Search Results - (( developing education course algorithm ) OR ( java implication based algorithm ))
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Grid portal technology for web based education of parallel computing courses, applications and researches
Published 2009“…These courses will actively engage the students in exploring the concepts of the development the parallel algorithm in visualizing the grand challenge applications of mathematical problems. …”
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Conference or Workshop Item -
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Neural Network Prediction of Suitability Course for Post PMR Students
Published 2003“…This study aims to develop a Neural Network Model for predicting suitability course for post PMR students. …”
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Thesis -
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Evaluate the performance of university timetabling problem with various artificial intelligence techniques
Published 2025“…The project focuses on developing an automated university course timetable scheduling tool using Genetic Algorithm (GA). …”
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Final Year Project / Dissertation / Thesis -
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An artificial intelligence approach to monitor student performance and devise preventive measures
Published 2023“…This research evaluates the effectiveness of machine learning algorithms to monitor students� academic progress and informs the instructor about the students at the risk of ending up with unsatisfactory result in a course. …”
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Tracking student performance in introductory programming by means of machine learning
Published 2023Conference Paper -
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Using web questionnaire for web-based course evaluation: advantages and disadvantages
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Conference or Workshop Item -
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Analyzing enrolment patterns: modified stacked ensemble statistical learning based approach to educational decision-making
Published 2024“…In the realm of global Science, Technology, Engineering, and Mathematics (STEM) education, the declining enrolment in advanced mathematics courses poses a substantial challenge to the development of a robust STEM workforce and its role in sustainable economic growth. …”
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Teaching students interdisciplinary knowledge through compilation of differential models within the framework of course projects / Duisebek Nurgabyl ... [et al.]
Published 2023“…The following article proposes an algorithm for the implementation of interdisciplinary learning, the compilation of differential models on the example of the implementation of an integrated course project by students – future teachers of mathematics, chemistry and physics. …”
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Object-oriented online course recommendation systems based on deep neural networks
Published 2024“…To tackle these issues, this paper introduces a comprehensive analysis and design of an object-oriented online course recommendation system. Employing a deep neural network algorithm for course recommendation, our system adeptly captures user preferences, course attributes, and intricate relationships between them. …”
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Integrating of web 2.0 technologies for interactive courseware : data structure and algorithm as case study
Published 2013“…The intention of the developed courseware is not to replace conventional class, but the develop courseware main objective is to assist students of FCSIT for better understanding towards Data Structure and Algorithms Course (TMC1433) through interactive delivering information.…”
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Final Year Project Report / IMRAD -
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A Systematic Approach to Transform Machine Learning Students� Performance Prediction Model into Preventive Procedures
Published 2023“…Educational Data Mining tools, specifically Machine learning classifiers, appear supportive to develop prediction models which forecast students� final outcome in a course. …”
Conference Paper -
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Analyzing enrolment patterns: Modified stacked ensemble statistical learning-based approach to educational decision-making
Published 2024“…In the realm of global Science, Technology, Engineering, and Mathematics (STEM) education, the declining enrollment in advanced mathematics courses poses a substantial challenge to the development of a robust STEM workforce and its role in sustainable economic growth. …”
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Object-oriented online course recommendation systems based on deep neural networks
Published 2024“…To tackle these issues, this paper introduces a comprehensive analysis and design of an object-oriented online course recommendation system. Employing a deep neural network algorithm for course recommendation, our system adeptly captures user preferences, course attributes, and intricate relationships between them. …”
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