AUTOMATIC SCORING OF KNOWLEDGE GAINED AND SHARED THROUGH DISCUSSION FORUMS: BASED ON THE COMMUNITY OF INQUIRY MODEL by P.A.L. Nadeesha, T.A. Weerasinghe, W.R.N.S Abeyweera

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Can large language models meet the challenge of generating school-level questions? by Subhankar Maity, Aniket Deroy, Sudeshna Sarkar

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SevPredict: Exploring the Potential of Large Language Models in Software Maintenance by Muhammad Ali Arshad, Adnan Riaz, Rubia Fatima, Affan Yasin

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Deep learning based personalized English listening learning path recommendation algorithm by Hua Jiang

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Natural language processing in Alzheimer's disease research: Systematic review of methods, data, and efficacy by Arezo Shakeri, Mina Farmanbar

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Psychometric Evaluation of Large Language Model Embeddings for Personality Trait Prediction by Julina Maharjan, Ruoming Jin, Jianfeng Zhu, Deric Kenne

“… Abstract BackgroundRecent advancements in large language models (LLMs) have generated significant interest in their potential for assessing psychological constructs, particularly personality traits. …”
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The Arabic Language Teacher And The New Advocated Teaching Methods: Perspectives For Innovation. by Assia Benettayeb

“…In addition, nowadays, the information age has replaced the industrial age, giving way to the supremacy of processed information through computers, and mainly through the internet. Therefore, the expansion and progress in the world of technology led to the need for the re-consideration of the status the Arabic language being the language of education has in the Algerian national syllabus. …”
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Computational Linguistics Applications in AI-Based Investment and Cost Structuring Models by Miralieva Dilafruz, Ramatov Jumaniyoz, Azimova Lola, Khusamiddinova Malika, Alimbaeva Shahlo, Omonova Laylo

“…The findings indicate that natural language processing efficiency and machine learning advancements have significant impacts on investment planning accuracy. …”
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AI-Enabled IoT for Food Computing: Challenges, Opportunities, and Future Directions by Zohra Dakhia, Mariateresa Russo, Massimo Merenda

“…This review highlights AI applications, including computer vision for food recognition and quality assessment, Natural Language Processing for recipe analysis, and predictive modeling for dietary recommendations. …”
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Investigating Offensive Language Detection in a Low-Resource Setting with a Robustness Perspective by Israe Abdellaoui, Anass Ibrahimi, Mohamed Amine El Bouni, Asmaa Mourhir, Saad Driouech, Mohamed Aghzal

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Validation of automated paper screening for esophagectomy systematic review using large language models by Rashi Ramchandani, Eddie Guo, Esra Rakab, Jharna Rathod, Jamie Strain, William Klement, Risa Shorr, Erin Williams, Daniel Jones, Sebastien Gilbert

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Machine Translation Performance for Low-Resource Languages: A Systematic Literature Review by Taofik O. Tafa, Siti Zaiton Mohd Hashim, Mohd Shahizan Othman, Hitham Alhussian, Maged Nasser, Said Jadid Abdulkadir, Sharin Hazlin Huspi, Sarafa O. Adeyemo, Yunusa Adamu Bena

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Bridging language gaps: The role of NLP and speech recognition in oral english instruction by Parul Dubey, Pushkar Dubey, Rohit Raja, Sapna Singh Kshatri

“…The Natural Language Processing (NLP) and speech recognition have transformed language learning by providing interactive and real-time feedback, enhancing oral English proficiency. …”
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Language-specific representation of emotion-concept knowledge causally supports emotion inference by Ming Li, Yusheng Su, Hsiu-Yuan Huang, Jiali Cheng, Xin Hu, Xinmiao Zhang, Huadong Wang, Yujia Qin, Xiaozhi Wang, Kristen A. Lindquist, Zhiyuan Liu, Dan Zhang

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Characterization of language abilities and semantic networks in very preterm children at school-age. by Marion Décaillet, Alexander P Christensen, Laureline Besuchet, Cléo Huguenin-Virchaux, Céline J Fischer Fumeaux, Solange Denervaud, Juliane Schneider

“…It has been widely assessed that very preterm children (<32 weeks gestational age) present language and memory impairments compared with full-term children. …”
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Radiology Report Annotation Using Generative Large Language Models: Comparative Analysis by Bayan Altalla’, Ashraf Ahmad, Layla Bitar, Mohammed Al-Bssol, Amal Al Omari, Iyad Sultan

“…Comprehensive evaluation was applied using a variety of metrics, including recall-oriented understudy for gisting evaluation (ROUGE) for n-gram analysis, Instructor Similarity for contextual similarity, and BERTScore for semantic similarity, to assess the performance of these models. The study shows distinct performance differences between GPT-3.5 and GPT-4 across both zero-shot and few-shot learning scenarios. …”
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AI-based nanotoxicity data extraction and prediction of nanotoxicity by Eunyong Ha, Seung Min Ha, Zayakhuu Gerelkhuu, Hyun-Yi Kim, Tae Hyun Yoon

“…Among toxicity assessment methods, computational models for predicting nanotoxicity are emerging as alternatives to traditional in vitro and in vivo assays, which involve high costs and ethical concerns. …”
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Examining validity in computerized dynamic assessment by Zaha Alonazi

“…Due to the scarcity of research on CDA, this paper explores the potentials and the viability of this intervention-based assessment in computer assisted language testing context in light of its conformity with Messick’s unitary view of validity. …”
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Examining validity in computerized dynamic assessment by Alonazi Zaha

“…Due to the scarcity of research on CDA, this paper explores the potentials and the viability of this intervention-based assessment in computer assisted language testing context in light of its conformity with Messick’s unitary view of validity. …”
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Harnessing multimodal approaches for depression detection using large language models and facial expressions by Misha Sadeghi, Robert Richer, Bernhard Egger, Lena Schindler-Gmelch, Lydia Helene Rupp, Farnaz Rahimi, Matthias Berking, Bjoern M. Eskofier

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