The European Union’s Interaction With Other International Actors in Africa at the Present Stage (Case Studies of China and India) by KULKOVA Olga Sergeevna

“…The article is one of the first in the African Studies in Russia, which aim is to analyze the possibilities of cooperation between the European Union and China and India in their African policies at the present stage. The article also explores the prospects and problems for the triangular cooperation between the EU, China/India and various African states. …”
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Removing potential difficulties among students in foreign language classes by Maria Valerievna Volnakova

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Voice Spoofing Detection Through Residual Network, Max Feature Map, and Depthwise Separable Convolution by Il-Youp Kwak, Sungsu Kwag, Junhee Lee, Youngbae Jeon, Jeonghwan Hwang, Hyo-Jung Choi, Jong-Hoon Yang, So-Yul Han, Jun Ho Huh, Choong-Hoon Lee, Ji Won Yoon

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Federated Learning Enhanced MLP–LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

“…Abstract In this study, the research presents the Federated Learning Enhanced Multi-Layer Perceptron (Fed-MLP) Long Short-Term Memory that is suggested by the research. …”
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Why Cooperative Learning? Building Teams that Learn Together Using the Forming – Storming – Norming – Performing Model by Irina Prodan

“…To this end, they will have to be able to identify information on their own and to efficiently work in teams that learn together.…”
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Machine Learning and Deep Learning Models for Demand Forecasting in Supply Chain Management: A Critical Review by Kaoutar Douaioui, Rachid Oucheikh, Othmane Benmoussa, Charif Mabrouki

“…This paper presents a comprehensive review of machine learning (ML) and deep learning (DL) models used for demand forecasting in supply chain management. …”
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When does policy learning lead to policy change? Exploring the causal chain from learning to change by Sandra Plümer

“…Second, it presents a “Typology of Causal Pathways between Learning and Change”, leading to four different learning-induced policy changes. …”
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Exploring foreign language learning and contextualization through digital storytelling projects and personal digital learning narratives by Fidel Çakmak, Alberto Andujar

“…Moreover, the present investigation also directly explored the learning benefits and elements of contextualization derived from maintaining a personal digital learning narrative (PDLN). …”
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Leveraging Asynchronous Online Learning to Deliver Intercultural Learning Outcomes in an EAP Program: Lessons for Future Practice by Michael Henry Landry

“…Drawing on a theoretical framework involving literature on EAP in Canada, additional language socialization, and intercultural communicative competence, this qualitative study presented the pedagogical strategies and implications of using online asynchronous intercultural learning outcomes in an EAP program in British Columbia, Canada. …”
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Improving Model-Based Deep Reinforcement Learning with Learning Degree Networks and Its Application in Robot Control by Guoqing Ma, Zhifu Wang, Xianfeng Yuan, Fengyu Zhou

“…In this paper, based on the A3C (Asynchronous Advantage Actor-Critic) algorithm, an improved model-based deep reinforcement learning algorithm using a learning degree network (MBRL-LDN) is presented. …”
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Exploring Machine Learning and Deep Learning Approaches for Battery Management Systems in EVs: A Comprehensive Review by Sathish J., Ramash Kumar K., Saraswathi D.

“…This paper explores the comprehensive literature review on machine learning and deep learning approaches for BMS in EVs. …”
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Gamification empowered with AI tools to enhance student learning engagement and involvement for personalized effective learning experiences by Surve Bhisaji C., Ghatule Arjun P.

“…The intersection of the Gamification of education and AI presents numerous opportunities for enhancing learning experiences. …”
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Handwritten Amharic Character Recognition Through Transfer Learning: Integrating CNN Models and Machine Learning Classifiers by Natenaile Asmamaw Shiferaw, Zefree Lazarus Mayaluri, Prabodh Kumar Sahoo, Ganapati Panda, Prince Jain, Adyasha Rath, Md. Shabiul Islam, Mohammad Tariqul Islam

“…Handwritten Amharic character recognition presents significant challenges due to the script’s syllabic nature and variations in handwriting styles. …”
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Redesigning of Flexible Learning Itinerary Configurator (FLIC) for the Design of Learning Situations in Compulsory Education (FLIC-IPAFLEX) by Jacoba Munar-Garau, Juan Moreno-Garcia, Barbara De-Benito-Crosetti, Jesus Salinas

“…This paper presents the redesign process of FLIC, a web application developed for creating personal learning itineraries in higher education, now adapted for primary and secondary education as FLIC-IPAFLEX. …”
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Behind the Scenes of Adaptive Learning: A Scoping Review of Teachers’ Perspectives on the Use of Adaptive Learning Technologies by Patricia D. Simon, Lily Min Zeng

“…Despite their increasing prevalence, the present discourse on adaptive learning software focuses on the technical aspects of adaptive learning systems without accounting for other factors that impact their use in classrooms. …”
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How does using an AR learning environment affect student learning of a radical substitution mechanism? by Bullock Martin, Huwer Johannes, Graulich Nicole

“…As the use of augmented reality (AR) in educational settings grows, it becomes increasingly important to understand how to use AR in classrooms. Here, we present an AR learning environment that we designed for teaching an organic chemistry reaction mechanism in high school chemistry classes. …”
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Unlocking Potential: Comparing collaborative and Traditional Learning Methods for Students with Learning Disabilities in Special Education Classrooms by Carmit Gal, Chen Hanna Ryder

“…Learning disabilities present significant challenges in educational settings, with traditional teaching methods often failing to fully engage affected students. …”
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Survey of Deep Learning and Machine Learning Approaches for Major Depressive Disorder Detection Using EEG Data by Sumathi Balakrishnan, Raja Kumar Murugesan, Eng Lye Lim, Amna Faisal, Humaira Ashraf

“…Recent advances in electroencephalogram (EEG) analysis have combined physiological markers with machine learning (ML) and deep learning (DL) techniques, offering objective, noninvasive alternatives for MDD detection. …”
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Integrating Google Earth into Scale Learning: A Learning Trajectory Through Rice Field Size Exploration by Filian Yunita Sari, Zulkardi Zulkardi, Ratu Ilma Indra Putri, Ely Susanti

“… Students' difficulties in understanding the concept of scale, both conceptually and applicative, are caused by learning that is still abstract and has minimal connection to the real context, so it is necessary to present learning that is more meaningful and applicable. …”
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A proficient approach for the classification of Alzheimer’s disease using a hybridization of machine learning and deep learning by Hafiz Ahmed Raza, Shahab U. Ansari, Kamran Javed, Muhammad Hanif, Saeed Mian Qaisar, Usman Haider, Paweł Pławiak, Iffat Maab

“…Recent studies have employed machine learning to detect and classify AD. Deep learning models have also been increasingly utilized with varying degrees of success. …”
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