Comparison of the Effectiveness of Time Management Training, Motivational Strategies, and Self-Regulated Learning Strategies Training on Female Senior Elementary School Students’ Academic Self-Concept by Zahra Salmani, Ali Mehdad, Mohammad Ali Nadi Khorasgan

“…The results showed that time management training, motivational strategies, and self-regulated learning strategies was effective on increasing academic self concept) p<0/05), and according to the Bonferroni test, no significant difference was observed between the effectiveness of the packages (p>0/05). …”
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How Did the COVID-19 Pandemic Affect Higher Education Learning Experience? An Empirical Investigation of Learners’ Academic Performance at a University in a Developing Country by Ghada Refaat El Said

“…In addition, the unplanned and rapid move to online distance learning at the time of pandemic did not result in a poor learning experience as was expected. …”
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A Web-Based Programme for Person-Centred Learning and Support Designed for Preschool Children with Long-Term Illness: A Pilot Study of a New Intervention by Anna-Lena Hellström, Agneta Simeonsdotter Svensson, Ingrid Pramling Samuelsson, Margaretha Jenholt Nolbris

“…This study describes a new concept for supporting children, person-centred web-based learning and support, which has been tested in 12 preschool children and incorporates learning about feelings, relationships, and the right to integrity. …”
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A comprehensive dataset of above-ground forest biomass from field observations, machine learning and topographically augmented allometric models over the Kashmir HimalayaZenodo by Syed Danish Rafiq Kashani, Faisal Zahoor Jan, Imtiyaz Ahmad Bhat, Nadeem Ahmad Najar, Irfan Rashid

“…This dataset provides a manually delineated multi-temporal forest inventory and a comprehensive record of above-ground biomass (AGB) across the Kashmir Himalaya, generated from field observations, advanced remote sensing and machine learning. Data were collected and generated through remote sensing techniques and extensive in-situ measurements of 6220 trees (n=275 plots), including tree diameter at breast height, species composition, and tree density to map forest area and model AGB across varied terrain. …”
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PENGEMBANGAN LEMBAR KERJA PESERTA DIDIK (LKPD) FISIKA BERBASIS ETNOSAINS MENGGUNAKAN MODEL DISCOVERY LEARNING UNTUK MENINGKATKAN KETERAMPILAN BERPIKIR KRITIS SISWA SMA by Liza Septiaahmad, Indra Sakti, Iwan Setiawan

“…Keywords: LKPD, Ethnoscience, Discovery Learning, Critical Thinking Skills…”
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Does Price Really Matter for Generic Alternatives? Supervised learning Approaches in Deciding the Right Price for Acceptable Quality Attributes of Amlodipine Besylate among Generic Alternatives by Laltanpuii Chenkual, Mahindran Mariyappan, Dimple S. Lalchandani, Khajapeer Shaikh, Pavan Kumar Sathala, Pawan Kumar Porwal

“…In this work, machine learning-based classification models were developed with respect to the quality attributes of 258 samples covering 9 marketed amlodipine (AMLO) formulations. …”
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HUBUNGAN MINAT BELAJAR DENGAN HASIL BELAJAR FISIKA MELALUI MODEL PROJECT BASED LEARNING DI KELAS XI MIPA SMAN 6 KOTA BENGKULU by Endah Tri Wahyuningsih, Andik Purwanto, Rosane Medriati

“… Penelitian ini bertujuan untuk menentukan ada tidaknya hubungan signifikan antara minat belajar dengan hasil belajar fisika siswa melalui model Project Based Learning (PjBL) pada siswa kelas XI MIPA SMA Negeri 6 Kota Bengkulu. …”
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PENERAPAN PENDEKATAN STUDENT CENTERED LEARNING (SCL) UNTUK MENINGKATKAN KETERAMPILAN BERPIKIR KREATIF DAN KOMUNIKATIF MAHASISWA PENDIDIKAN FISIKA SEMESTER III UNIVERSITAS BENGKULU by Rosane Medriati, Eko Risdianto

“…Kata kunci: Student Centered Learning (SCL), Keterampilan Berpikir Kreatif, Keterampilan Komunikasi   ABSTRACT   This study aims to describe the improvement of creative thinking skills and communication skills after applying the student centered learning approach to the Physics Learning Strategies Course. …”
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Accurate Modeling of GaN HEMTs Oriented to Analysis of Kink Effects in S₂₂ and h₂₁: An Effective Machine Learning Approach by Zegen Zhu, Gianni Bosi, Antonio Raffo, Giovanni Crupi, Jialin Cai

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The Application of Machine Learning Algorithms to Predict HIV Testing in Repeated Adult Population–Based Surveys in South Africa: Protocol for a Multiwave Cross-Sectional Analysis by Musa Jaiteh, Edith Phalane, Yegnanew A Shiferaw, Refilwe Nancy Phaswana-Mafuya

