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User interface and interactivity design guidelines of algorithm visualization on mobile platform by Supli, Ahmad Affandi

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My little learner : E-learning wonderland by Teoh, Wei En

“…The main goal is to overcome the shortcomings that currently exist in e-learning platforms for young learners, including inadequate motivation incentives, a lack of a dashboard that provides insight, an absence of a reminder notification system, insufficient support for a variety of learning methods, and a lack of interactive areas. …”
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Designing algorithm visualization on mobile platform: The proposed guidelines by Supli, Ahmad Affandi, Shiratuddin, Norshuhada

“…In fact, mobile learning has been proved to enhance engagement in learning circumstances, and thus effect student’s performance.In addition, the researchers highly recommend including UI design and Interactivity in designing effective AV system.However, the discussions of these two aspects in previous AV design guidelines are not comprehensive.The UI design in this paper describes the arrangement of AV features in mobile environment, whereas interactivity is about the active learning strategy features based on learning experiences (how to engage learners). …”
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My little learner: E-learning wonderland by Teoh, Wei En

“…The main goal is to overcome the shortcomings that currently exist in e-learning platforms for young learners, including inadequate motivation incentives, a lack of a dashboard that provides insight, an absence of a reminder notification system, insufficient support for a variety of learning methods, and a lack of interactive areas. …”
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Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool by Nurshafiqa Saffah, Mohd Sharif

“…In future, this research can be an initial work in automating tutorial decisions in an intelligent tutoring system which are able to adapt to the behaviour of the learners based on the detected mental states. …”
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The Effects Of Segmenting And Computational Thinking In Digital Video Courseware On Knowledge Achievement, Self-Efficacy And Motivation Among Students With Different Thinking Style... by Ali, Wan Nor Ashiqin Wan

“…The researcher found significant main and interaction effects of the learner-paced predefined segment on all dependent variables. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Teaching and learning via chatbots with immersive and machine learning capabilities by Nantha Kumar Subramaniam

“…The unique features of these chatbots are (i) The chatbots are self-contained, interconnected and are able to initiate a learning process for a particular learning outcome and provide feedback to a student as they are working through problems; (ii) These chatbots are able to engage the learners’ in the “one-toone” session of the problem-solving process for more than one-hour through conversing with a student; and (iii) It supports immersive learning in order simulate the realistic scenarios and environments that give learners the opportunity to practice skills and interact with the simulated tutor. …”
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Fuzzy adaptive teaching learning-based optimization strategy for pairwise testing by Din, Fakhrud, Kamal Z., Zamli

“…ATLBO employs Mamdani fuzzy inference system to select adaptively either teacher phase or learner phase based on performance instead of blind sequential application as in original TLBO. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

A Modular Intelligent Control Framework for Scalable Biohydrogen Production in Microbial Electrolysis Cells by Mohd Farid, Atan, Mohamad Afiq, Mohd Asrul, Andrica Claudia, Henry, Hafizah, Abdul Halim Yun, Ivy Tan, Ai Wei, Josephine Lai, Chang Hui

“…Recent hybrid approaches that embed AI learners within mechanistic-based models and real-time feedback loops show the greatest gains in predictive accuracy and robustness. …”
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Ethical Considerations in the Use of AI in Learning and Teaching for Special Education. by Noor Aida, Md Noor, Siti Noor Aneeis, Hashim, Juereanor, Mat Jusoh, Leha, Saliman, Shazali, Johari, NorHamidah, Ibrahim, Zaim Azizi, Abu Bakar, Mohd Norazmi, Nordin

“…The rapid integration of Artificial Intelligence (AI) within the domain of Special Education (SPED) has catalyzed a paradigm shift in how students with diverse learning needs access curriculum and interact with their environment. While AI-driven tools—ranging from predictive text and speech-to-text systems to sophisticated social robots for neurodivergent learners—offer unprecedented levels of personalized support, they simultaneously introduce complex ethical quandaries. …”
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