Helping students manage personalized learning scenarios

In personalized learning scenarios, students have control over their learning goals and how they want to learn which is advantageous since they tend to be more motivated and immersed in what they are learning. However, they need to regulate their motivation, affect and activities so they can learn e...

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Main Authors:	Inventado, Paul Salvador B., Legaspi, Roberto S., Numao, Masayuki
Format:	text
Published:	Animo Repository 2013
Subjects:	Learning, Psychology of Independent study Reinforcement learning Data Science Education
Online Access:	https://animorepository.dlsu.edu.ph/faculty_research/4346
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Institution:	De La Salle University

id	oai:animorepository.dlsu.edu.ph:faculty_research-5215
record_format	eprints
spelling	oai:animorepository.dlsu.edu.ph:faculty_research-52152022-11-08T02:21:43Z Helping students manage personalized learning scenarios Inventado, Paul Salvador B. Legaspi, Roberto S. Numao, Masayuki In personalized learning scenarios, students have control over their learning goals and how they want to learn which is advantageous since they tend to be more motivated and immersed in what they are learning. However, they need to regulate their motivation, affect and activities so they can learn effectively. Our research deals with helping students identify the long-term effects of their learning behavior and identify effective actions that span across learning episodes which are not easily identified without in depth analysis. In this paper, we discuss how we are trying to identify such effective learning behavior and how they can be used to generate feedback that will help students learn in personalized learning scenarios. © 2013 International educational Data Mining Society. All rights reserved. 2013-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/4346 Faculty Research Work Animo Repository Learning, Psychology of Independent study Reinforcement learning Data Science Education
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
topic	Learning, Psychology of Independent study Reinforcement learning Data Science Education
spellingShingle	Learning, Psychology of Independent study Reinforcement learning Data Science Education Inventado, Paul Salvador B. Legaspi, Roberto S. Numao, Masayuki Helping students manage personalized learning scenarios
description	In personalized learning scenarios, students have control over their learning goals and how they want to learn which is advantageous since they tend to be more motivated and immersed in what they are learning. However, they need to regulate their motivation, affect and activities so they can learn effectively. Our research deals with helping students identify the long-term effects of their learning behavior and identify effective actions that span across learning episodes which are not easily identified without in depth analysis. In this paper, we discuss how we are trying to identify such effective learning behavior and how they can be used to generate feedback that will help students learn in personalized learning scenarios. © 2013 International educational Data Mining Society. All rights reserved.
format	text
author	Inventado, Paul Salvador B. Legaspi, Roberto S. Numao, Masayuki
author_facet	Inventado, Paul Salvador B. Legaspi, Roberto S. Numao, Masayuki
author_sort	Inventado, Paul Salvador B.
title	Helping students manage personalized learning scenarios
title_short	Helping students manage personalized learning scenarios
title_full	Helping students manage personalized learning scenarios
title_fullStr	Helping students manage personalized learning scenarios
title_full_unstemmed	Helping students manage personalized learning scenarios
title_sort	helping students manage personalized learning scenarios
publisher	Animo Repository
publishDate	2013
url	https://animorepository.dlsu.edu.ph/faculty_research/4346
_version_	1767196086538076160

Helping students manage personalized learning scenarios

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