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Ant colony optimization algorithm for load balancing in grid computing
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Developing computational thinking competencies through constructivist argumentation learning: a problem-solving perspective
Published 2022“…Argumentation is a scientific literacy practice focused on developing scientific thinking skills associated with problem-solving. …”
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Some metaheuristic algorithms for solving multiple cross-functional team selection problems
Published 2022“…We compared the developed algorithms with the MIQP-CPLEX solver on 500 programming contestants with 37 skills and several randomized distribution datasets. …”
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Enhancing problem-solving skills of novice programmers in an introductory programming course
Published 2023Article -
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Factors and types of error that contributes to the difficulties in solving Mathematical problems among Year 5 pupils in SK Goebilt, Kuching / Hardi Rasidi
Published 2016“…Teachers must play their role at school with creative and innovative lessons so that pupils will be able to develop their thinking skills while solving mathematical word problem questions.…”
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Dynamic force-directed graph with weighted nodes for scholar network visualization
Published 2022“…The approach is realized by creating a web-based interface using D3 JavaScript algorithm that allows the visualization to focus on how data are connected to each other more accurately than the conventional lines of data seen in traditional data representation. …”
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Visualization Tool for Pathfinding Algorithms
Published 2023“…With its user-friendly interface and emphasis on visualization, the proposed tool has the potential to enhance students' understanding, problem-solving skills, and overall proficiency in algorithmic thinking. …”
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Final Year Project Report / IMRAD -
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Why coding? Why now? From coding to computational thinking through computational mathematics problem based learning (CM-PBL)
Published 2019“…Promoting different kind of skills and abilities among students is important to solve the complexity problem in real world. …”
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Prediction of MUET result based on KNN algorithm / Siti Fatimah Azzahra Hamrizan
Published 2021“…The study aims to explore the K-Nearest Neighbour (KNN) algorithm in solving the MUET result prediction problem, to develop a prototype of MUET result prediction based on the KNN algorithm and to evaluate the accuracy of the KNN algorithm in MUET result prediction. …”
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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“…Unfortunately, the logical reasoning among UiTM students in computer problem solving usually results in high failure rates. Thus, there is a need to find alternative solutions to improve the students' logical thinking skill in computer problem solving. …”
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Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm
Published 2008“…Among Information Technology graduates, Java programming assignments is an essential part of learning programming as it trains the student to solve programming assignments so that they can improve their programming skills that is useful in their professional life after graduation. …”
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Computerised Heuristic Algorithm for Multi-location Lecture Timetabling
Published 2020“…A two-stage heuristic algorithm is proposed to solve the multi-location timetabling problem on MSc HRD coursework programme. …”
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Word problems as a vehicle for teaching computational thinking
Published 2023“…This conceptual framework has two objectives: (1) developing deep learning and connected computational thinking through a mathematical curriculum instructional model which is capable of improving students' problem-solving skills; and (2) implementing the designed model to assist teachers in education who encountered difficulties when using problem-based curriculum materials. …”
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Meta-Heuristic Algorithms for Learning Path Recommender at MOOC
Published 2021“…The recommended studying path satisfies several learner criteria, such as the critical learning path, number of enrollments, learning duration, popularity, rating of previous learners, and cost. We have developed Metaheuristic algorithms includes the Genetic Algorithm (GA) and Ant Colony Optimization Algorithm (ACO), to solve the proposed model. …”
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Clustering autism spectrum disorder student’s system based on intelligence, skills and behavior using agglomerative clustering algortihm / Daarin Nadia Nordin
Published 2020“…To conclude, it is found that the Agglomerative Clustering approach in the model is able to solve the challenge in identifying the student’s educational need and the system is able to visualize the student’s strength and weaknesses in their academics, skills and behaviour. …”
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