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		<title>AI Reads Students&#8217; Faces to Measure Attention in Online Classes</title>
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		<pubDate>Mon, 05 Oct 2026 00:07:31 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[affective computing]]></category>
		<category><![CDATA[attentiveness index]]></category>
		<category><![CDATA[Computer Vision]]></category>
		<category><![CDATA[convolutional neural networks]]></category>
		<category><![CDATA[DAiSEE dataset]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[e-learning]]></category>
		<category><![CDATA[engagement detection]]></category>
		<category><![CDATA[facial expression recognition]]></category>
		<category><![CDATA[focal loss]]></category>
		<category><![CDATA[online education]]></category>
		<category><![CDATA[real-time analytics]]></category>
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					<description><![CDATA[Researchers have developed a real-time computer vision system that reads students' facial expressions during online lessons and converts four learning-centered emotional states into a single attentiveness score for instructors.]]></description>
		
		
		
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