Development of a linear programming module based on the dick and carey program to improve problem solving skills of students at the faculty of teacher training and education Batang... by Zulyadaini Zulyadaini

“…In the learning process, lecturers provide materials in teaching mode, and students only listen to lectures and concentrate on lectures. …”
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How public libraries reach out to adolescents: a study of adolescents’ perceptions of teen spaces1) in Korean public libraries by Gidong Byun, Gyeongyeon Lee, Mikyoung Ha

“…Linear regression analysis revealed that “creativity support”, “amenity support”, and “learning support” significantly influenced adolescents’ preference for Teen Spaces. …”
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Biography of Ibnu Sahnun: Child Education Scholar by Shahnun Binti Haji Musa, Burhan Che Daud

“…Ibnu Sahnun (m256H) founded the proliferation and augmentation of educational ideas in the context of teaching and learning in kuttab (children's education centers). …”
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Parent Education tentang Pendidikan Seks bagi Remaja: Studi Pengembangan Model Konseling Keluarga Berbasis Sekolah by Nani Nuranisah Djamal, Cece Rakhmat, Syamsu Yusuf, Nandang Rusmana

“…The parental knowledge measurement tool was designed based on the concept of knowledge according to the Revised Bloom Taxonomy, while the effectiveness of the parent education program was adapted from Instruments for Training and Learning Evaluation from Leslie Rae. The results of the study prove that parent education activities are effective in increasing parental knowledge about sex education for adolescents, especially conceptual and procedural knowledge. …”
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A Systematic Literature Review on Defense Techniques Against Routing Attacks in Internet of Things by Lanka Chris Sejaphala, Vusimuzi Malele, Francis Lugayizi

“…., Secure-Protocol, conventional Intrusion Detection Systems (IDS), and Machine Learning (ML)-based. This systematic literature review explores 39 published papers in the domain of defense techniques against routing attacks in RPL-based IoT. …”
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Nudibranch Suborders Classification based on Densely Connected Convolutional Networks by Timothy Christyan, Safitri Yuliana Utama, Bagus Tri Yulianto Darmawan, Faisal Dharma Adhinata

“…In this work, we make an Image Classification model for determining the suborder of a nudibranch using deep learning algorithms DenseNet and EfficientNet. The experiment is conducted using Google Colaboratory environment. …”
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Form and Function of Sleep Spindles across the Lifespan by Brittany C. Clawson, Jaclyn Durkin, Sara J. Aton

“…Across various developmental windows, spindle activity is correlated with general cognitive aptitude, learning, and memory; however, these correlations vary in strength, and even direction, depending on age and metrics used. …”
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Effectiveness of the Spatial Domain Techniques in Digital Image Steganography by Rosshini Selvamani, Yusliza Yusoff

“…In addition to using statistics as a foundation, convolution neural networks (CNN), generative adversarial networks (GAN), coverless approaches, and machine learning are all used to construct steganographic methods. …”
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The Investigation of the Housing Stock in Turkey and Japan According to the Non-Structural Seismic Risks by Deniz Demirarslan

“…When the damages occurred in Turkey and Japan are examined, which are both located on the significant seismic zones, it is observed that demolition, damage, and injuries are encountered more in Turkey. Learning to live with the earthquakes and designing earthquake resistant buildings have become a lifestyle in Japan. …”
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Barriers and Enablers of AI Adoption in Human Resource Management: A Critical Analysis of Organizational and Technological Factors by Mitra Madanchian, Hamed Taherdoost

“…Change aversion, data security worries, and integration expenses are major roadblocks, but strong digital leadership, company culture, and advancements in NLP and machine learning are key enablers. This paper presents a complex analysis that questions the common perception of AI as only disruptive by delving into the relationship between power dynamics, corporate culture, and technology infrastructures. …”
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Examining Students’ Perceptions of Equity in Informal STEM Education: A Community-Engaged, Visual Method by Karie Jo Peralta, Sloan Eberly Mann

