Through this research, we introduce a unique Audio Spoof Detection System for distinguishing between actual, fraudulent, and generated audio recordings. Strong detection algorithms are required since the spread of aud...
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With the growing demand for data-intensive applications, offloading tasks to multi-access edge computing (MEC) servers has become essential. However, privacy concerns arise as sensitive data is transmitted to remote s...
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Identifying diverse learning styles in early childhood education is a significant challenge that can hinder academic progress. To address this, this study presents ThomaSIGHTS, a system developed to analyze nursery st...
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The proceedings contain 42 papers. The topics discussed include: unpacking approaches to learning and teaching machine learning in K-12 education: transparency, ethics, and design activities;enhancing understanding of...
ISBN:
(纸本)9798400710056
The proceedings contain 42 papers. The topics discussed include: unpacking approaches to learning and teaching machine learning in K-12 education: transparency, ethics, and design activities;enhancing understanding of data traces and profiling among K-9 students through an interactive classroom game;data-related practices for creating artificial intelligence systems in K-12;investigating the impact of programming activities on computational thinking and AI literacy in Spanish schools;coaching teachers to teach computer science with equity-focused teacher standards;automated assessment: does it align with teachers’ views?;improvement of computational thinking skills through unplugged activities in upper secondary education;observing students’ behavior during problem solving: determinants of success;and extrinsic barriers to integrating computer science in elementary school subject areas in the United States.
Proton Exchange Membrane Fuel Cells (PEMFCs) play a vital role in the transition to clean energy technologies, requiring accurate and efficient models for their control, optimization, and real-time monitoring. This re...
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To achieve effective feedback and proficiency tracking of students in contemporary educational settings, we propose a methodology that integrates the RNN-GRU model and dynamic Bayesian networks for predicting students...
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The paper contributes to getting familiar with various tools and platforms incorporated with learning dashboards that provide digital teaching and learning. The article also includes the different components for learn...
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The advent of blockchain and machine learning technologies has introduced revolutionary possibilities across various industries, and the education sector is no exception. Blockchain, as a decentralized and immutable d...
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In view of the unsatisfactory teaching effect caused by students' weak foundation, poor learning initiative and lack of learning interest in higher vocational colleges, the traditional teaching method was reformed...
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The increasing world population leads to a heightened demand for sustainable living and nutritious food. The farming industry, which is one of the most profitable in the world, faces challenges in meeting these needs....
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