Implementation of Argumentative Driven Inquiry in Science Learning 2009-2023: Bibliometric and Review Analysis by Misbah Misbah, Ida Hamidah, Siti Sriyati, Achmad Samsudin

“…This research examines research trends in applying argumentation-driven inquiry (ADI) in science learning and its potential for future research. A literature review is used in this research method through bibliometric analysis. …”
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Implementation of lesson study based on transcript-based lesson analysis on student learning activity by Puspa Cantika Riana, Syamsurizal Syamsurizal, Haryanto Haryanto

“…The research was conducted to determine the effect of implementing a lesson study based on transcript-based lesson analysis on students' active learning, which was carried out using mixed methods. …”
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Analysis and Strategy to Improve Student Satisfaction on Community Based Learning and Local Potential Methods by Ahmad Thoriq, In In Hanidah, Wahyu Gunawan

“…The research design used in this study was a cross sectional study with a total sample of 133 first-degree students selected using the convenience sampling method. Data on satisfaction and expectations were collected through questionnaires and processed using the Importance Performance Analysis (IPA) and Custumer Satisfaction Index (CSI) which were then analyzed descriptively. …”
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Analysis of Possibilities to Automate Detection of Unscrupulous Microfinance Organizations based on Machine learning Methods by Yu. M. Beketnova

“…The author analysed the data on microfinance institutions published by the Bank of Russia, the MFOs themselves, and banki.ru. …”
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Sex Differences in Intelligence on the WISC: A Meta-Analysis on Children with Specific Learning Disabilities by Lorenzo Esposito, David Giofrè

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Reinforcement learning meets technical analysis: combining moving average rules for optimal alpha by Javier H. Ospina-Holguín, Ana M. Padilla-Ospina

“…A common issue faced by investors who use technical analysis is the reconciliation of conflicting trading signals, especially when these signals are highly correlated, such as those generated by multiple moving averages. …”
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Accelerating Young People's Disaster Literacy With Problem-Based Learning-Root Cause Analysis by Ramdan Afrian, Sugeng Utaya, I Komang Astina, Syamsul Bachri

“…There needs to be a learning model to improve disaster literacy. One of the alternatives is the Problem-based learning model with Root Cause Analysis. …”
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Classification of Multiple Partial Discharge Sources Using Time-Frequency Analysis and Deep Learning by Awad Almehdhar, Radek Prochazka

“…While conventional methods struggle with multi-source PD classification due to signal overlap and noise, this study proposes a hybrid approach combining five time–frequency analysis (TFA) techniques with deep learning (GoogLeNet for simulation, ResNet50 for experiments). …”
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Environmental impacts of economic growth: A STIRPAT analysis using machine learning algorithms by J. Krishnendu, Biswajit Patra

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Optimized hybrid deep learning for cross-linguistic sentiment analysis: a novel approach by Vipin Jain, Lokesh Malviya, Anjana .S

“…However, traditional sentiment analysis methods often struggle with multilingual data due to the complexities of language variations and differences in culture. …”
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High‐Resolution Downscaling of Disposable Income in Europe Using Open‐Source Data by Mehdi Mikou, Améline Vallet, Céline Guivarch, David Makowski

“…However, to rigorously test this hypothesis, fine‐scale spatial income data is needed, compatible with the analysis of extreme climatic events. …”
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Enhancing buckwheat maturity classification with generative adversarial networks for spectroscopy data augmentation by Huihui Wang, Xiaoxue Che, Jiaxuan Nan, Yuyuan Miao, Yaqi Wang, Wuping Zhang, Fuzhong Li, Jiwan Han

“…Four machine learning models were employed in this study: Support Vector Machine (SVM), Random Forest (RF), k-Nearest Neighbors (KNN), and Partial Least Squares Linear Discriminant Analysis (PLS-LDA).Results and DiscussionThe conditional WGAN with the gradient penalty was trained for a range of epochs: 1000, 2000, 8000, 10,000, and 20,000. …”
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Combining Physics and Mathematics Learning: A Taylor Series Analysis of an Oscillating Magnetic Field by S. Ortuño-Molina, A. Garmendía-Martínez, P. Fernández de Córdoba, J. C. Castro-Palacio, J. A. Monsoriu, F. M. Muñoz-Pérez

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Machine Learning with Self-Assessment Manikin Valence Scale for Fine-Grained Sentiment Analysis by Lindung Parningotan Manik, Harry Susianto, Arawinda Dinakaramani, R. Niken Pramanik, Totok Suhardijanto

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Machine learning analysis of greenhouse gas sources impacting Africa’s food security nexus by Adusei Bofa, Temesgen Zewotir

“…Abstract The essential need to identify the most informative sources of greenhouse gas emissions (climate change drivers) impacting the food security nexus in Africa requires a comprehensive and holistic approach. Machine learning method excels in the identification of single-variable importance, our study complements their abilities by deriving principal components using principal component analysis (PCA) to give a significant understanding of the three primary greenhouse gases (carbon dioxide (CO₂), methane (CH₄), and nitrous oxide (N₂O)). …”
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Doing Knowledge Learning Model to Strengthen Media Production Skills: Feasibility Analysis and Implementation by Andi Kristanto, Utari Dewi

“…Pretest and posttest data were analyzed using N-Gain to determine the increase in learning outcomes after implementing the learning model on the trial subjects. …”
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Comparative Analysis of Machine Learning Algorithms With Advanced Feature Extraction for ECG Signal Classification by Tanuja Subba, Tejbanta Chingtham

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Study of a Pathological E-Learning via Content Analysis on the Campus of the University of Tehran by Fatemeh Bahrami, Ali Rashidi

“…In order to analyze the data obtained from the interviews, the content analysis method was used. …”
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Bibliometric Analysis of The Use of Science Learning Media In Elementary Schools During A Decade by Anggun Taruna Puspitasari, Wahono Widodo, Dian Permatasari Kusuma Dayu

“…The data source used is Dimension AI, with the keywords "science learning media" and "primary school," in the publication range from 2014 to 2024. …”
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Research Trends in Project-Based Learning in Elementary Schools (2001-2024): Bibliometric Analysis by Purwandari Purwandari, Farida Huriawati, Viola Dea Amanda Sarry, Ita Susanti

“… Project-Based Learning (PjBL) is an educational method that engages students in completing projects relevant to real-life contexts, fostering critical thinking and problem-solving skills. …”
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