“…Takeaways include that co-researchers perceived students benefiting from social support, community partner presence, and local knowledge being recognized. Lessons learned entail keeping students on track, ensuring that there is enough staff support focused on the evaluation process, and being open to other potential, meaningful uses of co-researchers’ photos.  …”
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The Students’ Reflective Abstraction in Implementing MBKM by Risnina Wafiqoh, Fitri Apriani

“… Learning from the obstacles faced by other universities whose nature is administrative wise, currently questions still arise regarding the implementation of MBKM, which is about how the abilities will be developed by students who take part in the MBKM program, especially their hard skills, Reflective Abstractions. …”
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University STEM Students’ Perceived Challenges During the COVID-19 Pandemic by Yi Ding, Qian Wang, Yingying Yao, Yuwei Liu, Jiayi Wang, Qiong Yu, Emily Marrinan

“…STEM students experienced unique challenges because many had traditional lectures and hands-on learning in laboratories or field settings. This qualitative study aimed to explore STEM university students’ experiences and difficulties perceived during the pandemic. …”
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Fault Prediction of Centrifugal Pump Based on Improved KNN by YunFei Chen, Jianping Yuan, Yin Luo, Wenqi Zhang

“…To effectively predict the faults of centrifugal pumps, the idea of machine learning k-nearest neighbor algorithm (KNN) was introduced into the traditional Mahalanobis distance fault discrimination, and an improved centrifugal pump fault prediction model of KNN based on the Mahalanobis distance is proposed. …”
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Towards Pedestrian Target Detection with Optimized Mask R-CNN by Dong-Hao Chen, Yu-Dong Cao, Jia Yan

“…Aiming at the problem of low pedestrian target detection accuracy, we propose a detection algorithm based on optimized Mask R-CNN which uses the latest research results of deep learning to improve the accuracy and speed of detection results. …”
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Determining The Ripeness Level Of Crystal Guava Fruit Using Backpropagation Neural Network by Shofia Nabila Azzahra, Ahmad Kamsyakawuni, Abduh Riski

“…In classification using Backpropagation Neural Network, the best network model in this study was achieved in the 3 10 4 network architecture with a binary sigmoid activation function, learning rate = 0.3, and batch size = 64. This model produces a loss value of 0.5364 with an accuracy of 0.9 in testing process.…”
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Exploring teachers’ strategies in teaching writing for young learners by Hani Elmahida, Desi Prameli Nia, Titik Komariyah

“…However, teachers must pay attention to three aspects of teaching such as understanding the characteristics of students, developing fun ways of learning, and peer feedback strategies. Teachers must be able to evaluate whether or not the strategy they provide can produce good results. …”
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MUBEM & SAC: STEM Based Science and Nature Camp by Hasan Zuhtu Okulu, Ayse Oguz-Unver, Sertac Arabacioglu

“…The goals of the camp were developing an integrative science perspective in accordance with the nature of STEM education, supporting career choices of participants for STEM fields, experiencing outdoor learning environments and researches with real scientists, internalizing engineering design process by creating artifacts, and comprehending interaction with nature and science. …”
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Rapid and Nondestructive Detection of Proline in Serum Using Near-Infrared Spectroscopy and Partial Least Squares by Kejing Zhu, Shengsheng Zhang, Keyu Yue, Yaming Zuo, Yulin Niu, Qing Wu, Wei Pan

“…With the great advantages of deep learning in feature extraction, near-infrared analysis technology has great potential and has been widely used in various fields. …”
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Overcoming System Complexity using Models and Knowledge Structures. Editorial Introduction to Issue 36 of CSIMQ by Erika Nazaruka, Tarmo Robal

“…Models explicitly represent knowledge of the modeled domain in a form suitable for reasoning about them and learning. Knowledge may be descriptive, structural, procedural, meta-, or heuristic. …”
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