Search Results - (( java implication based algorithm ) OR ( programming teaching between algorithm ))

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    Modeling a problem solving approach through computational thinking for teaching programming / Zebel Al Tareq by Zebel , Al Tareq

    Published 2021
    “…This study aims to investigate teaching issues in solving programming problems and find the right approach to teach programming using a suitable problem solving approach method. …”
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    Thesis
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    Enhancing understanding of programming concepts through physical games by Raja Yusof, Raja Jamilah, Habib, Ahsan

    Published 2017
    “…Teaching programming courses have always been a challenge faced by many lecturers and instructors of programming courses, even though much effort has been put in by institution involved. …”
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    Conference or Workshop Item
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    Impact of Computational Thinking and Computer Science (CTCS) Teaching Technique at Seleceted Schools in Sarawak : A Qualitative Analysis by Nor Iqbal, Mohd Sait, Noor'ain, Aini, Kartinah, Zen

    Published 2023
    “…In the context of Malaysia, CTCS was incorporated into education in 2017 through the integration of elements of Information Communication Technology into almost all subjects at both primary and secondary levels. Between 2017 and 2020, the Faculty of Computer Science and Information Technology (FCSIT), UNIMAS conducted teaching certificate program for teachers, and outreach program based on digital making, programming, and robotics for students to increase their readiness in digital knowledge through computational thinking and computer science (CTCS). …”
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    Proceeding
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    Assessment of using EZ-Prog: an easy color schematic model for programming problem solving by Siti Nordianah Hai Hom, Hasnul Hadi Ibrahim, Abrizah Ibrahim, Mudiana Mokhsin, Corrienna Abdul Talib

    Published 2020
    “…The implications of this study indicate that EZ-Prog can be used in learning and teaching algorithms, especially programming problems. …”
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    Article
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    Current applications of machine learning in dentistry by Ghazali, Ahmad Badruddin, Reduwan, Nor Hidayah, Ibrahim, Roliana

    Published 2022
    “…ML programs can improve from experience automatically, unlike traditional computer programming, where every step of the program requires a written code (Mayo & Leung, 2018). …”
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    Book Chapter
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    Learning style analysis based on Felder-Silverman Index Model using Rule Base algorithm by Nurhakim, Muhammad, Ismail, Suhaila, Mohd Yusop, Nurhafizah Moziyana, Ahmad, Siti Rohaidah

    Published 2024
    “…Overall, the Learning Style Analysis System implementation is expected to positively contribute to the quality of teaching and learning at the university by aligning teaching approaches to individual learning styles. …”
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    Article
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    تعلم اللغة العربية بمساعدة الحاسب عن طريق الكلمات المتشابهة = Computer assisted language learning for Arabic using cognates by Khedher, Akram M Z M, Senan Mahmood, Shayma’a

    Published 2023
    “…The analytical approach will be used to study the methods and algorithms used to find similarities between different languages, and then developing a new algorithm to find similarities between Arabic and English languages, and this method is considered one of the Natural Language Processing techniques.…”
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    Article
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    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
    “…The dataset of 297 instances comprised attributes such as Course Code, Course Name, Course Type, Faculty, Program, Campus, Total Number of Students Enrolled and Approval Status. …”
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    Article
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    Examining the potential of machine learning for predicting academic achievement: A systematic review by Nazir, M., Noraziah, Ahmad, Rahmah, M., Sharma, Aditi

    Published 2023
    “…Our review of 60 studies published between January 2019 to March 2023 reveals that ML algorithms can be highly effective in predicting student academic performance. …”
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    Article
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    Examining the potential of machine learning for predicting academic achievement: A systematic review by Nazir, M., Noraziah, Ahmad, Rahmah, M., Sharma, Aditi

    Published 2023
    “…Our review of 60 studies published between January 2019 to March 2023 reveals that ML algorithms can be highly effective in predicting student academic performance. …”
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    Article
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