Search Results - (( initial education learning algorithm ) OR ( java implication based algorithm ))
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…Initially, this tool adopts only Crow Search, Jaya, and Sine Cosine algorithms. …”
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Max-D clustering K-means algorithm for Autogeneration of Centroids and Distance of Data Points Cluster
“…As an iterative clustering strategy, K-Means algorithm is very sensitive to the initial starting conditions. …”
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Innovating education: AI-powered self-instructional materials for the Moodle platform
Published 2025“…This innovative Self-Instructional Material (SIM) for Linear Algebra, seamlessly integrated into the Moodle platform, offers students a flexible and accessible learning experience. Designed initially for Open and Distance Learning at Universiti Sains Malaysia, the AI-powered SIM enables self-paced and self-directed learning, catering to diverse learning needs and preferences. …”
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Analyzing enrolment patterns: modified stacked ensemble statistical learning based approach to educational decision-making
Published 2024“…These insights were valuable for shaping educational policy and practice, emphasizing the importance of promoting STEM education initiatives and encouraging educators and counselors to empower students to pursue STEM careers while actively promoting gender equality within STEM fields…”
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Learning style analysis based on Felder-Silverman Index Model using Rule Base algorithm
Published 2024“…This process benefits students and strengthens the relationship between educators and students, ensuring a more individual or personal approach to learning. …”
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Analyzing enrolment patterns: Modified stacked ensemble statistical learning-based approach to educational decision-making
Published 2024“…These insights were valuable for shaping educational policy and practice, emphasizing the importance of promoting STEM education initiatives and encouraging educators and counselors to empower students to pursue STEM careers while actively promoting gender equality within STEM fields.…”
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Analyzing enrolment patterns: Stacked ensemble statistical learning-based approach to educational decision making
Published 2023“…These insights were valuable for shaping educational policy and practice, emphasizing the importance of promoting STEM education initiatives and encouraging educators and counselors to empower students to pursue STEM careers while actively promoting gender equality within STEM fields.…”
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A dynamic eLearning prediction modelbased on incomplete activities of eLearning system
Published 2020“…At present, eLearning usage is diverse because the eLearning activities used in teaching and learning differ depending on educators. …”
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Teaching and learning via chatbots with immersive and machine learning capabilities
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Trends on technologies and artificial intelligence in education for personalized learning: systematic literature review
Published 2022“…The study of technologies for personalized learning in education in other nations has primarily concentrated on higher education, and it is advised that the scope of the research be expanded. …”
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Mobile Learning: An Application Prototype for AVL Tree Learning Object
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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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Impact of Computational Thinking and Computer Science (CTCS) Teaching Technique at Seleceted Schools in Sarawak : A Qualitative Analysis
Published 2023“…Initially exclusive to computer scientists, it has further developed from the realms of computer sciences into a skill to be mastered by all levels and backgrounds of education in numerous countries. …”
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Identification and analysis of core topics in educational artificial intelligence research: a bibliometric analysis
Published 2021“…There is controversy about the AI application to students, AI does not replace teachers and AI algorithms have great contribution in the development of education sector. …”
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Enhancing understanding of programming concepts through physical games
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Density based subspace clustering: a case study on perception of the required skill
Published 2014“…In the early stage, the present research estimates density dimensions and the results are used as input data to determine the initial cluster based on density connection, using DBSCAN algorithm. …”
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