Search Results - (( code education learning algorithm ) OR ( java implication based algorithm ))

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  1. 1

    Kodepoly: an engaging approach to blended futuristic learning in coding by Abd Rahman, Norsyafrina, Azhar Amanullah, Ayn Nur Azhana

    Published 2024
    “…In conclusion, Kodepoly demonstrates significant potential in enhancing coding education through a blended, futuristic learning model. …”
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    Proceeding Paper
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    Why coding? Why now? From coding to computational thinking through computational mathematics problem based learning (CM-PBL) by Ku, Soh Ting, Talib, Othman, Md. Yunus, Aida Suraya, Zolkepli, Maslina

    Published 2019
    “…There has been increased attention on learning coding in education field, in order to nurture sufficient number of young generation to fill in 50 percent of jobs opportunity in science, technology, engineering, and mathematics (STEM) which are computing-related. …”
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    Conference or Workshop Item
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    My little learner: E-learning wonderland by Teoh, Wei En

    Published 2025
    “…Area of Study (Minimum 1 Maximum 2): Mobile Application Development, Educational Technology Keywords (Minimum 5 Maximum 10): Kindergarten E-Learning, Mobile Learning Application, Adaptive Learning, Gamified Education, Early Childhood Education…”
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    Final Year Project / Dissertation / Thesis
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    Word problems as a vehicle for teaching computational thinking by Ting, Ku Soh, Talib, Othman, Mohd Ayub, Ahmad Fauzi, Zolkepli, Maslina, Yee, Chen Chuei, Hoong, Teh Chin

    Published 2023
    “…Students can use the CM-PBL learning framework to simulate and build their own computational models as to aid their self-learning and comprehension of mathematical concepts. …”
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    Article
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    My little learner : E-learning wonderland by Teoh, Wei En

    Published 2025
    “…The app will also use adaptive learning algorithms to tailor the instructional material to each child's unique learning style and speed. …”
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    Final Year Project / Dissertation / Thesis
  9. 9

    Enhancing teaching and learning through data-driven optimization of servicing code demand and lecturer allocation using WEKA analysis by Rochin Demong, Nur Atiqah, Mohamed Razali, Murni Zarina, Kamaruddin, Juliana Noor, Shamsuddin, Sazwan, Awang, Nor Ain, Kamarudin, Norjuliatie, Wan Othman, Noor Faradilla

    Published 2025
    “…This study applies machine learning techniques using the WEKA analytical tool to explore, cluster and classify servicing code applications using a dataset gathered from multiple faculties, and campuses within the Faculty of Business and Management in a selected public university in Malaysia. …”
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    Article
  10. 10

    Ethical and academic landscape of AI in Malaysian polytechnics by Muslimin, Mohamad Siri, Haidzir, Muhammad Hafidz, Mohd Noor, Marjan

    Published 2025
    “…There is no denying that artificial intelligence (AI) has become an influential force in education and beyond. The technological advancements are substantial, ranging from sophisticated algorithms capable of trend prediction to generative AI tools such as ChatGPT that can produce essays or code (Bhandari, 2023). …”
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    Book Section
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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 by Arnone, K., Hutson, J., Woodruff, K.

    Published 2023
    “…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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    Article
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