Learning Craft From Children’s Authors by Sarah Dyer

“…Though some of the steps I offer seem obvious, I collect them to support new scholars in efficiently writing an essay and to support them in unlocking a way to learn from children’s authors. …”
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European experience of public management of energy efficiency and energy saving in the field of housing and communal economy by D.V. Bizonych

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Backtracking Restarts for Deep Reinforcement Learning by Zaid Khalil Marji, John Licato

“…Manipulating the starting states of a Markov Decision Process to accelerate the learning of a deep reinforcement learning agent is an idea that has been proposed in several ways in the literature. …”
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English Language Learning through Games by Muqdad Al-karawi

“…This implies that both first and second or foreign languages are learned in the same way. They say, learning languages irrespective of whether they are first, second, third, or nth follows the same steps. …”
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Pressure swing adsorption process modeling using physics-informed machine learning with transfer learning and labeled data by Zhiqiang Wu, Yunquan Chen, Bingjian Zhang, Jingzheng Ren, Qinglin Chen, Huan Wang, Chang He

“…This study presents a systematic physics-informed machine learning method that integrates transfer learning and labeled data to construct a spatiotemporal model of the PSA process. …”
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A Comparative Study of Transfer Learning and Fine-Tuning Method on Deep Learning Models for Wayang Dataset Classification by Ahmad Mustafid, Muhammad Murah Pamuji, Siti Helmiyah

“…In this paper, We tried proposing some steps and techniques on how to classify the characters and handle the issue on a small wayang dataset by using model selection, transfer learning, and fine-tuning to obtain efficient and precise accuracy on our classification problem. …”
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A comparative study of machine learning and deep learning models in binary and multiclass classification for intrusion detection systems by Ayesha Alharthi, Meera Alaryani, Sanaa Kaddoura

“…This study evaluates and compares the performance of machine learning (ML) and deep learning (DL) models for network intrusion detection. …”
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LEARNING INNOVATION: APPLICATION OF DISCOVERY LEARNING-BASED WORKSHEETS TO SHARPEN STUDENTS’ COLLABORATION SKILLS ON HYDROELECTRIC POWER PLANTS by Ihza Rizky Winedar, Habibatul Unayah, Muhammad Rasyid, Jumadi Jumadi, Sabar Nurohman

“…This study aims to analyze the effect of discovery learning on improving students' collaboration skills in studying alternative energy sources, mainly hydropower. …”
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Investigating Transfer Learning in Noisy Environments: A Study of Predecessor and Successor Features in Spatial Learning Using a T-Maze by Incheol Seo, Hyunsu Lee

“…Adaptation is evaluated by analyzing the hyperparameters of cumulative reward, step length, adaptation rate, and adaptation step length and the relationships between them using Spearman’s correlation tests and linear regression. …”
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A stepped wedge cluster randomized implementation trial to increase outpatient management of low-risk pulmonary embolism from the emergency department – the MEDIC ALERT PE study by Shawna N. Smith, Colin F. Greineder, Joshua Errickson, Jessica Burns, F Jacob Seagull, Keith E. Kocher, Jeffrey A. Kline, Jeffrey T. Kullgren, Michael S. M. Lanham, Sarah L. Krein, Geoffrey D. Barnes

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Utilizing machine and deep learning algorithms to identify learning-related features in electroencephalography data during second language acquisition by Talal A. Aldhaheri, Sonali B. Kulkarni, Pratibha R. Bhise, Mohammed Tawfik

“…This study investigates EEG-based neurolinguistic patterns during the process of learning Arabic and Hindi as second languages. EEG data were collected from 10 participants (6 males and 4 females; M = 34.1, SD = 4.7 years) engaged in language acquisition tasks, and the signals underwent preprocessing steps, including noise removal, independent component analysis (ICA), and spectral feature extraction. …”
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‘Assessment as learning’ in science instruction: a case study of Indonesian science teachers and notion for optimising in teaching and learning process by Didik Setyawarno, Dadan Rosana, Heru Kuswanto

“…‘Assessment as Learning’ (AaL) emphasizes the role of feedback in fostering students’ metacognitive development. …”
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Machine learning for the rElapse risk eValuation in acute biliary pancreatitis: The deep learning MINERVA study protocol by Mauro Podda, Adolfo Pisanu, Gianluca Pellino, Adriano De Simone, Lucio Selvaggi, Valentina Murzi, Eleonora Locci, Matteo Rottoli, Giacomo Calini, Stefano Cardelli, Fausto Catena, Carlo Vallicelli, Raffaele Bova, Gabriele Vigutto, Fabrizio D’Acapito, Giorgio Ercolani, Leonardo Solaini, Alan Biloslavo, Paola Germani, Camilla Colutta, Savino Occhionorelli, Domenico Lacavalla, Maria Grazia Sibilla, Stefano Olmi, Matteo Uccelli, Alberto Oldani, Alessio Giordano, Tommaso Guagni, Davina Perini, Francesco Pata, Bruno Nardo, Daniele Paglione, Giusi Franco, Matteo Donadon, Marcello Di Martino, Dario Bruzzese, Daniela Pacella

“…The MINERVA study aims to develop and validate a machine learning (ML) model to predict the risk of RAP (at 30, 60, 90 days, and at 1-year) in MABP patients, enhancing decision-making processes. …”
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LOGICAL AND COMPETENCY APPROACH IN LEARNING SPORTS DISCIPLINES by Yury D. Ovchinnikov

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Transcontextual learning, warm data and unforeseen connections by Robert Van Hennik

“…People concerned explore how they collaboratively, trans-contextually learn, step by step, stumbling, and feedback informed, in complex systems, within multiple contexts. …”
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Transcontextual learning, warm data and unforeseen connections by Robert Van Hennik

“…People concerned explore how they collaboratively, trans-contextually learn, step by step, stumbling, and feedback informed, in complex systems, within multiple contexts. …”
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Discovering and Exploiting Skills in Hierarchical Reinforcement Learning by Zhigang Huang

“…To behave more like a human, we take a long-term planning perspective to discover and exploit skills (DES) in hierarchical reinforcement learning. We view the skill-learning process as an extension of primitive skills to advanced skills and ensure that they have sufficient exploration capability. …”
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Food safety implementation in the perspective of network learning by Zam-Zam Abdirahman, Leslie D. Bourquin, Loic Sauvee, Deepa Thiagarajan

“…Globally speaking, the objective of these initiatives typically is to develop a step by step approach providing guidance on good practices associated with the implementation of these systems. …”
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Transformative Learning: Narrative Analysis or Analysis of Narratives? by Jane Robertson, James Lappeman

“…Thus, by adding another step in moving from narrative analysis to the analysis of narratives, this paper provides a novel perspective on qualitative research of this nature. …”
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Reinforcement Learning for Guiding the E Theorem Prover by Jack McKeown, Geoff Sutcliffe

“…This work uses reinforcement learn- ing to learn a metaheuristic that decides which heuristic to use at each step of a proof search in the E ATP system. …”
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