The study on brain signals to understand working memory in undergraduate students has yielded promising results. However, the challenge remains in accurately assessing different brain activities. This work seeks to me...
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作者：
Zhang, TingLiu, JieKang, GuodongJishou University
School of Physics and Mechanical and Electrical Engineering Jishou China Jishou University
School of Computer Science and Engineering School of Physics and Mechanical and Electrical Engineering Jishou China Hunan Normal University
Key Laboratory of Low Dimensional Quantum Structures and Quantum Control Ministry of Education College of Physics and Electronic Science Changsha China
Improve the secure key rate and the limited communication distance is the main goal in the field of quantum key distribution. measurement-device-independent quantum key distribution, not only removes all detector side...
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MAESTRO-EP (Multi-Architecture Ensemble System for Temporal Reasoning and Outcome Prediction in Event Processing) is an innovative deep learning framework designed to model and predict outcomes in complex event-driven...
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With the growth of economic growth and information globalization, cross-border e-commerce has gradually emerged, and due to its rapid growth, it has attracted the attention of governments, enterprises and consumers of...
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Polish universities are still going through reform. Previous government made some changes into the way how universities are evaluate, which is connected with categories they will achieve and money they will receive to...
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The proceedings contain 24 papers. The special focus in this conference is on Adaptive Instructional systems. The topics include: Learning Within Gameplay Loops: Considering Adaptive Educational Technology from a Game...
ISBN:
(纸本)9783031347344
The proceedings contain 24 papers. The special focus in this conference is on Adaptive Instructional systems. The topics include: Learning Within Gameplay Loops: Considering Adaptive Educational Technology from a Game Design Lens;toward a New Paradigm: Learning Analytics 2.0;considerations for Developing a Generalized Gradebook for an Open-Source Intelligent Tutoring System Framework;precision Learning Through Data Intelligence;learning to Take the Right Turn – Which Learning Media is Best Suited to Learn a Sequence of Actions to Solve a Rubik’s Cube?;towards a Vision of Standardized Competency-Based Training and Assessment Implementation;identifying Individual Differences that Predict Usage of an Adaptive Training System in a United States Marine Corps Course;which is Better Individualized Training for a Novel, Complex Task? Learner Control vs. Feedback Algorithms;stress and Coping with Task Difficulty: Investigating the Utility of a Micro-adaptive Aptitude Treatment Interaction Approach;exploring the Individual Differences in Multidimensional Evolution of Knowledge States of Learners;not All Pain Leads to Gain: The Role of Learner Engagement in Adaptive Flashcard Training;ibigkas! Math 2.0: An Intelligent computer-Supported Collaborative Learning Application for Grade 5 Mathematics;teaching Diffusion of Innovations Involving Technology Startups Using Agent-Based Simulation modeling: Architecture and Design Considerations;iterative Improvement of Automatically Generated Practice with the Content Improvement Service;merging Human and Non-human (System) Data to Describe Students’ Adaptive Learning Experience in Postsecondary Gateway Math Courses;towards Application of Adaptive Instructional systems in Simulation-Based Lifeboat Training Using Bayesian Networks;trust Acceptance Mapping - Designing Intelligent systems for Use in an Educational Context;human Performance Data Lifecycle Management as a Foundation for Adaptive Training.
In recent years, emotion recognition in conversations has gained widespread attention due to its extensive applications. Many recent studies have focused on perceiving conversational context from the perspective of ca...
Imagery sentiment analysis is a complex task, the aim of which is the interpretation of both local and global visual signs in order to correctly classify the emotions ordered by the image. CNNs old architectures commo...
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We study the problem of retrieving accurate correspondence through multi-scale consistency (MSC) for robust point cloud registration. Existing works in a coarse-to-fine manner either suffer from severe noisy correspon...
This study discusses various measures for quantifying the firm size change rate in econometrics problems. The paper presents their comparative correlation analysis performed on a large dataset, discusses their indicat...
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ISBN:
(数字)9798350363708
ISBN:
(纸本)9798350363715
This study discusses various measures for quantifying the firm size change rate in econometrics problems. The paper presents their comparative correlation analysis performed on a large dataset, discusses their indicative ability, identifies their features and outlines the boundaries of the possible application areas in econometric models. The study considers the robustness of the corresponding quantitative values of the considered measures to random errors in econometric data.
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