Epistemological learning obstacles on fractions in elementary school by Een Unaenah, Didi Suryadi, Turmudi Turmudi

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Evaluation of learning during the COVID-19 pandemic by Fitriani Sabila, Naureza Rania Shafa, Nisrina Kurnia Maharani, Sadam Mochammad Rashad, Theitsar Syakhisksar Rohim Permana, Lien Halimah

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Learning During Coronavirus: “The Masque of the Red Death” by Jon Beasley-Murray

“…I ask what it means to read with children, and to learn from the ways in which children read. I suggest that, among other things, this involves reading more literally and less for metaphors and symbols or the other paraphernalia that tend to be features of formal teaching of literature in schools. …”
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Part of Speech Tagging: Shallow or Deep Learning? by Robert Östling

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The Recognition of Action Idea EEG with Deep Learning by Guoxia Zou

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Memristor-based feature learning for pattern classification by Tuo Shi, Lili Gao, Yang Tian, Shuangzhu Tang, Jinchang Liu, Yiqi Li, Ruixi Zhou, Shiyu Cui, Hui Zhang, Yu Li, Zuheng Wu, Xumeng Zhang, Taihao Li, Xiaobing Yan, Qi Liu

“…Abstract Inspired by biological processes, feature learning techniques, such as deep learning, have achieved great success in various fields. …”
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Arduino based platform for process control learning by Bruna Couto Molinar Henrique, Leonardo Couto Molinar Henrique, Humberto Molinar Henrique

“…In addition, the instrumentation is simple to configure with acceptable level noise and particularly useful for control/automation learning with educational purposes. …”
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MASSIVE, OPEN, ONLINE: LEARNING PARALLEL OR TOGETHER? by Ivan Yu. Travkin

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Object detection and multimodal learning for product recommendations by Karolina Selwon, Paweł Wnuk

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Blended Distance Learning: Search for an Optimal Format by I. V. Tsarenko

Subjects: “…blended learning distance learning…”
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Federated learning assisted distributed energy optimization by Yuhan Du, Nuno Mendes, Simin Rasouli, Javad Mohammadi, Pedro Moura

“…This paper specifically focuses on integrating federated learning (FL) with the multi‐agent energy management procedure. …”
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Investigating the Effect of Virtual Education on Students' Learning by Malihe Niksirat

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Didactic aspects about the abilities as learning content. by Luis Alberto Corona Martinez, Mercedes Fonseca Hernández.

“…This article includes a review aimed at strengthen the theoretical basis of medicine professors regarding the most important didactic aspects related with abilities and its acquisition in the teaching-learning process. In addition to the conceptual analysis, it is important to take into account many psychological and methodological elements that are indispensable to create and develop abilities.…”
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Learning context invariant representations for EEG data by Thibault de Surrel

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Research of the object-oriented programming learning environment by Joana Lipeikienė, Kristina Kalpaitė, Aušra Kluonytė

“… Research and results of the use of C++ Learning Environment for teaching at Vilnius Pedago­gical University are described in this paper. …”
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Reinforcement Learning Based Artificial Immune Classifier by Mehmet Karakose

“…Artificial immune systems based on natural immunity system can be successfully applied for classification, optimization, recognition, and learning in real-world problems. In this study, a reinforcement learning based artificial immune classifier is proposed as a new approach. …”
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Unified blended learning environment: the Kazakhstani context by S. M. Bakhisheva, E. V. Tikhonyuk, Z. G. Mukhtar, R. S. Kinzhekova, A. M. Kemeshova

Subjects: “…blended learning…”
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Differentiation of Learning Achievement Towards Children's Behavior by Saipul Hadi

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Using TIMSS and PIRLS to improve teaching and learning by Ina V.S. Mullis, Michael O. Martin

“…TIMSS collects extensive data about the mathematics and science curricula in the participating countries, as well as the characteristics of effective schools and classroom environments for learning. Participating countries use the results in various ways to explore educational issues, and several examples will be described.…”
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Intelligent Transportation Design Based on Iterative Learning by Yinpu Ma, Kai Liu

“…Based on the massive data contained in the urban traffic system and the repetitive characteristics of traffic flow, this paper proposes a hierarchical traffic signal control method for urban road network based on iterative learning control. The simulation results show that the algorithm can achieve better control effect and can solve the problem of urban traffic congestion more effectively than traditional traffic control methods.…”
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