to the vast data available on the Internet in addition to user responses.3 This has allowed the accomplishment of various complex tasks within seconds that would otherwise require hours of trial and error. …”
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

“…These prompts are then fed into a fine-tuned Vicuna language model, which generates detailed and precise medical reports. …”
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

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

ChatGPT in ESL Higher Education: Enhancing Writing, Engagement, and Learning Outcomes by Promethi Das Deep, Nara Martirosyan, Nitu Ghosh, Md. Shiblur Rahaman

“…There were, however, concerns about plagiarism, factual errors, and dependency on AI tools. Although ChatGPT and similar models present promising opportunities and benefits in ESL education, there is a need for structured implementation and ethical guidance.…”
Get full text