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	<title>Learning for Learning &#8211; Centro de Investigación y Formación en Inteligencia Artificial | Uniandes</title>
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		<title>Artificial Intelligence Enhanced Learning</title>
		<link>https://cinfonia.uniandes.edu.co/responsible-research/artificial-intelligence-enhanced-learning/</link>
		
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		<pubDate>Thu, 03 Jun 2021 04:41:57 +0000</pubDate>
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					<description><![CDATA[Research on Technology Enhanced Learning(TEL) refers to the research on how to use ICT to enhance learning and teaching processes. In this project, we explore how Artificial Intelligence can enhance learning and teaching processes. We are particularly interested in enhancing higher education and life-long learning by using AI techniques at different levels such as: learner [&#8230;]]]></description>
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<p class="has-drop-cap">Research on Technology Enhanced Learning(TEL) refers to the research on how to use ICT to enhance learning and teaching processes. In this project, we explore how Artificial Intelligence can enhance learning and teaching processes. We are particularly interested in enhancing higher education and life-long learning by using AI techniques at different levels such as: learner model, learning activities, competencies and knowledge, teacher support, learning resources annotation and sequencing, learning platform enhancement, personalization and adaptation of the learning experience.</p>
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		<title>Learning and Academics Analytics</title>
		<link>https://cinfonia.uniandes.edu.co/responsible-research/learning-and-academics-analytics/</link>
		
		<dc:creator><![CDATA[admin]]></dc:creator>
		<pubDate>Thu, 03 Jun 2021 04:38:06 +0000</pubDate>
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					<description><![CDATA[By combining Machine Learning Techniques with Semantic Web Techniques, this project aims to help advance the frontier both on Academic Analytics (intelligent analysis of data related to students of an institution or academic program) and on Learning Analytics (intelligent analysis of data related to students through a learning experience, be it an activity or a [&#8230;]]]></description>
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<p class="has-drop-cap">By combining Machine Learning Techniques with Semantic Web Techniques, this project aims to help advance the frontier both on Academic Analytics (intelligent analysis of data related to students of an institution or academic program) and on Learning Analytics (intelligent analysis of data related to students through a learning experience, be it an activity or a course).</p>
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