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A Comparative Analysis of Student Performance in an Online vs. Face-to-Face Environmental Science Course From 2009 to 2016

This study compared the effectiveness of online vs. traditional instruction in an environmental studies class.
2 months ago

Comprehensive study on the Python-based regression machine learning models for prediction of uniaxial compressive strength using multiple parameters in Charnockite rocks | Scientific Reports

This study presents two Machine Learning Models, Simple Linear Regression and Step-wise Regression, implemented in Python to calculate the UCS of Charnockite...
5 months ago

(PDF) Detecting Deception: A Comprehensive Review of Machine Learning Approaches to Fake News Detection

PDF | It was challenging to distinguish between false and true information due to social media networks' easy access and rapid proliferation...
1 week ago

Deep Learning Market is touching new levels – A comprehensive study segmented with IBM, Intel

The global deep-learning market size is expected to expand at a compound annual growth rate (CAGR) exceeding 33.5% from 2024 to 2030.
1 month ago

Integrating Large Language Models with Graph Machine Learning: A Comprehensive Review

A trend has emerged, integrating LLMs with GNNs to tackle diverse graph tasks and enhance generalization capabilities through self-supervised learning methods.
4 months ago

A study of the impact of project-based learning on student learning effects: a meta-analysis study

Project-based learning significantly improved students' learning outcomes and positively contributed to academic achievement, affective attitudes, and thinking...
7 months ago

We just got the most comprehensive study of pandemic learning loss

One of their biggest findings: the speed at which schools returned to in-person learning was the key factor in how far students fell behind. “In...
26 months ago

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Explore deepfake AI in our comprehensive study. Learn how it blends art and algorithms, uncovering its evolution, ethical concerns, and creative...
5 months ago

Human-like systematic generalization through a meta-learning neural network

Here we successfully address Fodor and Pylyshyn's challenge by providing evidence that neural networks can achieve human-like systematicity when optimized for...
10 months ago

Impact of the COVID-19 pandemic on online learning in higher education: a bibliometric analysis

The paper aims to present recent research trends concerning online learning in higher education during the COVID-19 pandemic by using selected bibliometric...
2 months ago