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IMPROVING READING SKILLS IN THE USE OF QUESTION AND ANSWER
Published 2020-12-01“…It also correlates to the advantages of using Questions-Answer Relationship (QAR) to improve students’ reading comprehension skills and the application of QAR. the paper concludes with several suggestions for classroom in the university level. …”
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USING QUESTION ANSWER RELATIONSHIP STRATEGY TO IMPROVE READING COMPREHENSION
Published 2017-05-01“…It was found that there was an improvement in the students’ ability in Reading Comprehension after Question Answer Relationship (QAR) strategy was applied. …”
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Towards Improving Open Student Answer Assessment using Pretrained Transformers
Published 2021-04-01“…The experimental results demonstrated the effectiveness of these models based on the transfer learning pretraining-finetuning paradigm for open student answer assessment. An improvement of 8%-15% in accuracy was obtained over previous methods. …”
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Giving Questions and Getting Answers (GQGA) Strategy Improves Biology Learning Outcomes
Published 2019-12-01Get full text
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Design of agricultural question answering information extraction method based on improved BILSTM algorithm
Published 2024-10-01“…In this study, an agricultural question-answering information extraction method based on the BE-BILSTM (Improved Bidirectional Long Short-Term Memory) algorithm is designed. …”
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Multimodal representative answer extraction in community question answering
Published 2023-10-01“…To solve the information overload problem of multimodal answers in community question answering (CQA), this paper proposes a multimodal representative answer extraction method. …”
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Analysis of The Use of Discussion And Question And Answer Methods As an Effort to Improve Student Physics Learning Outcomes
Published 2023-06-01“…This study aims to find out how the views of teachers and students regarding the use of discussion and question-and-answer methods in learning physics as an effort to improve student learning outcomes, especially in the wave material on class XI MIA students at Madrasah Aliyah Negeri 2 Muaro Jambi for the 2022/2023 academic year. …”
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Young digital citizen answers: Can online learning improve the quality of civic education learning?
Published 2022-05-01Get full text
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Envisioning Answers: Unleashing Deep Learning for Visual Question Answering in Artistic Images
Published 2024-03-01“…In specialized fields, the accurate answering of visual questions is crucial for practical applications, and this study focuses on improving a visual question-answering model for artistic images by utilizing a dataset with both visual and knowledge-based questions. …”
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A Theoretical Bound Which Improves the Performance of Compilation-Based Multi-Agent Path Finding
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Improving the Performance of Answers Ranking in Q&A Communities: A Long-Text Matching Technique and Pre-Trained Model
Published 2025-01-01“…This paper introduces TR-BERT, a novel method to answer ranking in Question & Answer (Q&A) communities, designed to tackle the widespread challenges of irrelevant popular answers and the neglect of new questions. …”
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Knowledge injection methods in question answering
Published 2025-06-01“…For example, users of systems providing question answering (QA) services may experience a lack of commonsense knowledge and reasoning proficiency. …”
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THE USE OF ACTIVETEACH AS A DIGITAL MEDIA TO IMPROVE LISTENING COMPREHENSION (A Classroom Action Research at Grade 8 of SMP Karya Bangsa Sintang)
Published 2024-07-01“…The findings showed that the use of ActiveTeach Wider World Level 3 to teach listening in terms of accuracy of answers and understanding of main idea improved the students’ listening comprehension. …”
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Why doctors do not answer referral letters
Published 2009-02-01“…If this matter could be resolved it would relieve frustration at PHC level and improve healthcare services in future. Methods: A qualitative study method was used, as the purpose of this study was to understand and explore in depth doctors’ context, perceptions and motivation for not answering referral letters. …”
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Enhancing the performance of neurosurgery medical question-answering systems using a multi-task knowledge graph-augmented answer generation model
Published 2025-05-01“…These present challenges for further improving the semantic understanding, memory integration, and trustworthiness of intelligent Q&A systems in neurosurgery.ApproachTo address these challenges, we propose a Multi-Task Knowledge Graph-Augmented Answer Generation model (MT-KGAG), designed to enhance perceptual fidelity. …”
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