Integrated Learning dalam Perspektif Pendidikan Islam by Lukman Hakim

“…Integrated learning has characteristics: (a) Child-centered (b) Providing direct experience to the child (c) Segregation between fields of study is not clear (d) Presenting concepts from different fields of study in a learning process e) f) Learning outcomes can develop in accordance with the interests and needs of children. …”
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Learning leadership from teaching: emotional competences by A. Bernal, S. Ibarrola-García

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Xynthia: lessons learned from a catastrophe by Etienne Chauveau, Céline Chadenas, Bruno Comentale, Patrick Pottier, Amandine Blanlœil, Thierry Feuillet, Denis Mercier, Laurent Pourinet, Nicolas Rollo, Ion Tillier, Brice Trouillet

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Pre-service English teachers’ learning traits by Óscar Manuel Narváez Trejo, Cliserio Antonio Cruz Martínez, Carolina Reyes Galindo

“…The present study aimed to characterize a comprehensive learning profile of pre-service teachers at an English teacher education programme of a public university in Southeast Mexico. …”
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DESIGNING OF LEARNING ACTIVITY FOR EXPLICATING NATURE OF SCIENCE by Anggiyani Ratnaningtyas Eka Nugraheni, Chokchai Yuenyong

“…This study was aimed at clarifying the learning activities for explicit Nature of Science (NOS) which provide through context based STS (Science, Technology, Society) learning approach. …”
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Machine Learning for FPGA Electronic Design Automation by Armando Biscontini, E. Popovici, A. Temko

“…In the last decades, field-programmable gate arrays (FPGAs) have become increasingly important to the electronics industry, offering higher performance and lower power consumption as transistor technology continues to scale down. Machine learning (ML) algorithms have become pivotal in the electronic design automation (EDA) of FPGAs, enabling the learning of relationships between input and the desired output based on representative data properties rather than physical laws. …”
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Horizontal federated learning and assessment of Cox models by Frank Westers, Sam Leder, Lucia Tealdi

“…We provide an open-source implementation of our approach and present empirical results that demonstrate the accuracy and benefits of federated Cox regression.…”
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Team-Based Learning in Electrical Engineering Classes by Alana de O. Ferro, Márcilio B. Fontes, Denisia de V. Mota, Vanessa S. de C. Texeira, Adson B. Moreira

“…Aiming the training process of engineering students to encompass the development of technical skills, cognitive skills, and methodological skills, the National Curricular Guidelines (DCN) for Engineering courses in Brazil were revised and published to stimulate institutions to adopt active learning methods. This article presents the results of the Team-Based Learning application in the Electrical Machines Classes. …”
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TEACHING-LEARNING AND ASSESSMENT PLAN FOR CHILDREN WITH AUTISM by Nutan Pandey

“…They need specific curriculum, teaching learning strategies based on their paucity and specific assessment method hitting to know whether are they able to run their lives, are they able to learn basic skills which may help them.…”
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Deep Learning Design for Loss Optimization in Metamaterials by Xianfeng Wu, Jing Zhao, Kunlun Xie, Xiaopeng Zhao

“…In this work, we harness the concept of deep learning, combined with the principle of weak interactions in metamaterials, to re-examine and optimize previously validated disordered discrete metamaterials. …”
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Auditory Discrimination Learning: Role of Working Memory. by Yu-Xuan Zhang, David R Moore, Jeanne Guiraud, Katharine Molloy, Ting-Ting Yan, Sygal Amitay

“…Here we present three lines of evidence from healthy adults in support of the idea that the enhanced transfer of auditory discrimination learning is mediated by working memory (WM). …”
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Palm Print Recognition using Deep Learning by Ruaa Sadoon Salman, Mauj Haider AbdAlkreem, Qaswaa Khaled Abood

“…Contrast-limited adaptive histogram equation (CLAHE) is one of the image enhancement methods that can provide bounded segment and region size and is based on deep learning using DenseNet-121. To measure performance, the CASIA dataset was used. …”
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The Contribution of Dynamic Exploration to Virtual Anatomical Learning by Jan-Maarten Luursema, Willem B. Verwey

“…A follow-up study (luursema et al., 2008) found the contribution of computer-implemented stereopsis to this effect to be small but significant. The present experiment investigated the contribution of dynamic exploration to anatomical learning by means of a virtual learning environment. …”
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Distance Learning as an Educational Trend in Higher Education by N. A. Seliverstova, M. G. Solnyshkina

“…This research strategy makes it possible to present distance learning as a modern educational trend. …”
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The impact of semantic clustering on the learning of abstract words by Tomoko Ishii

“…Conversely, visually controlled, semantically related items do not seem to cause confusion. This paper presents the follow-up study, examining the learning of semantically related abstract words that do not have concrete visual images. …”
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Scientific knowledge in pedagogy about learning tools by N. B. Strekalova, A. M. Sanko

“…A scientific review of the problems that are relevant for researchers in the field of education in the last decade is presented. The issues of the content of education and its impact on the surrounding reality were considered by researchers from different fields of scientific knowledge: sociology, cultural studies, history, philosophy, political science, psychology. …”
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Applications of machine learning in acute care research by Ikechukwu Ohu, Paul Kummannoor Benny, Steven Rodrigues, Jestin N. Carlson

“…Artificial intelligence algorithms are currently being applied to enable faster prognosis and diagnosis of diseases and to improve patient outcomes.1,2 Despite the successful application of artificial intelligence, it is still fraught with limitations and “unknowns” pertaining to the fact that a model's accuracy is dependent on the amount of information available for training the model, and the understanding of the complexity presented by current artificial intelligence and machine learning algorithms is often limited in many individuals outside of those involved in the field. …”
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Bare-Bones Teaching-Learning-Based Optimization by Feng Zou, Lei Wang, Xinhong Hei, Debao Chen, Qiaoyong Jiang, Hongye Li

“…In this paper, a new TLBO variant called bare-bones teaching-learning-based optimization (BBTLBO) is presented to solve the global optimization problems. …”
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Computational analysis of learning in young and ageing brains by Jayani Hewavitharana, Kathleen Steinhofel, Karl Peter Giese, Carolina Moretti Ierardi, Amida Anand

“…In this paper, we present a computational analysis focusing on the differences in learning between young and old brains. …”
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Learning and Evolution: Factors Influencing an Effective Combination by Paolo Pagliuca

“…(1) Background: The mutual relationship between evolution and learning is a controversial argument among the artificial intelligence and neuro-evolution communities. …”
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