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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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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This research looks forward to identifying rainfall and river overflow in the Nilwala River basin, Sri Lanka. Accordingly, the main objective is to model strong machine learning models that accurately predict rainfall...
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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.
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 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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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 proceedings contain 575 papers. The topics discussed include: an analysis of medical images using deep learning;development and construction of an automated sanitizing robot incorporating ultrasonic sensor and san...
ISBN:
(纸本)9798350399264
The proceedings contain 575 papers. The topics discussed include: an analysis of medical images using deep learning;development and construction of an automated sanitizing robot incorporating ultrasonic sensor and sanitizer level detection sensor;mutual user authentication using inherent techniques for cloud and fog computing;design and optimization of downlink massive MIMO system based on OTFS modulation enabling modified 3D-SOMP channel estimation;comparative analysis of performance indicators to improve the quality in Indian educational institutions using GRD ensemble methods;improved algorithm for solar power systems for efficient tracking system;cryptocurrency trading using machine learning;development of smart grid infrastructure in cybersecurity;development of a sleep monitoring system using cloud computing and big data techniques;and securing international law against cyber-attacks through blockchain integration.
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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