PENGEMBANGAN BUKU AJAR KETERAMPILAN MENYIMAK BERBASIS CONTEXTUAL TEACHING AND LEARNING by Lira Hayu Afdetis Mana, Titiek Fujita Yusandra, Atmazaki Atmazaki, Syahrul Ramadhan

“…The effectiveness of textbooks is seen from the results of student activities and learning outcomes. The product was tested on students of the Indonesian Language Study Program at STKIP PGRI West Sumatra and Padang State University. …”
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A hybrid framework of generative deep learning for antiviral peptide discovery by Huynh Anh Duy, Tarapong Srisongkram

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Crafting Design Solutions for Lifelong Learning and Health Promotion in Elderly Communities by Kai-Chieh Lin, Hsiang-Ju Chen, Guan-ying Li

“…Promoting lifelong learning among senior citizens is essential for fostering their confidence and independence. …”
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Machine learning model for random forest acute oral toxicity prediction by A.M. Elsayad, M.M. Zeghid, K.A. Elsayad, A.N. Khan, ِA.K.M. Baareh, A. Sadiq, S.A. Mukhtar, H.F. Ali, S. Abd El-kader

“…The focus of this study is to establish the most efficient method for constructing reliable and precise models for toxicity prediction.METHODS: The random forests were evaluated, a robust ensemble method, for predicting acute oral toxicity using a comprehensive dataset from National Toxicology Program/Interagency Center for the Evaluation of Alternative Toxicological Methods and Environmental Protection Agency/National Center for Competency Testing, which presented significant class imbalance, 8 percent very toxic 92 percent not very toxic. …”
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Online teaching and learning at Chinese universities during COVID-19: Insiders’ perspectives by Youliang Zhang, Yidan Zhu, Tongjie Chen, Tongfei Ma

“…Based on the insiders’ views, the paper suggested that to promote the quality of online education in the post-COVID-19 pandemic, higher education institutes and programs could develop their infrastructure construction, improve teachers’ quality of teaching, and focus on students’ learning motivations.…”
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Probing the impact of the COVID-19 pandemic on government high school students, Nellore, India by Rajalakshmi Sulur Anbalagan, Sreshta Gudugunta Lakshmi, Chudalai Sankali Sowndaram, Balasubramanian Arumugam

“…Through this study, we intended to comprehend and explore the academic crisis of high school students and teachers during the pandemic and examine the learning loss after the reopening of schools.MethodsThis research utilized the conservation of resources theory (CoR) as the conceptual framework to explore the internal and external resources involved in the school sector during the COVID-19 outbreak. …”
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Cloud software code generation via knowledge graphs and multi-modal learning by Fanlong Zhang, Huanming Chen, Quan Chen, Jianqi Liu

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Comparing the Effects of Teaching based on the Learning cycle model, Collaborative method and usual method on the level of Academic Engagement and Attitude towards Learning in Expe... by Hassan Gharibi, Saber Tabarsharafi, Shahin Rahmyan, Saba Shafaeirad

“…It seems that in the collaborative method and the learning cycle, students' cognitive constructions become imbalanced through facing the real problems of the class and pondering over them. …”
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Mapping the tidal marshes of coastal Virginia: a hierarchical transfer learning approach by Zhonghui Lv, Karinna Nunez, Ethan Brewer, Dan Runfola

“…This study leverages the combined capabilities of Sentinel-2 and National Agriculture Imagery Program (NAIP) imagery and a UNet architecture to accurately classify tidal marsh communities. …”
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Recognition of prokaryotic and eukaryotic promoters using convolutional deep learning neural networks. by Ramzan Kh Umarov, Victor V Solovyev

“…Thus, the developed CNN models, implemented in CNNProm program, demonstrated the ability of deep learning approach to grasp complex promoter sequence characteristics and achieve significantly higher accuracy compared to the previously developed promoter prediction programs. …”
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The results of using machine learning technology for intraocular lenses optical power calculation by A.A. Arzamastsev, O.L. Fabrikantov, S.V. Belikov, N.A. Zenkova

“…The dataset included 455 depersonalized records of patients (26 columns of input factors and one column – output factor – calculation of IOL (dptr). For convenient construction of ANN models, a simulator program previously developed by the authors and Python language tools in the Google Colaboratory were used. …”
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The use of machine learning methods in the development of nasal dosage forms with cerebroprotective action by B. S. Burlaka, I. F. Bielenichev

“…The methods employed were a set of methods for binary classification of machine learning (pycaret.org) using the programming language Python 3.8 (python.org) in the package management environment Miniconda (conda.io). …”
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From Reductionist Skills to Meaningful Learning: Trust and Humility in Bedside Cardiac Assessment by Meisel JL, Navedo DD, Opole IO, Cohen GM, Bernard SA, Carmona H, Nahas AH, Eiduson CM, Papps N

“…We are studying the curriculum’s effects on BCA-related knowledge, skills, and attitudes and trust-worthiness as a learning construct. Research opportunities include impacts on humility, patient-centeredness, and PIF. …”
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Leveraging historical datasets to quantify the recovery of an impaired stream entering Yellowstone National Park by Andrew M. Ray, Alysa M. Yoder, Brian D. Ertel, Tom H. Henderson, Christopher A. Mebane

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Entry Into Valhalla: Contextualising The Learning of Legal Ethics Through the Use of Second Life Machinima by Des Butler

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Teaching and learning process for mathematization activities: The case of solving maximum and minimum problems by Al Jupri, Dian Usdiyana, Ririn Sispiyati

“…To reach this aim, this qualitative study was conducted through an observation of the learning and teaching process, including the formative written assessment, for the case of maximum and minimum problems, involving 19 students of mathematics education program. …”
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Deep learning quantifies pathologists’ visual patterns for whole slide image diagnosis by Tianhang Nan, Song Zheng, Siyuan Qiao, Hao Quan, Xin Gao, Jun Niu, Bin Zheng, Chunfang Guo, Yue Zhang, Xiaoqin Wang, Liping Zhao, Ze Wu, Yaoxing Guo, Xingyu Li, Mingchen Zou, Shuangdi Ning, Yue Zhao, Wei Qian, Hongduo Chen, Ruiqun Qi, Xinghua Gao, Xiaoyu Cui

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Contrail altitude estimation using GOES-16 ABI data and deep learning by V. R. Meijer, V. R. Meijer, S. D. Eastham, S. D. Eastham, S. D. Eastham, I. A. Waitz, S. R. H. Barrett, S. R. H. Barrett

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Enhancing Feedback Quality at Scale: Leveraging Machine Learning for Learner-Centered Feedback by Ahmad Ari Aldino, Yi-Shan Tsai, Rafael Ferreira Mello, Dragan Gašević, Guanliang Chen

“…Employing a range of machine learning and deep learning techniques, including Random Forest, XGBoost, BERT, and GPT-3.5, we systematically investigated the effectiveness of different approaches for constructing classifiers to accurately categorize feedback into various learner-centered components. …”
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APPROACH TO BUILDING A GLOBAL MOBILE AGENT WAY BASED ON Q-LEARNING by Vitalii Martovytskyi, Oleksandr Ivaniuk

“…The following methods are used: graph theory, queuing theory, Markov decision-making process theory and mathematical programming methods. The research is based on scientific articles and other materials from foreign conferences and archives in the field of machine learning, deep learning and deep reinforcement learning. …”
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