Ensemble Classifiers for Arabic Sentiment Analysis of Social Network (Twitter Data) towards COVID-19-Related Conspiracy Theories by Abdullah Al-Hashedi, Belal Al-Fuhaidi, Abdulqader M. Mohsen, Yousef Ali, Hasan Ali Gamal Al-Kaf, Wedad Al-Sorori, Naseebah Maqtary

“…This study proposes a machine learning model to analyze the Arabic tweets from Twitter. …”
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Comparison of Pre-Service Physics Teachers’ Conceptual Understanding of Dynamics in Model-Based Scientific Inquiry and Scientific Inquiry Environments by Arzu Arslan-Buyruk, Feral Ogan-Bekiroglu

“…Finally, model quality may stimulate science learning; however, more research is needed to extend this conclusion. …”
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A New Preprocessing Method for Diabetes and Biomedical Data Classification by Sarbast CHALO, İbrahim Berkan AYDİLEK

“…Several different types of machine learning classifiers, such as KNN, J48, RF, and DT, were utilized in the experimental findings of biological datasets. …”
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Loss Architecture Search for Few-Shot Object Recognition by Jun Yue, Zelang Miao, Yueguang He, Nianchun Du

“…We conduct experiments on three popular datasets for few-shot learning. The results show that the proposed approach achieves better performance than state-of-the-art methods.…”
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Designing an effective educational toy: incorporating design-thinking in the design classroom by Natalie Houston, Ferney Manrique, Shi Mo, Wang Ruoqian, Ji Wenjing, Lu Yuting

“…Abstract “Designing an effective educational toy” is a research project that emerged from a teaching and learning course designed to facilitate creative engagement both inside and outside the classroom at Wenzhou-Kean University in China. …”
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Coincidence Detection Using Spiking Neurons with Application to Face Recognition by Fadhlan Kamaruzaman, Amir Akramin Shafie, Yasir M. Mustafah

“…Synaptic time constant τs is used as learning parameter in representing the variations learned from a set of training data at classifier level. …”
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Penanaman Nilai Agama dan Moral Melalui Metode Cerita Bergambar pada Anak Usia 4-5 Tahun di Kober Sriwijaya Sadar Sriwijaya by Munayah Munayah

“…The results of the research show that the singing method used by children at Baitul Ilmi PAUD in learning activities is improving. Recognizing letters and numbers is improving, so that children don't get bored easily following lessons, don't chat alone, remember and memorize quickly and teachers can make the singing method an alternative model or strategy in learning. …”
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Application of Feature Selection Based on Elastic Network and Random Forest in the Evaluation of Sports Effects by Lina Ren, Shen Cao

“…With the rapid development of data mining and machine-learning technology and the outbreak of big sports data mining development challenges, sports data mining cannot simply use data statistical methods such as how to combine machine learning and data mining technology for effective mining and analysis of sports data, to provide useful advice for public physical exercise, and this is an urgent need to study. …”
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Engineering Pedagogy as the Basis for Effective Teaching Competencies of Engineering Faculty by T. Rüütmann

“…The most effective ground of pedagogical continuing education of engineering faculty is Engineering Pedagogy Science, which offers suitable and relevant didactic models for insurance of effective teaching and learning and integrated course design based on informed decisions, learning analytics, reflection and metacognition.…”
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Prediction of Sonic Log Values Using a Gradient Boosting Algorithm in the 'AB' Field by Rasif Nahari, Utama Widya, Ardhya Garini Sherly, Fitri Indriani Rista, Pratama Novian Putra Dhea

“…To address missing data, machine learning algorithms, like gradient boosting, provide an effective solution. …”
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An in‐depth study of the effects of methods on the dataset selection of public development projects by Can Cheng, Bing Li, Zengyang Li, Peng Liang, Xu Yang

“…The results show that (1) to select PDPs or DPDPs with a high precision, the base line method is the best with precision of 0.877 (PDPs) and 0.831 (DPDPs); (2) to select PDPs or DPDPs with a high F‐measure, the machine learning methods are the best, with F‐measure of 0.817 (PDPs) and 0.789 (DPDPs); (3) existing sample selection strategies can be combined with the machine learning methods, and the precision of selecting PDPs can be increased by 6.39%–41.33% and the precision of selecting DPDPs can be can be increased by 35.50%–269.02%.…”
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Hypertension Detection Using Passive-Aggressive Algorithm With The PA-I And PA-II Methods by M. Hafidz Ariansyah, Sri Winarno

“…This algorithm can work well for learning by transforming data and dealing with unbalanced classification problems. …”
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AN APPLICATION OF A CULTURALLY RESPONSIVE TEACHING (CRT) APPROACH TO DRAMA TEACHING BASED ON LOCAL WISDOM: A STUDY AMIDST THE NEW NORMAL CONDITION OF THE COVID-19 PANDEMIC by Alfriani Ndandara, Erny S.N. Hambandima

“…It is hoped that this research will produce a learning framework that integrates elements of local culture for teaching drama. …”
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Enhancing Classification Models With Sophisticated Counterfactual Images by Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

“…This causes deep learning models to learn incorrect relationships between features when using these training data. …”
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Dropping out of learners with hearing impairment from inclusive classes in urban schools in Bulawayo by Loveness Dube

“…In addition, supervision, monitoring, support from parents, and evaluation of the system should be done to facilitate the learning of learners with hearing impairment in inclusive classes.…”
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REPRESENTATION OF MUTUAL TERMS AND RESEARCH SKILLS TOWARDS GRADE POINT AVERAGE: EXPLORATION STUDY by Hasan Subekti, Wachidatul Linda Yuhanna, Herawati Susilo, Ibrohim Ibrohim, Hadi Suwono

“…Based on the investigation, it is expected to provide benefits as one of the considerations for the selection and determination of learning mods related to learning. It is expected to be useful as a consideration for the selection and determination of study-related modes for improvement.…”
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Refining the prediction of user satisfaction on chat-based AI applications with unsupervised filtering of rating text inconsistencies by Hae Sun Jung, Jang Hyun Kim, Haein Lee

“…Subsequently, the authors conduct supervised sentiment analysis using various machine learning and deep learning algorithms. The experimental results confirm the effectiveness of the proposed approach showing improvement in prediction accuracy with cost efficiency. …”
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Exploring the Teaching Mode of English Audiovisual Speaking in Multimedia Network Environment by Shunlan Wang

“…Computers have been widely used in language evaluation and speech recognition for language learning, and speech recognition technology is an important reflection of the level of language learning. …”
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Exploring the role of reflective teaching in professional growth: insights from Vietnamese tertiary EFL educators by Pham Trut Thuy, Tran Thi Thuy, Le Thanh Thao

“…Reflective teaching is essential in continuously improving teaching methodologies and fostering a deeper understanding of instructional practices and student learning. Moreover, reflective teaching, a critical self-assessment methodology, is increasingly recognized as pivotal in adapting and enhancing teaching strategies in diverse educational environments. …”
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Early Determinants of Intergenerational Upward and Downward Educational Mobility by Markus P. Neuenschwander, Lukas Ramseier, Ariana Garrote

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