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130 results for “language learning”
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Literature ReviewOpen accessPhrase in the titleThe Role of Gesture in the Second Language Learning and TeachingNing Cao, Guanying ChenThis paper outlines the crucial role of gesture in the second Language (L2) learning and teaching. Many studies showed that gesture is a key factor in the second language acquisition since it can help to convey meaning, to compensate for speech difficulties and to enhance memory compared to pure verbal learning. The presence of gestures with a verbal message in … …American Journal of Applied Sciences, Vol. 14, Issue 12 · 4 Jan 2018 · 10,204 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDISTANT IN-COMPANY FOREIGN LANGUAGE LEARNING INVOLVING UNIVERSITY STUDENTS-TUTORSAlfiya Rafisovna Masalimova, Gulnara Djuraevna Ikramova, Albina Rafisovna Shaidullina et al.The peculiarities of distant in-company occupation-oriented foreign language learning technology for oil industry professionals under the conditions of business and education integration in the framework of corporate education and its implementing via Electron Corporate University is taken into consideration in this article. The technology proposed suggests university students as tutors and moderators involving in on-line forums for in-company foreign language … …American Journal of Applied Sciences, Vol. 11, Issue 7 · 24 Apr 2014 · 6,566 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDemotivating Factors for English Language Learning Among University StudentsReyhaneh Ghadirzadeh, Fariba Pourabolfathe Hashtroudi, Omid ShokriProblem statement: Demotivation is a relatively new issue in the field of second/foreign Language (L2) learning motivation. Recognizing and removing barriers can have a marked effect on motivation and attention to learning in general and ESL/EFL learning in particular. Demotivating factors are essential factors which negatively influence the learner’s attitudes and behaviors and hence lead to undesired learning outcomes. The … …Journal of Social Sciences, Vol. 8, Issue 2 · 21 Feb 2012 · 11,929 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRecognizing Sign Language Gestures Using a Hybrid Spatio-Temporal Deep Learning ModelMeryem Cherrate, My Abdelouahed Sabri, Ali Yahyaouy, Abdellah AarabRecognizing gestures in American Sign Language (ASL) from video data presents significant challenges due to the intricate combination of hand gestures, facial cues, and body motion. In this work, we introduce a hybrid deep learning framework that integrates Convolutional Neural Networks (CNNs) for extracting spatial characteristics with Long Short-Term Memory (LSTM) networks for capturing temporal sequences. The model was trained … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,048 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEffects of Teaching Literature on Culture Learning in the Language ClassroomChittra Muthusamy, Rasaya Marimuthu, Elangkeeran SabapathyProblem statement: The role of literature in enhancing readers’ cultural understanding in the language classroom was explored. It was a part of an extensive research which focused mainly on language learning and creativity. It is argued that the interface of language, literature and culture are at the forefront of present-day language and literature learning and this facilitates inter-racial, intra-racial and … …American Journal of Applied Sciences, Vol. 8, Issue 8 · 19 Jul 2011 · 7,773 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIntegration of Local Large Language Models, Retrieval-Augmented Generation, and Adaptive LearningAnass Belcaid, Kamal ReklaouiIn recent years, many schools and teachers have started using closed Large Language Models (LLMs) to help with learning. These tools can be very helpful for tutoring and personal learning, but they also bring serious problems. One big issue is that they use cloud systems, which means student data is sent to outside servers. This can put privacy at risk … …Journal of Computer Science, Vol. 22, Issue 4 · 26 Mar 2026 · 3,923 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIntelligent Software Testing for Test Case Analysis Framework Using ChatGPT with Natural Language Processing and Deep Learning IntegrationAlaa Najmi, Mohamed El-DosukyEffective testing scenarios are necessary to guarantee the dependability and Caliber of software. Conventional techniques for creating these scenarios frequently involve a great deal of manual labor and might not fully cover all software requirements. In order to improve the automation and Caliber of software testing scenario development, this study investigates the combination of Natural Language Processing (NLP) and Deep … …Journal of Computer Science, Vol. 21, Issue 5 · 1 May 2025 · 97,719 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleLearning Content Recommendation for Visual Basic.Net Programming Language based on OntologySaman Shishehchi, Seyed Yashar Banihashem, Nor Azan Mat Zin, Shahrul Azman Mohd NoahNowadays, the quality of learning and the expansion of education technology, motivate the researchers to work on learning area more than before. Problem statement: With the rapid advance of learning contents on the web and also the variety of learning books, finding suitable ones has become a very difficult and complicated task for learners. Approach: This study aims to propose … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,478 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDetecting Novelty in Indonesian Research Grant Proposals Using Machine Learning and Natural Language ProcessingWalanstar Alimcan Sitorus, Evaristus Didik MadyatmadjaAssessing the novelty of research proposals represents a critical challenge in large-scale research grant management, particularly when the number of submitted proposals is substantial and topic diversity continues to increase. This study proposes an analytical approach to detect the novelty of Indonesian academic research proposal titles by leveraging semantic similarity based on Natural Language Processing (NLP). The CRISP-DM framework is … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Aug 2026 · 1,067 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFew-shot Fine-tuning of BERT Multilingual for Hindi Word Sense DisambiguationShailendra Kumar Patel, Rakesh Kumar, Anuj Kumar SirohiWord Sense Disambiguation (WSD) is a fundamental task in Natural Language Processing (NLP), addressing the challenge of identifying correct word meanings in context. This task is particularly complex for morphologically rich and resource-limited languages like Hindi, which exhibit significant lexical ambiguity compounded by limited availability of annotated corpora. To address these challenges, we propose a supervised approach combining the multilingual … …Journal of Computer Science, Vol. 21, Issue 11 · 26 Dec 2025 · 2,250 accessesView PDFCite