CONTENT AND LANGUAGE INTEGRATED LEARNING IN RUSSIAN TECHNICAL UNIVERSITIES by T. V. Sidorenko, S. V. Rybushkina

“…Introduction. The paper presents an overview of and reasons behind Content-Language Integrated Learning (CLIL). …”
Get full text

Hierarchical contrastive learning for multi-label text classification by Wei Zhang, Yun Jiang, Yun Fang, Shuai Pan

“…To address this shortcoming, we introduce a novel method called Hierarchical Contrastive Learning for Multi-label Text Classification (HCL-MTC). …”
Get full text

Text Geolocation Prediction via Self-Supervised Learning by Yuxing Wu, Zhuang Zeng, Kaiyue Liu, Zhouzheng Xu, Yaqin Ye, Shunping Zhou, Huangbao Yao, Shengwen Li

“…To address this limitation, this paper presents a method for text geolocation prediction without labeled samples, namely GeoSG (Geographic Self-Supervised Geolocation) model, which leverages self-supervised learning to improve text geolocation prediction in situations where labeled samples are unavailable. …”
Get full text

The impact of linguistic vs. cultural imperialism on language learning by Somayeh Razmjoo Moghadam, Ghasem Barani

Get full text

Of Food and Languages: Culinary Arts, Cultures and Language Learning

Get full text

Learning Graph Structures With Autoregressive Graph Signal Models by Kyle Donoghue, Ashkan Ashrafi

“…This paper presents a novel approach to graph learning, GL-AR, which leverages estimated autoregressive coefficients to recover undirected graph structures from time-series graph signals with propagation delay. …”
Get full text

Control Optimization of Steam Boilers via Reinforcement Learning by Emmanuel Okafor, Maad Alowaifeer

“…Steam boilers present complex control challenges due to their nonlinear dynamics and fluctuating load conditions. …”
Get full text

User Model for Virtual Learning Based on Adaptive Gamification by Intan Yusrina Zairon, Tengku Siti Meriam Tengku Wook, Syahanim Mohd Salleh, Hadi Affendy Dahlan

“…This study presents the development and evaluation of a hybrid user model designed for adaptive gamification within a virtual learning environment based on the Felder-Silverman Learning Style model. …”
Get full text

Travel route recommendation with a trajectory learning model by Xiangping Wu, Zheng Zhang, Wangjun Wan

“…To address these issues, this research introduces a Trajectory Learning Model for Route Recommendation (TLMR) based on deep learning techniques. …”
Get full text

Enhancing healthcare data privacy and interoperability with federated learning by Adil Akhmetov, Zohaib Latif, Benjamin Tyler, Adnan Yazici

“…Unlike traditional centralized learning (CL) solutions that require data centralization, our platform uses local model learning, which naturally improves data privacy. …”
Get full text

Blended learning module for universities and extended education programs by Egorova P. Egorova, Anton A. Abashkin, Vladimir G. Mosin

“…The module is implemented in the Blended Learning format and is designed to be used in educational programs of higher professional education and in extended education programs. …”
Get full text

Machine Learning Model for Predicting Net Environmental Effects by Sellappan Palaniappan, Rajasvaran Logeswaran, Shapla Khanam, Zhang Yujiao

“…While various approaches exist, we need more sophisticated prediction models that account for both environmental and social factors. This study presents a proof-of-concept machine learning model for predicting net environmental effects using synthetic data. …”
Get full text

Leveraging deep feature learning for handwriting biometric authentication by Parvaneh Afzali, Abdoreza Rezapour, Ahmad Rezaee Jordehi

Get full text

Learning Analytics in a Non-Linear Virtual Course by Jhon Mercado, Carlos Mendoza-Cardenas, Luis Fletscher, Natalia Gaviria-Gomez

“…However, non-linear courses, which allow students to complete tasks in any order, present unique challenges for learning analytics due to the variability in course progression among students. …”
Get full text

Preparing Future Teachers to Implement Distance Learning for Schoolchildren by M. V. Kuzmenko

“…The results of students’ survey in order to identify professional deficits of graduates in the context of the implementation of distance learning technologies are presented. The main directions of improving the graduates’ professional skills in the framework of the discipline “Distance learning technologies” and work program structure are given.Materials and methods. …”
Get full text

European sovereign debt control through reinforcement learning by Tato Khundadze, Willi Semmler, Willi Semmler, Willi Semmler

“…The Euro area is chosen as the sample for testing the models presented in the paper, given that its resilience is heavily dependent on cooperation among different actors within the region. …”
Get full text

Application of educational data mining in subject learning at university by Irina A. Kotiurova

“…The aim of the study is to determine how big data can be applied to verify gaps in knowledge and learning progress and to adjust the educational track accordingly in the context of a particular university course. …”
Get full text

Automating skin cancer screening: a deep learning by Nada M. Rashad, Noha MM. Abdelnapi, Ahmed F. Seddik, M. A. Sayedelahl

“…Abstract Skin cancer presents in various forms, including squamous cell carcinoma (SCC), basal cell carcinoma (BCC), and melanoma. …”
Get full text

The role of microRNAs in learning and long-term memory by L. N. Grinkevich

“…The review presents summarized data on the effect of impaired microRNA biogenesis on long-term memory formation, including those associated with sleep deprivation. …”
Get full text

Improving Deep Learning for Forecasting Accuracy in Financial Data by Shih-Lin Lin, Hua-Wei Huang

“…Financial forecasting is based on the use of past and present financial information to make the best prediction of the future financial situation, to avoid high-risk situations, and to increase benefits. …”
Get full text