Search Results - (( learner interaction _ algorithm ) OR ( java implication based algorithm ))

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

“…Algorithm Visualization (AV) is a pedagogical tool that can help learners to see the animation of the step-by-step process of an algorithm. …”
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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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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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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool by Nurshafiqa Saffah, Mohd Sharif

“…Enhancements in cognitive neuroscience and brain imaging technologies such as Human-Computer Interaction (HCI) have started to provide human with the ability to interact directly with the brain. …”
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Kodepoly: an engaging approach to blended futuristic learning in coding by Abd Rahman, Norsyafrina, Azhar Amanullah, Ayn Nur Azhana

“…The game is designed to introduce students to the fundamentals of coding and emerging technologies, promoting interactive and student-centred learning. Preliminary outcomes derived from playtesting sessions indicate a positive learner engagement with Kodepoly, alongside a noted enhancement in the comprehension of coding concepts. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

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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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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CT-eKit: computational thinking interactive learning / Ong Sing Ling, Jill Ling and Fetylyana Nor Pazilah by Ong, Sing Ling, Jill, Ling, Pazilah, Fetylyana Nor

“…The CT-eKit consists of three main activities: a CT video, a Kahoot CT quiz and a Scratch CT Concepts game to learn the four CT concepts: decompose, pattern, abstraction and algorithm in a fun and interactive environment. A mixed method was employed to investigate the students' learning experience with CT-eKit. …”
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Fuzzy adaptive teaching learning-based optimization strategy for pairwise testing by Din, Fakhrud, Kamal Z., Zamli

“…In simple terms, a pairwise testing strategy significantly minimizes large input parameter values (or configuration options) of a system into a smaller set based on pairwise interaction (or combination). Fuzzy Adaptive Teaching Learning-based Optimization (ATLBO) algorithm is an improved form of Teaching Learning-based Optimization (TLBO) algorithm. …”
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Exploring the unseen: Unleashing the potential of Synthesia AI in pedagogical approaches / Ts. Jacqueline Joseph by Joseph, Jacqueline

“…The rapid development of AI, or artificial intelligence, in recent years is reshaping the way people interact with machines. Synthesis AI is an advanced innovation that utilizes AI and deep learning algorithms to create educational videos with a humanlike voice actor. …”
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Statistics Easy Tool (SET) / Noor Aisyah Idris and Nurdia Azlin Ghazali by Idris, Noor Aisyah, Ghazali, Nurdia Azlin

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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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