“…Despite the availability of relevant survey data, there exists a research gap in using machine learning (ML) to analyze and predict HIV testing among adults in South Africa. …”
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Use of Machine Learning to Predict Individual Postprandial Glycemic Responses to Food Among Individuals With Type 2 Diabetes in India: Protocol for a Prospective Cohort Study by Niteesh K Choudhry, Shweta Priyadarshini, Jaganath Swamy, Mridul Mehta

“…Results from our study will generate data to facilitate the creation of machine learning models to predict individual PPGR responses and to facilitate the prescription of personalized diets for individuals with T2D. …”
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Evaluation of learning from Practical Obstetric Multi-Professional Training and its impact on patient outcomes in Australia using Kirkpatrick’s framework: a mixed methods study by Philip DeKoninck, Euan M Wallace, Debra Nestel, Arunaz Kumar, Sam Sturrock, Donna Lucey, Sally Stoyles, Jenny Morgan, Peter Neil, Michelle Schlipalius

“…Participants reported a positive learning experience and increase in confidence in managing emergency obstetric situations through the PROMPT programme, which was perceived as a realistic demonstration of the emergencies.Conclusion Participants reported an improvement of both clinical and non-technical skills highlighting principles of teamwork, communication, leadership and prioritisation in an emergency situation. …”
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LiveDrive AI: A Pilot Study of a Machine Learning-Powered Diagnostic System for Real-Time, Non-Invasive Detection of Mild Cognitive Impairment by Firas Al-Hindawi, Peter Serhan, Yonas E. Geda, Francis Tsow, Teresa Wu, Erica Forzani

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Deep-Learning-Based Reconstruction of Single-Breath-Hold 3 mm HASTE Improves Abdominal Image Quality and Reduces Acquisition Time: A Quantitative Analysis by Felix Kubicka, Qinxuan Tan, Tom Meyer, Dominik Nickel, Elisabeth Weiland, Moritz Wagner, Stephan Rodrigo Marticorena Garcia

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PROJECT BASED LEARNING APPROACH TO IMPROVE STUDENTS’ ABILITY TO WRITE DESCRIPTIVE TEXT (A Classroom Action Research at Grade X SMAN I Bengkulu Selatan) by Vera Maria Shanti, Syahrial ., Irwan Koto

“…It was aimed to explain whether Project Based Learning can improve students’ ability in writing descriptive text and step of Project Based Learning which improved the students’ ability to write descriptive text at grade X of SMAN 1 Bengkulu Selatan in the 2015/2016 academic year. …”
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Predicting unseen chub mackerel densities through spatiotemporal machine learning: Indications of potential hyperdepletion in catch-per-unit-effort due to fishing ground contraction by Shota Kunimatsu, Hiroyuki Kurota, Soyoka Muko, Seiji Ohshimo, Takeshi Tomiyama

“…We developed a spatiotemporal machine learning approach to predict the CPUE values while taking into consideration environmental variables and changes in fish distribution. …”
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Co-optimization of Demand Response Aggregators and distribution system operator for resilient operation using machine learning based wind generation forecasting: A bilevel approach by Farid Hamzeh Aghdam, Aleksandr Zavodovski, Adeleye Adetunji, Mehdi Rasti, Eva Pongracz, Mohammad Sadegh Javadi, João P.S. Catalão

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Serum metabolome associated with novel and legacy per- and polyfluoroalkyl substances exposure and thyroid cancer risk: A multi-module integrated analysis based on machine learning by Fei Wang, Yuanxin Lin, Lian Qin, Xiangtai Zeng, Hancheng Jiang, Yanlan Liang, Shifeng Wen, Xiangzhi Li, Shiping Huang, Chunxiang Li, Xiaoyu Luo, Xiaobo Yang

“…PFHxA and PFDoA exposure associated with increased TC risk, while PFHxS and PFOA associated with decreased TC risk in single compound models (all P < 0.05). Machine learning algorithms identified PFHxA, PFDoA, PFHxS, PFOA, and PFHpA as the key PFAS influencing the development of TC, and mixed exposures have an overall positive effect on TC risk, with PFHxA making the primary contribution. …”
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Using Machine Learning to Predict Progression in the Gastric Precancerous Process in a Population from a Developing Country Who Underwent a Gastroscopy for Dyspeptic Symptoms by Susan Thapa, Lori A. Fischbach, Robert Delongchamp, Mohammed F. Faramawi, Mohammed S. Orloff

“…Method. Using machine learning, we developed prediction models for gastric precancerous progression in a population from a developing country with a high rate of gastric cancer who underwent gastroscopies for dyspeptic symptoms. …”
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The Mediating Roles of Resilience and Flow in Linking Basic Psychological Needs to Tertiary EFL Learners’ Engagement in the Informal Digital Learning of English: A Mixed-Methods Study by Yang Gao, Xiaochen Wang, Barry Lee Reynolds

Subjects: “…informal digital learning of English…”
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