Integrating Historical Awareness into High School History Learning by Bety Diana Serly Hethario, Muhammad Hanif, Johan Setiawan, Ninik Sudarwati

“…This study aims to analyze (1) the reality of history learning, (2) the efforts of teachers in fostering historical awareness in history learning, and (3) the supporting and inhibiting factors in instilling historical awareness through history education. …”
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English-Learning Infants’ Developing Sensitivity to Intonation Contours by Megha Sundara, Sónia Frota

“…In Experiment 2, we showed that unlike 8-month-olds, monolingual English-learning 4-month-olds are unable to distinguish statement and question intonation when they are presented with segmentally varied disyllabic sequences. …”
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Forecasting renewable energy for microgrids using machine learning by Piyumi Sudasinghe, Damayanthi Herath, Isiwara Karunarathne, Hansani Weeratunge, Lahiru Jayasuriya

“…However, the inherent variability of distributed wind and solar generation within microgrids presents operational stability challenges concerning voltage regulation and frequency stability. …”
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Formation of ecological and geographical world outlook in learning geography by Svetlana I. Beketova, Ilgizar T. Gaisin, Elena I. Vlasova

“…It is shown that the purpose of the study of geography in learning the system of geographical knowledge as a component of the scientific world.Disclosed issues of formation of ecological and geographical world as part of the scientific worldview, its structural components: knowledge, ideas, attitudes, beliefs, values. …”
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The Use of Academic Portfolio in the Learning and Assessment of Physics Students by Meng Kay Ling

“…The paper starts with a short introduction of the types of students and the purpose of using academic portfolios in their learning and assessment. Some ideas of how portfolios can be used in the local context will also be discussed. …”
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Optimization of the structure of the learning process under the given constraints by A. A. Lobaty, D. A. Konopacki

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Psychological and pedagogical features of distance learning at a university by F. G. Lovpache, B. K. Pafifova

“…The urgency of the problem is argued by the fact that at present distance learning has become the most demanded and promising form of education. …”
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Navigation strategies in Caenorhabditis elegans are differentially altered by learning. by Kevin S Chen, Anuj K Sharma, Jonathan W Pillow, Andrew M Leifer

“…Learned olfactory-guided navigation is a powerful platform for studying how a brain generates goal-directed behaviors. …”
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Multimodal fusion with relational learning for molecular property prediction by Zhengyang Zhou, Yunrui Li, Pengyu Hong, Hao Xu

“…Furthermore, the reliance on auxiliary modalities poses challenges, as such data is often unavailable in downstream tasks. Here, we present MMFRL (Multimodal Fusion with Relational Learning), a framework designed to address these limitations by leveraging relational learning to enrich embedding initialization during multimodal pre-training. …”
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A School Life from Learning Disability to Giftedness by Sevinç Zeynep Kavruk, Ahmet Bildiren, Tahsin Fırat

“…Introduction: Can a student with learning disability pass the university exam and get into the faculty of medicine? …”
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Deep learning based agricultural pest monitoring and classification by Stella Mary Venkateswara, Jayashree Padmanabhan

“…Therefore, the realm of pest identification and classification requires more advanced and effective techniques. The proposed work presents an innovative automatic approach based on the incorporation of deep learning in smart farming for pest monitoring and classification to tackle this challenge. …”
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Machine learning based on laboratory data for disease prediction by A. V. Gusev, R. E. Novitskiy, A. A. Ivshin, A. A. Alekseev

“…The existing ways of predicting adverse medical outcomes using machine learning methods were considered. Information about the significance of the used laboratory data for constructing high-precision predictive mathematical models is presented.Conclusion. …”
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Robotics in higher education and its impact on digital learning by Patrick Zamora, Alan Lozada, Jorge Buele, Fátima Avilés-Castillo

“…Addressing this gap, the present mini review examines the impact, challenges, and opportunities of this technology in the university setting. …”
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Use of machine learning techniques for modeling of snow depth by G. V. Ayzel

“…In this research we used the daily observational data on the snow cover and surface meteorological parameters, obtained at three stations situated in different geographical regions: Col de Porte (France), Sodankyla (Finland), and Snoquamie Pass (USA).Statistical modeling of the snow cover depth is based on a complex of freely distributed the present-day machine learning models: Decision Trees, Adaptive Boosting, Gradient Boosting. …”
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Examining Environmental Challenges in Relation to Online Distance Learning by Jamaica Noscal, Cynic Tenedero, Rejulios Villenes

“…The power interruptions reduced the willingness of students to develop presentations and prepare for online classes. It also shows that a suffocating environment can make it difficult to stay motivated to complete the tasks assigned in online classes. …”
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MOTIVATION: DOES IT MAKE LANGUAGE LEARNING MORE EFFECTIVE? by Oksana Vysotska, Olena Gryshchenko, Galyna Tsapro

“…To change the situation for the better, language teachers are looking for hidden reserves and resources to make their teaching and, thus, learning more effective. One of them is student motivation to learn languages. …”

Using social robots for language learning: are we there yet? by Huang Guanyu, Moore Roger K.

“…It has also led to a new technology-based field of language education: robot-assisted language learning (RALL). RALL has developed rapidly in second language learning, especially driven by the need to compensate for the shortage of first-language tutors. …”
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Comparative Study of Deep Learning-Based Sentiment Classification by Seungwan Seo, Czangyeob Kim, Haedong Kim, Kyounghyun Mo, Pilsung Kang

“…Herein, we present a comparative study of different deep-learning-based sentiment classification model structures to derive meaningful implications for building sentiment classification models. …”
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Linguistic Strategies of Learning Persian Language to Kurdish Learners by Zahra Ahmad Qadir, Layla Ali Rahman

“…                   The present study is entitled "Linguistic Strategies of Learning Persian Language to Kurdish Learners". …”
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An Overview of Deep Neural Networks for Few-Shot Learning by Juan Zhao, Lili Kong, Jiancheng Lv

“…Recent advancements in deep learning have led to significant breakthroughs across various fields. …”
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