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Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

K-means Clustering Analysis for EEG Features of Situational Interest Detection in Classroom Learning by Othman, E.S., Faye, I., Babiker, A., Hussaan, A.M.

“…This paper proposes a method to detect situational interest in classroom learning using k-means algorithms. The developed algorithm in this paper had been tested on features from ten students who experienced mathematics learning in a classroom. …”
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Machine learning algorithms for early predicting dropout student online learning by Dewi, Meta Amalya, Kurniadi, Felix Indra, Murad, Dina Fitria, Rabiha, Sucianna Ghadati, Awanis, Romli

“…Online learning is different from offline learning in the classroom with supervision from the lecturer. …”
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Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems by Din, Fakhrud, Khalid, Shah, Fayaz, Muhammad, Gwak, Jeonghwan, Kamal Z., Zamli, Mashwani, Wali Khan

“…Teaching learning-based optimization is one of the widely accepted metaheuristic algorithms inspired by teaching and learning within classrooms. …”
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Fast Corner Detection in Augmented Reality Learning Management of the Corpse by Undang, Syaripudin, Diena Rauda, Ramdania, Wine, Widiawaty, Wildan Budiawan, Zulfikar, Dian Sa'adillah, Maylawati

“…This study aims to make it easier for students to understand better and remember caring for corpses in the classroom. A learning application for managing bodies made using Augmented Reality (AR) technology. …”
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Students Activity Recognition By Heart Rate Monitoring In Classroom Using K-means Classification by Hadi Helmi Md Zuraini, Rimuljo Hendradi, Army Justitia, Waidah Ismail

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Real-time face recognition system in smart classroom using Haar cascade and local binary pattern model by Mohamed, Raihani, Jafni, Jaffrina Umaira, Mohd Rum, Siti Nurulain

“…The face recognition system is proposed to use the Haar Cascades algorithm to detect individual faces of students while using Local Binary Pattern (L B P) is used to identify and verify students’ identity by using their facial features. …”
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Reimagining English language learning: a systematic review of AI integration in classroom practice (2019–2024) by Ibrahim Brian, Muhammad Shyazzwan

“…This Systematic Literature Review (SLR) examines the integration of Artificial Intelligence (AI) in English Language Learning (ELL) with the aim of reimagining classrooms as creative, inclusive, and technology-enhanced spaces. …”
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Automatic attendance system using face recognition with deep learning algorithm by Al-Amoudi, Ibrahim, Rosdiyana, Samad, Nor Rul Hasma, Abdullah, Mahfuzah, Mustafa, Pebrianti, Dwi

“…The face recognition system has been developed using a combination of two deep learning algorithms: Multi-Task Cascaded Convolutional Neural Network (MTCNN) and FaceNet. …”
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Automatic attendance system using face recognition with deep learning algorithm by Al-Amoudi, Ibrahim, Rosdiyana, Samad, Nor Rul Hasma, Abdullah, Mahfuzah, Mustafa, Pebrianti, Dwi

“…The face recognition system has been developed using a combination of two deep learning algorithms: Multi-Task Cascaded Convolutional Neural Network (MTCNN) and FaceNet. …”
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Enhancing classroom engagement using real-time student attention monitoring with YOLOv9 by Gunawan, Teddy Surya, Muzarudin, Muuhammad Amirul Faiz, Kartiwi, Mira, Md Yusoff, Nelidya

“…Future enhancements will focus on integrating additional data sources, reducing misclassifications, and improving algorithm scalability and accuracy to foster a more adaptive learning environment and showcase the system's potential for diverse educational applications.…”
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Students’ attitude towards video-based learning: machine learning analysis with rapid software / Abdullah Sani Abd Rahman ... [et al.] by Abd Rahman, Abdullah Sani, Meutia, Rita, Hamid, Yusnaliza, Abdul Rahman, Rahayu

“…There has been a rapid rise mainly since the COVID19 pandemic in the use of video-based learning implemented via online classroom setting. …”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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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.

“…Research has confirmed that the current use of AI in education (AIEd) leads to positive outcomes, including improved learning outcomes for students, along with increased access, increased retention, lower cost of education, and decreased time to completion. …”
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Developing students' mathematical thinking: how far have we came? by Md. Yunus, Aida Suraya

“…So how far have we come? Are the classroom activities, assessment tasks and assessment questions geared towards cultivating mathematical thinking and decision making? …”
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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

“…To achieve these goals, computational mathematics problem based learning (CM-PBL) instructional strategy is developed to promote an active learning environment for classroom management involving problem solving. …”
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Form four chemistry teachers’ conceptualization of pedagogical content knowledge / Chien Lee Shing by Chien, Lee Shing

“…As a whole, the teaching of the four Form Four chemistry teachers was teacher-oriented, algorithmic, using chalk-and-talk approach which did not support thoughtful and meaningful and optimal learning among the students. …”
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Perceptions and practices of blended learning in foreign language teaching at USIM by Suo Yan Ju, Suo Yan Mei

Beyond the classroom: digital language learning in the Malaysian context by Mohd Nadzrin, Nur Amelia, Md Yunus, Melor, Mohd Said, Nur Ehsan

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Designing an integrated AIOT system for tracking class attendance by Kuak, Xuan Ren

“…Basics and ensures that the software is more secure than the previous traditional attendance method using roll-less slides. For face detection the system uses a YOLO (You Only Look Once) algorithm, which allows quick and efficient recognition of student faces in the classroom context. …”
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