Search Results - (( developing teaching context algorithm ) OR ( java implication based algorithm ))

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network by Ahmad Afif, Mohd Faudzi

“…As a learning method, the combination of Reinforcement Learning and a Recurrent Neural Network (RNN) was applied. The developed learning system has a 4-layered RNN and it was trained by BPTT method based on teaching signal that was generated by Q-Learning algorithm. …”
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Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network by Ahmad Afif, Mohd Faudzi

“…As a learning method, the combination of Reinforcement Learning and a Recurrent Neural Network (RNN) was applied. The developed learning system has a 4-layered RNN and it was trained by BPTT method based on teaching signal that was generated by Q-Learning algorithm. …”
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Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network by Ahmad Afif, Mohd Faudzi

“…As a learning method, the combination of Reinforcement Learning and a Recurrent Neural Network (RNN) was applied. The developed learning system has a 4-layered RNN and it was trained by BPTT method based on teaching signal that was generated by Q-Learning algorithm. …”
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Developing computational thinking competencies through constructivist argumentation learning: a problem-solving perspective by Voon, Xin Pei, Wong, Su Luan, Wong, Lung Hsiang, Md Khambari, Mas Nida, Syed Abdullah, Sharifah Intan Sharina

“…To nurture higher order thinking skills and to engage effective problem-solvers, our framework incorporates four Computational Thinking-Argumentation design principles to support instructional innovation in the teaching and learning of science at the secondary school level, viz. 1) developing problem-solving competencies and building capability in solving uncertainties throughout scientific inquiry; 2) developing creative thinking and cooperativity through negotiation and evaluation; 3) developing algorithmic thinking in talking and writing; 4) developing critical thinking in the processes of abstraction and generalization.…”
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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

“…The findings showed that the reception of CT was positive as teachers found teaching easier and students showing greater interest in learning. …”
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Teaching students interdisciplinary knowledge through compilation of differential models within the framework of course projects / Duisebek Nurgabyl ... [et al.] by Nurgabyl, Duisebek, Zhailaubaeva, Nazgul, Abdoldinova, Gulsim, Kaidassov, Zhetkerbai

“…An experimental study showed that higher education teachers face the following learning issues: the development of a new content of mathematical disciplines aimed at creating the ability of future teachers to compose mathematical models, at ameliorating their mathematical thinking, interdisciplinary knowledge; development of a methodology for teaching future teachers of mathematics interdisciplinary knowledge, to compiling differential models.…”
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Challenges in developing artificial intelligence based systems using classic Software Development Life Cycle / Noorihan Abdul Rahman by Abdul Rahman, Noorihan

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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

“…A computational mathematics problem-based learning (CM-PBL) teaching technique is developed to achieve these goals. …”
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Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969) by Pathan, Al-Sakib Khan, Abdullah , Matin Saad, Al Shaikhli, Imad Fakhri

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Reimagining English language learning: a systematic review of AI integration in classroom practice (2019–2024) by Ibrahim Brian, Muhammad Shyazzwan

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Improving The Institutional Research and Publication Performances Using Clustering Algorithm by Mohmad Kamal, Fazillah, Omar, Mohd Faizal, Jamil, Jastini

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Developing students' mathematical thinking: how far have we came? by Md. Yunus, Aida Suraya

“…Mathematical thinking is the foundation to do reasoning and problem solving and to develop conceptual knowledge, as opposed to procedural knowledge. …”
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Applying (ACTFL) Standards to Arabic Language Education and the Challenges of Artificial Intelligence An Analytical Study by Abdallah, Abdallah Saleh, Al-Haddad, Abdulwahab Abdulaziz Kassem, Talib, Noor Husna, Ibrahim Youssef, Mohamed Abdelrahman, Zolmaily, Muhammad Akmal

“…Furthermore, alignment with ACTFL standards should not only guide instructional content but also inform the development of AI algorithms and feedback systems. …”
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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

“…Computational thinking is essential to computing and information science (i.e., algorithmically, with or without the assistance of computers) to solve problems with solutions that are reusable in different contexts. …”
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