Effectiveness of Motivational Intervention Based on Mind Set on Academic Procrastination and Learned Helplessness by maryam sanami, ali taghvaeinya, fariborz nikdel

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Problem-Based Learning in Pharmaceutical Education: A Systematic Review and Meta-Analysis by Tais F. Galvao, Marcus T. Silva, Celiane S. Neiva, Laura M. Ribeiro, Mauricio G. Pereira

“…To assess the effects of problem-based learning (PBL) on the learning achievements of pharmacy students. …”
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USING TECHNOLOGY ACCEPTANCE MODEL TO ANALYSE THE SUCCESSFUL CROWDFUNDING LEARNING GAME CAMPAIGNS by Hong Huang, Han Yu, Wanwan Li, Jinxuan Ma

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Perovskite Solar Cell: Chemical Composition and Bandgap Energy via Machine Learning by Filipi França dos Santos, Kelly Cristine Da Silveira, Gesiane Mendonça Ferreira, Daniella Herdi Cariello, Mônica Calixto de Andrade

“…By deploying machine learning algorithms, this work paves the way for targeted optimizations and considerable strides in the manufacturing of perovskite-based photovoltaic cells. …”
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Validation of deep-learning accelerated quantitative susceptibility mapping for deep brain nuclei by Ying Zhou, Ying Zhou, Lingyun Liu, Shan Xu, Yongquan Ye, Ruiting Zhang, Minming Zhang, Jianzhong Sun, Peiyu Huang

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‘Ulamā’ and the Formation of Islamic Knowledge: Learning from Two Historical Experiences in Sumatra by Jajat Burhanudin

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The Role of Artificial Intelligence in the Future of Language Teaching and Learning Practices in Higher Education by Job W. Mwakapina

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Enhancing Pan evaporation predictions: Accuracy and uncertainty in hybrid machine learning models by Khabat Khosravi, Aitazaz A. Farooque, Amir Naghibi, Salim Heddam, Ahmad Sharafati, Javad Hatamiafkoueieh, Soroush Abolfathi

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Developing 21st Century Chemistry Learning through Designing Digital Games by Ah-Nam Lay, Kamisah Osman

Subjects: “…Chemistry learning…”
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Deep Learning- and Word Embedding-Based Heterogeneous Classifier Ensembles for Text Classification by Zeynep H. Kilimci, Selim Akyokus

“…The use of ensemble learning, deep learning, and effective document representation methods is currently some of the most common trends to improve the overall accuracy of a text classification/categorization system. …”
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The performance of a machine learning model in predicting accelerometer-derived walking speed by Aleksej Logacjov, Tonje Pedersen Ludvigsen, Kerstin Bach, Atle Kongsvold, Mats Flaaten, Tom Ivar Lund Nilsen, Paul Jarle Mork

“…The aim of this study was to develop and evaluate the performance of a machine learning classifier in predicting slow (≤4 km/h), moderate (4.1–5.4 km/h), and brisk (≥5.5 km/h) walking speeds in adults based on dual and single accelerometer set-ups. …”
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A model-free method to learn multiple skills in parallel on modular robots by Fuda van Diggelen, Nicolas Cambier, Eliseo Ferrante, A. E. Eiben

“…Empirical validation in six different robot morphologies demonstrates that our method enables robots to learn primary locomotion skills in less than 15 minutes in the real world. …”
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Designing Management Methods in Elementary School by Creating Enthusiasm to Promote Learning in Students by Samaneh Hoseinpoorian Chabok

“…Methodology: Current research addresses studies in psychology, happiness, and students' physical and psychological needs, in addition to a literature review and a necessity for a refreshing school environment by library and field study and content analysis methods.Findings: The inefficiency of educational spaces and inappropriate management functions in happiness and cheerfulness creation among the students to better learning caused this research to design educational space by utilizing principal management approaches and compatible design elements in schools.Originality/Value: Educational environments are the most crucial supplier spaces for society's qualitative power and play an essential role in the interaction of humans from mental and psychological perspectives. …”
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Novel transfer learning approach for hand drawn mathematical geometric shapes classification by Aneeza Alam, Ali Raza, Nisrean Thalji, Laith Abualigah, Helena Garay, Josep Alemany Iturriaga, Imran Ashraf

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Tracing COVID-19 cluster during offline learning in the new era of pandemic by Maria Mardalena Martini Kaisar, Helen Kristin, Tria Asri Widowati, Clarissa Rachel, Anastasia Hengestu, Sem Samuel Surja, Soegianto Ali

“… Since January 2022, offline learning in the COVID-19 pandemic era has been going on for nearly a year. …”
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Solar Irradiance Prediction for Zaria Town Using Different Machine Learning Models by Ibrahim Abdulwahab, Sulaiman Haruna Sulaiman, Umar Musa, Ibrahim Abdullahi Shehu, Abdullahi Kakumi Musa, Ismaila Mahmud, Mohammed Musa, Abdullahi Abubakar, Abdulrahman Olaniyan

Subjects: “…Machine Learning, Renewable Energy, Solar Irradiance, Weather Prediction.…”
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What drives the profitability of banking sectors in the European Union? The machine learning approach by Bernardelli Michał, Korzeb Zbigniew, Niedziółka Paweł

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Indicator Selection for Topic Popularity Definition Based on AHP and Deep Learning Models by Yuling Hong, Qishan Zhang

“…Moreover, its future popularity can be predicted by deep learning methods. At the same time, a new application field of deep learning technology has been further discovered and verified. …”
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Effectiveness of combining two-way evaluation and transposition learning method in resident teaching by Li-Na Yang, Yu Du, Jia-Cen Li, Wen-Jie Su

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Innovative gamification strategies to improve student learning outcomes in vocational high schools by Muhammad Iqbal Faza, Ranu Iskandar, Rizqi Fitri Naryanto

Subjects: “…gamification, learning outcomes, learning media, wheels and tires…”
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