Learning Curve by Mary Caponegro

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Learning and Memory

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Leveraging opportunities for self-regulated learning in smart learning environments by Idit Adler, Scott Warren, Cathleen Norris, Elliot Soloway

Subjects: “…Smart learning environments…”
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Machine learning approach to student performance prediction of online learning. by Jing Wang, Yun Yu

“…Student performance is crucial for addressing learning process problems and is also an important factor in measuring learning outcomes. …”
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Student’s Learning Profile as a Tool of Personal Learning Logistics by M. E. Kushnir, P. D. Rabinovich, K. E. Zavedenskiy, I. S. Tsarkov

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Online Learning as e-Learning: The Quality and Results (Critical Analysis) by A. V. Dozhdikov

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Federated Learning: A Distributed Shared Machine Learning Method by Kai Hu, Yaogen Li, Min Xia, Jiasheng Wu, Meixia Lu, Shuai Zhang, Liguo Weng

“…Federated learning (FL) is a distributed machine learning (ML) framework. …”
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Advancements in Image Classification: From Machine Learning to Deep Learning by Cheng Haoran

“…Image classification, as an essential task within the realm of computer vision, has evolved from traditional machine learning methods to deep learning techniques. This paper systematically reviews the growth of image classification technology, beginning with the introduction of commonly used datasets such as CIFAR-10, ImageNet, and MNIST, and exploring their impact on algorithm development. …”
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SPECIFICITY OF THE LEARNING PROCESS IN THE OPEN VIRTUAL LEARNING ENVIRONMENTS (VLE) by Nataliya B. Strekalova

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Learning Sciences Perspective on Engineering of Distance Learning. Part 2 by M. A. Tchoshanov

Subjects: “…distance learning…”
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Learning Sciences Perspective on Engineering of Distance Learning. Part 1 by M. A. Tchoshanov

Subjects: “…distance learning…”
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Design of Innovative Non-Routine Learning Strategies in Chemistry Learning by Mujakir Mujakir, Yenni Kurniawati, Safrijal Djamaluddin, Nur Jahan Ahmad

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Skills of learning to learn in medical students from the professor´s perception by Yolanda Cabrera Macias, Annia Esther Vizcaíno Escobar, José Aurelio Díaz Quiñones, Ernesto López Gonzalez, Ernesto López Cabrera, Anaily Puerto Becerra

“…<p><strong>Foundation:</strong> the medical university has among its objectives to develop the self-management of knowledge in students, a purpose that can be achieved by training and developing the skills of learning to learn.<br /><strong>Objective:</strong> to assess the skills formation of learning to learn in medical students at the Medical University of Cienfuegos from the criteria of the professors of the Psychology discipline.…”
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Comparison of the effectiveness of problem based learning (PBL) and project based learning (PjBL) models in the learning process by Herman Darmawan, Faisal Hakti, Rima Damayanti, Muhammad Fikri, Halim Rafi’i

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Hierarchical Learning: A Hybrid of Federated Learning and Personalization Fine-Tuning by Li Shuyi, Zhang Bairong

“…Hierarchical Federated Learning (FL) presents a novel approach that combines global model training with localized personalization fine-tuning to enhance the predictive accuracy of decentralized machine learning systems. …”
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The Development of Learning Environment Based on Learning Materials in EFL Speaking Class by Nyak Mutia Ismail, Marisa Yoestara

Subjects: “…Learning Environment…”
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IMPLEMENTATION OF BLENDED LEARNING MODEL BASED ON NSTU DISTANCE LEARNING SYSTEM by Marina V. Legan, Tatyana A. Yatsevich

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Experience in Assessing Competencies in Self-Regulted Learning in Blended Learning Environments by S. M. Bakhisheva, G. B. Golub, A. M. Kemeshova, Z. G. Mukhtar, J. S. Kazhiakparova

Subjects: “…self-regulated learning…”
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The Navigation of Home Service Robot Based on Deep Learning and Machine Learning by Yupei Yan, Weimin Ma, Sengfat Wong, Xuemei Yin, Qiang Pan, Zhiwen Liao, Xiaoxin Lin

“…This paper discusses how to improve the accuracy of navigation for home service robot based on the deep learning and machine learning. First, the crawling programing is applied to collect enough images of fridge and washing machine on the web; a deep learning framework is proposed that can distinguish fridge and washing machine more accurately. …”
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