Editorial: Actionable learning analytics in education: an opportunity to close the learning loop by JohnPaul Kennedy, JohnPaul Kennedy, Florence Gabriel, Florence Gabriel, Malgorzata Korolkiewicz, Malgorzata Korolkiewicz, Irina Rets, Bart Rienties

Subjects: “…actionable learning analytics…”
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A conceptual learning analysis of paired after action and intra action reviews for health emergencies by Elliot Brennan, Seye Abimbola

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Privacy-Preserving Machine Learning (PPML) Inference for Clinically Actionable Models by Baris Balaban, Seyma Selcan Magara, Caglar Yilgor, Altug Yucekul, Ibrahim Obeid, Javier Pizones, Frank Kleinstueck, Francisco Javier Sanchez Perez-Grueso, Ferran Pellise, Ahmet Alanay, Erkay Savas, Cetin Bagci, Osman Ugur Sezerman

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ACTION: Augmentation and computation toolbox for brain network analysis with functional MRI by Yuqi Fang, Junhao Zhang, Linmin Wang, Qianqian Wang, Mingxia Liu

“…In this work, we develop an open-source toolbox, called Augmentation and Computation Toolbox for braIn netwOrk aNalysis (ACTION), offering comprehensive functions to streamline fMRI analysis. …”
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Player Performance Analysis in Table Tennis Through Human Action Recognition by Kangnan Dong, Wei Qi Yan

“…This paper aims to enhance the effectiveness of table tennis coaching and player performance analysis through human action recognition by using deep learning. …”
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Unsupervised Action Anticipation Through Action Cluster Prediction by Jiuxu Chen, Nupur Thakur, Sachin Chhabra, Baoxin Li

“…Predicting near-future human actions in videos has become a focal point of research, driven by applications such as human-helping robotics, collaborative AI services, and surveillance video analysis. …”
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Ventricular assist device implantation in children with a mechanical valve: An ACTION registry analysis by Sabena F. Hussain, MD, MSc, Elyse Miller, MD, Othman Aljohani, MBBS, MPH, Scott Auerbach, MD, David Bearl, MD, Victor Benvenuto, MD, Erica Bonura, MD, Richard L. Crawford, Anna Joong, MD, Jameson Dyal, MD, Christina Hartje-Dunn, MD, Sujit Jana, MD, Sonia Kaushal, MD, Melanie Lynn, MD, Joseph Spinner, MD, Laura Radel, MD, Alexander Raskin, MD, Diana Torpoco-Rivera, MD, Sarah J. Wilkens, MD, MPH, Chet R. Villa, MD

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Adaptive circuits for action and value information in rodent operant learning by Alain Rios, Kyohei Fujita, Yoshikazu Isomura, Nobuya Sato

“…Operant learning is a behavioral paradigm where animals learn to associate their actions with consequences, adapting their behavior accordingly. …”
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The analysis of motion recognition model for badminton player movements using machine learning by Xuanmin Zhu, Lizhi Liu, Jingshuo Huang, Genyan Chen, Xi Ling, Yanshuo Chen

“…Abstract This study aims to comprehensively analyze and classify the badminton players’ swing actions by combining the theoretical frameworks of quantum mechanics and machine learning. …”
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Deep learning-based recognition model of football player’s technical action behavior using PCA–LBP algorithm by Hongtao Chen, Zhengbai Lin, Quan Xu

Subjects: “…Deep learning…”
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A machine learning framework to measure Water Drop Penetration Time (WDPT) for soil water repellency analysis by Danxu Wang, Emma Regentova, Venkatesan Muthukumar, Markus Berli, Frederick C. Harris, Jr.

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Empower instructors with actionable insights: Mine and visualize student written feedback for instructors’ reflection by Feng Lin, Chenchen Li, Rebekah Wei Ying Lim, Yew Haur Lee

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Wild ActionFormer: Enhancing wildlife action recognition for 11 endangered species in Wolong by Dan Liu, Qianqian Sun, Jin Hou, Bochuan Zheng, Jindong Zhang, Desheng Li, Tomas Norton, Jifeng Ning

“…This study focuses on 11 endangered wild animal species videos in the Wolong Nature Reserve and develops a video self-supervised learning-based animal action recognition network—Wild ActionFormer, to achieve automated analysis of wild animal action classes. …”
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Developing an Organization’s Corporate Knowledge Through Action-based Learning Technologies by T. V. Aleksandrova, V. L. Popov

“…The paper explores the impact of learning technologies on the development of the corporate knowledge base of modern organizations. …”
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SVM directed machine learning classifier for human action recognition network by Dharmanna Lamani, Pramod Kumar, A Bhagyalakshmi, J. Maria Shanthi, Lakshmana Phaneendra Maguluri, Mohammad Arif, C Dhanamjayulu, Sathish Kumar. K, Baseem Khan

“…Abstract Understanding human behavior and human action recognition are both essential components of effective surveillance video analysis for the purpose of guaranteeing public safety. …”
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Video Abnormal Action Recognition Based on Multimodal Heterogeneous Transfer Learning by Hong-Bo Huang, Yao-Lin Zheng, Zhi-Ying Hu

“…Moreover, our framework contributes to the advancement of automatic video analysis and abnormal action recognition, providing insights for the application of multimodal methods in a broader context.…”
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Action Recognition in Videos through a Transfer-Learning-Based Technique by Elizabeth López-Lozada, Humberto Sossa, Elsa Rubio-Espino, Jesús Yaljá Montiel-Pérez

“…In computer vision, human action recognition is a hot topic, popularized by the development of deep learning. …”
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Stimulating innovative learning practices with tech: artefacts influence learners’ actions by Shubashini Velu, Ishraat Saira Wahid, Kayalvily Tabianan

“…Students’ innovative learning experiences are defined by their independence and are facilitated by tangible actions. …”
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Measuring what matters: Building impact pathways to actionable information for the weADAPT platform by S. Bharwani, K. Williamson, R. Butterfield

“…The potential of online knowledge platforms to support urgent climate action is increasingly recognized; however, their effectiveness is often hindered by the fragmentation and overabundance of information, which can impede learning and contribute to misinformation, redundancy, and erosion of trust. …”
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Stability Analysis of Batch Offline Action-Dependent Heuristic Dynamic Programming Using Deep Neural Networks by Timotei Lala

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