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Conference Paper: Developing the PETAL e-Learning Platform for Personalized Teaching and Learning

TitleDeveloping the PETAL e-Learning Platform for Personalized Teaching and Learning
Authors
Issue Date2015
PublisherSpringer. The Journal's web site is located at http://link.springer.com/bookseries/11777
Citation
The International Conference on Smart Learning Environments (ICSLE), Hong Kong, China, 24-25 July 2014. In Lecture Notes in Educational Technology, 2015, v. 2015, p. 119-122 How to Cite?
AbstractMobile devices significantly reshape our various aspects of livings. Yet prolonged contacts with mobile devices may cause eye and/or muscle fatigues especially for young children. In this paper, we consider the integration of web cameras as image sensors available on most tablets or smartphones with an interesting tracking algorithm to continuously monitor and analyze the learners’ responses through their facial orientations and eye movements to build the Personalized Teaching And Learning, namely the PETAL, platform for nurturing the academic development of our young learners while protecting their eyesight. Through the in-depth studies of various Android programming toolkits with the Open Source Computer Vision library, we explore many possible ways to detect the viewers’ responses to educational videos as a mean of self-learning. With the capability of notifying learners of their, possibly unconscious, reactions to such educational videos, our platform is targeted to promote a truly personalized approach for developing the next-generation e-learning systems.
DescriptionParallel Presentation Session (H)
Lecture Notes in Educational Technology, vol. 2015 has title: Emerging Issues in Smart Learning
Persistent Identifierhttp://hdl.handle.net/10722/204052
ISBN
ISSN

 

DC FieldValueLanguage
dc.contributor.authorLiu, Ken_US
dc.contributor.authorTam, Ven_US
dc.contributor.authorTse, Pen_US
dc.contributor.authorLam, EYMen_US
dc.contributor.authorTam, VWLen_US
dc.date.accessioned2014-09-19T20:02:03Z-
dc.date.available2014-09-19T20:02:03Z-
dc.date.issued2015en_US
dc.identifier.citationThe International Conference on Smart Learning Environments (ICSLE), Hong Kong, China, 24-25 July 2014. In Lecture Notes in Educational Technology, 2015, v. 2015, p. 119-122en_US
dc.identifier.isbn9783662441879-
dc.identifier.issn2196-4963-
dc.identifier.urihttp://hdl.handle.net/10722/204052-
dc.descriptionParallel Presentation Session (H)-
dc.descriptionLecture Notes in Educational Technology, vol. 2015 has title: Emerging Issues in Smart Learning-
dc.description.abstractMobile devices significantly reshape our various aspects of livings. Yet prolonged contacts with mobile devices may cause eye and/or muscle fatigues especially for young children. In this paper, we consider the integration of web cameras as image sensors available on most tablets or smartphones with an interesting tracking algorithm to continuously monitor and analyze the learners’ responses through their facial orientations and eye movements to build the Personalized Teaching And Learning, namely the PETAL, platform for nurturing the academic development of our young learners while protecting their eyesight. Through the in-depth studies of various Android programming toolkits with the Open Source Computer Vision library, we explore many possible ways to detect the viewers’ responses to educational videos as a mean of self-learning. With the capability of notifying learners of their, possibly unconscious, reactions to such educational videos, our platform is targeted to promote a truly personalized approach for developing the next-generation e-learning systems.-
dc.languageengen_US
dc.publisherSpringer. The Journal's web site is located at http://link.springer.com/bookseries/11777en_US
dc.relation.ispartofLecture Notes in Educational Technologyen_US
dc.rightsThe original publication is available at www.springerlink.com-
dc.titleDeveloping the PETAL e-Learning Platform for Personalized Teaching and Learningen_US
dc.typeConference_Paperen_US
dc.identifier.emailLam, EYM: elam@eee.hku.hken_US
dc.identifier.emailTam, VWL: vtam@eee.hku.hken_US
dc.identifier.authorityLam, EYM=rp00131en_US
dc.identifier.authorityTam, VWL=rp00173en_US
dc.identifier.doi10.1007/978-3-662-44188-6_17-
dc.identifier.hkuros236822en_US
dc.identifier.hkuros252683-
dc.identifier.volume2015-
dc.identifier.spage119-
dc.identifier.epage122-
dc.publisher.placeBerlin-

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