Search Results - (( needs learning styles algorithm ) OR ( java implication based algorithm ))
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Learning style analysis based on Felder-Silverman Index Model using Rule Base algorithm
Published 2024“…They were required to fill out a questionnaire on their learning style. This system can determine the student's learning style and provide recommendations tailored to their needs. …”
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The A-rray: visual animation in learning structured programming / Wan Salfarina Wan Husain ,Siti Hasrinafasya Che Hassan and Wan Norliza Wan Bakar
Published 2018“…According to the result of students' learning style by using a set of Learning Style Inventory, 54% of students are visual thinkers. …”
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Dyslexia handwriting detection using Convolutional Neural Network (CNN) algorithm / Sofea Najihah Mohd Zaki
Published 2024“…Thus, it's critical to detect dyslexic children early to provide them proper support that they need. The handwriting style is a simple way to detect the most common dyslexia sign. …”
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Dropping down the maximum item set: improving the stylometric authorship attribution algorithm in the text mining for authorship investigation
Published 2010“…Approach: The main target in this study is to build an algorithm supports a decision making systems enables users to predict and choose the right author for a specific anonymous author’s novel under consideration, by using a learning procedure to teach the system the Stylometric map of the author and behave as an expert opinion. …”
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Kodepoly: an engaging approach to blended futuristic learning in coding
Published 2024“…This blended learning is designed to facilitate the tracking of learner progress, provide additional pedagogical challenges, and share hints and educational resources, thus catering to various learning styles and environments. …”
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Demystifying Artificial Intelligence (AI) for Early Childhood and Elementary Education: A Case Study of Perceptions of AI of State of Missouri Educators
Published 2023“…Future uses of AI will include the following: enabling engaging and interactive education anytime and anywhere; personalized AI mentors that will help students identify and reach their goals; and mass-personalization that will allow AI to be tailored to each student’s learning style, level, and needs. Yet with all the potential benefits that AI and machine learning (ML) may provide students, there remains a general reticence to adopt this technology because of misconceptions and perceptions that elementary educators will need expensive equipment, robust support from IT, or to retool and learn programming or coding. …”
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Feature recognition and classification of shanxi cave dwellings based on deep learning
Published 2023“…Based on the premise of deep learning to identify and classify the architectural features of Shanxi cave dwellings. …”
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Deep reinforcement learning based resource allocation strategy in cloud-edge computing system
Published 2024“…These results show that distributed decision-making and learning styles of MAL-DRL brings together faster resource allocation which can be interpreted as a reduction of users’ delay experience and therefore lead to better performance of whole system. …”
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Deep reinforcement learning based resource allocation strategy in cloud-edge computing system
Published 2024“…These results show that distributed decision-making and learning styles of MAL-DRL brings together faster resource allocation which can be interpreted as a reduction of users’ delay experience and therefore lead to better performance of whole system. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Grammar-based prosody modification for explicit control Malay language storytelling speech synthesis / Muhammad Izzad Ramli
Published 2018“…Storytelling speech synthesis is a process of converting written text to the spoken speech in storytelling speaking style. It has gained much interest in the area of digital storytelling and storytelling humanoid robot for children in learning environment. …”
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Determining gender differential item functioning for mathematics in coeducational school culture
Published 2018“…Sources of DIF are linguistics density and item presentation style. The findings suggest that with only two moderate DIF mathematics items, there is insufficient evidence to suggest that the mathematics items functioned differently between boys and girls in school culture noted for successful mathematics learning, even though linguistics complexities of the test language cannot be ignored.Significance - While constructing Mathematics multiple choice items, careful considerations need to be given in selecting suitable numbers in composing the content of the item so that, only the correct algorithm would produce the correct answer ‘if and only if’ those numbers are used. …”
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