Fostering creativity, advanced technology, and personal growth: The impact of a magic-themed learning experience in primary education by Elena Vercher Ribis

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Malaysian non-Arabic speaking learners' readiness in a virtual second language learning environment by Noorafini Kassim, Muhammad Sabri Sahrir, Tunku Badariah Tunku Ahmad

“…It underscores the need for ongoing efforts to improve virtual language learning environments to serve students’ needs better.…”
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A Comparative Study of Sentiment Analysis on Customer Reviews Using Machine Learning and Deep Learning by Logan Ashbaugh, Yan Zhang

“…Sentiment analysis is a key technique in natural language processing that enables computers to understand human emotions expressed in text. …”
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Large Language Models Outperform Traditional Natural Language Processing Methods in Extracting Patient-Reported Outcomes in Inflammatory Bowel Disease by Perseus V. Patel, Conner Davis, Amariel Ralbovsky, Daniel Tinoco, Christopher Y.K. Williams, Shadera Slatter, Behzad Naderalvojoud, Michael J. Rosen, Tina Hernandez-Boussard, Vivek Rudrapatna

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Improving drug-drug interaction prediction via in-context learning and judging with large language models by He Qi, He Qi, Xiaoqiang Li, Chengcheng Zhang, Tianyi Zhao, Tianyi Zhao

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Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data by Paul Fergus, Carl Chalmers, Naomi Matthews, Stuart Nixon, André Burger, Oliver Hartley, Chris Sutherland, Xavier Lambin, Steven Longmore, Serge Wich

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German Language Teachers and Dyslexic Students by Danuta Grzesiak-Witek, Urszula Niekra, Paweł Witek

“…Compilation of practical tips with guidelines for the assessment of dyslexic pupils, e.g., the use of descriptive assessment for written work, possible use a computer for written work, providing oral answers to questions from the bench rather than the middle of the classroom, asking simply formulated questions, is most essential for German language teachers. …”
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Understanding Flaky Tests Through Linguistic Diversity: A Cross-Language and Comparative Machine Learning Study by Azeem Ahmad, Xin Sun, Muhammad Rashid Naeem, Yasir Javed, Mohammad Akour, Kristian Sandahl

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Assessing the Value of Transfer Learning Metrics for Radio Frequency Domain Adaptation by Lauren J. Wong, Braeden P. Muller, Sean McPherson, Alan J. Michaels

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Computer-mediated Diagnostic Assessment of Mixed-ability EFL Learners’ Performance on Tiered Tasks: Differentiating Mediation on Google Meet™ by Fahimeh Rafi, Natasha Pourdana, Farid Ghaemi

“…Grounded in Vygotsky’s sociocultural theory of mind and the learner-centered approach to second/foreign language acquisition (SLA), this study investigated the extent to which the embedded differentiated instructions and diagnostic assessment, being mediated on Google Meet™ computer-mediated communication platform, would impact the improvement of mixed-ability English-as-a-Foreign-Language (EFL) learners’ English words pronunciation and their degree of engagement in language learning. …”
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USING CORPORATE MECHANISMS TO IMPROVE ACADEMIC ENGLISH LANGUAGE PROFICIENCY AMONG POSTGRADUATE STUDENTS: IMPACT ON THE LEARNING PROCESS by Ольга Володимирівна Чайковська

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Revolutionizing Sperm Analysis with AI: A Review of Computer-Aided Sperm Analysis Systems by Francisco J. Baldán, Diego García-Gil, Carlos Fernandez-Basso

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Data Mining–Based Model for Computer-Aided Diagnosis of Autism and Gelotophobia: Mixed Methods Deep Learning Approach by Mohamed Eldawansy, Hazem El Bakry, Samaa M Shohieb

“…In cases where facial cues were ambiguous, the GELOPH<15> questionnaire, consisting of 15 items, was administered to confirm the diagnosis The system was fully implemented using the Python programming language. Deep learning models were developed using libraries such as PyTorch for training the multilayer perceptron classifier, while CUDA was used to accelerate computations on compatible graphics processing units. …”
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A Deep Learning Approach for Automated Depression Assessment Using Roman Urdu by Ruba Mohmand, Usman Habib, Muhammad Usman, Jamel Baili, Yunyoung Nam

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An Empirical Comparison of Machine Learning and Deep Learning Models for Automated Fake News Detection by Yexin Tian, Shuo Xu, Yuchen Cao, Zhongyan Wang, Zijing Wei

“…Detecting fake news is a critical challenge in natural language processing (NLP), demanding solutions that balance accuracy, interpretability, and computational efficiency. …”
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Machine Learning-Driven Acoustic Feature Classification and Pronunciation Assessment for Mandarin Learners by Gulnur Arkin, Tangnur Abdukelim, Hankiz Yilahun, Askar Hamdulla

“…This study confirms the effectiveness of objective assessment methods based on formant analysis in speech acquisition research, provides a theoretical basis for algorithm optimization in speech evaluation systems, and holds significant application value for the development of Computer-Assisted Language Learning (CALL) systems and the improvement of multi-ethnic Mandarin speech recognition technology.…”
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Improving Aerobics Posture Evaluation by Transfer Learning: Humanized Computational Application of BERT-PTA Domain Adaptive Methods by Wenting Zhou, Biao Guo, Feng Cao

“…BERT and PTA methods were chosen because BERT’s bidirectional language understanding and transfer learning capabilities can effectively adapt to the language instructions in the field of aerobics, and PTA’s posture tracking and humanized computing features provide an accurate and user-friendly solution specifically for the assessment of aerobics poses. …”
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Review of the application of intelligent speech technology in education by Gao Jianqing, Wan Genshun, Wu Kui, Fu Zhonghua

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Using Informal Assessments in Project-Based Learning to Motivate Students to Speak Up: A Classroom Action Research Learned from ESP Courses by Futuh Handoyo, Lia Agustina, Setiawan R, Manal Laaribi, Nguyen Thi Hong Chuyen

“…An assessment is a way of gathering and discussing data from various sources to gain an understanding of what a student knows, understands, and is able to do with their knowledge resulting from their education to improve their future learning. …”
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Backdoor Attack Against Dataset Distillation in Natural Language Processing by Yuhao Chen, Weida Xu, Sicong Zhang, Yang Xu

“…Dataset distillation has become an important technique for enhancing the efficiency of data when training machine learning models. It finds extensive applications across various fields, including computer vision (CV) and natural language processing (NLP). …”
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