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Deep learning-based personalized learning recommendation system design for "T++" Guzheng Pedagogy
This study investigates the development and impact of a deep learning-based personalized learning recommendation system designed specifically for...
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Representation learning: serial-autoencoder for personalized recommendation
Nowadays, the personalized recommendation has become a research hotspot for addressing information overload. Despite this, generating effective...
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Layer-Wise Personalized Federated Learning with Hypernetwork
Federated learning is a machine learning paradigm in which decentralized client devices collaboratively train shared model under the coordinating of...
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A personalized cross-domain recommendation with federated meta learning
Cross-domain Recommendation (CDR) is an effective method for solving the cold-start problem in traditional recommendation systems. This technique...
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Graph-Enhanced Prompt Learning for Personalized Review Generation
Personalized review generation is significant for e-commerce applications, such as providing explainable recommendation and assisting the composition...
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Effects and side effects of personal learning environments and personalized learning in formal education
This review provides a critical assessment of Personal Learning Environments (PLEs) and personalized learning within formal education by juxtaposing...
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Exploring the effects of personalized recommendations on student’s motivation and learning achievement in gamified mobile learning framework
In this research, a GAmified Mobile Leaning Framework (GAMOLEAF) developed as a new intelligent application designed for mobile devices to ensure...
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Personalized learning efficiency data analysis based on multi-scale convolution architecture and hybrid loss
Personalized learning has gained significant attention in education as a means to cater to the diverse needs of learners and optimize educational...
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Perfednilm: a practical personalized federated learning-based non-intrusive load monitoring
Non-Intrusive Load Monitoring (NILM) is a valuable technique for breaking down overall power consumption into the energy usage of individual...
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Personalized federated learning for the detection of COVID-19
Federated learning (FL) plays a crucial role in COVID-19 detection by enabling collaborative analysis of medical data while preserving privacy. In...
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Employing cumulative rewards based reinforcement machine learning for personalized music recommendation
Music streaming services have transformed the way people listen to music in recent years. The current streaming services majorly rely on...
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The effectiveness of technology-facilitated personalized learning on learning achievements and learning perceptions: a meta-analysis
As a learner-centered approach, technology-facilitated personalized learning has received increasing attention in the field of education. However, it...
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Sequential POI Recommend Based on Personalized Federated Learning
Point-of-Interest recommendation system (POI-RS) aims at mining users’ potential preferred venues. Many works introduce Federated Learning (FL) into...
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Personalized learning analytics intervention approach for enhancing student learning achievement and behavioral engagement in blended learning
The application of student interaction data is a promising field for blended learning (BL), which combines conventional face-to-face and online...
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Secured IoT architecture for personalized marketing using blockchain framework with deep learning technology
The Internet of Things (IoT), the convergence of blockchain and deep learning (DL) technologies presents exciting opportunities for innovation. The...
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Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond
Federated learning (FL) is a framework for training machine learning models in a distributed and collaborative manner. During training, a set of...
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Dynamic user profile for adaptive personalized recommender system using learning automata
The personalized recommender systems provide favorite services based on user preferences and interests. Due to the user's interests changing over...
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PerMl-Fed: enabling personalized multi-level federated learning within heterogenous IoT environments for activity recognition
Federated Learning (FL) has emerged as a promising approach to addressing issues related to centralized machine learning such as data privacy,...
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Personalized Markov Learning Model in Knowledge Map Space
The personalized learning model is the primary basis for selecting educational resources and the foundation of customized education. Currently, the...
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A model to create a personalized online course based on the student’s learning styles
This article presents the results of an experiment in personalizing course content and learning activity model tailored for online courses based on...
