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.…”
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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

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

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RELEVANCE AND LINGUISTIC ACCURACY OF THE INFORMATION PROVIDED ON WEBSITES by Neringa Lekandrė, Gemma Navickienė

“…To avoid the most common pitfalls, more effort should be invested in delivering relevant and linguistically accurate information online; automated translation tools should not be used if there are no human resources available to check for errors; spelling and grammar checking applications and writing assistants should be applied.…”
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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. …”
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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. …”
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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. …”
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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.…”
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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. …”
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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). …”
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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. …”
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Morphosyntactic Study Of Urdu Esl Learners: A Derivation By Interface by Asad Ali, Aqsa Younis, Qaisar Jabbar, Sidra Niazi

“…For the analysis of morphology/syntax interface, the data is collected from 15 students of Grammar Model high school through essay writing. On these domains the data is analyzed ; inflectional morphology, arguments, loan words and phrasal verbs. …”
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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. …”
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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. …”
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Hybrid Dynamic Simulation Method of Power System Based on Impulse Load Injection by Yanjun ZHANG, Jiaqi LIU, Kai GAO, Jian ZHANG, Zaiyan ZHOU, He JIANG

“…Based on the load model provided by the commercial software PSASP and the inherent impulse disturbance module, the proposed method is simple and easy to implement, and avoids the use of UPI/UD to write the interface program, thus having high practicality. …”
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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. …”
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Grading explanations of problem-solving process and generating feedback using large language models at human-level accuracy by Zhongzhou Chen, Tong Wan

“…Students were instructed to write down verbal explanations of their reasoning process when solving one conceptual and two numerical calculation problems on two exams. …”
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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. …”
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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. …”
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