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- Publisher Website: 10.1109/TALE.2014.7062580
- Scopus: eid_2-s2.0-84928243617
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Conference Paper: Facilitating a personalized learning environment through learning analytics on mobile devices
Title | Facilitating a personalized learning environment through learning analytics on mobile devices |
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Authors | |
Keywords | Learning analytics Personalized learning Mobile devices Web cameras |
Issue Date | 2014 |
Publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7057012 |
Citation | The 2014 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE 2014), Wellington, New Zealand, 8-10 December 2014. In Conference Proceedings, 2014, p. 429-432 How to Cite? |
Abstract | Many learning analytics techniques to capture the learner's real-time responses are computationally intensive for running on mobile devices. In this paper, we propose a personalized learning platform named the PETAL facilitated by an efficient learning analytics application to detect learners' level of attentiveness and the proximity of their eyes to mobile devices and then alert learners to be more attentive or to keep acceptable distance from a device. Data privacy is guaranteed by password-protected accounts. Being the first attempt, a prototype of our PETAL application is carefully built and evaluated on Android tablets, with many promising directions for future extensions. © 2014 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/216380 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Tam, V | - |
dc.contributor.author | Lam, EY | - |
dc.contributor.author | Huang, Y | - |
dc.date.accessioned | 2015-09-18T05:25:48Z | - |
dc.date.available | 2015-09-18T05:25:48Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | The 2014 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE 2014), Wellington, New Zealand, 8-10 December 2014. In Conference Proceedings, 2014, p. 429-432 | - |
dc.identifier.isbn | 978-1-4799-7672-0 | - |
dc.identifier.uri | http://hdl.handle.net/10722/216380 | - |
dc.description.abstract | Many learning analytics techniques to capture the learner's real-time responses are computationally intensive for running on mobile devices. In this paper, we propose a personalized learning platform named the PETAL facilitated by an efficient learning analytics application to detect learners' level of attentiveness and the proximity of their eyes to mobile devices and then alert learners to be more attentive or to keep acceptable distance from a device. Data privacy is guaranteed by password-protected accounts. Being the first attempt, a prototype of our PETAL application is carefully built and evaluated on Android tablets, with many promising directions for future extensions. © 2014 IEEE. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7057012 | - |
dc.relation.ispartof | International Conference on Teaching, Assessment, and Learning (TALE) | - |
dc.rights | International Conference on Teaching, Assessment, and Learning (TALE). Copyright © IEEE. | - |
dc.rights | ©2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | Learning analytics | - |
dc.subject | Personalized learning | - |
dc.subject | Mobile devices | - |
dc.subject | Web cameras | - |
dc.title | Facilitating a personalized learning environment through learning analytics on mobile devices | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Tam, V: vtam@hkucc.hku.hk | - |
dc.identifier.email | Lam, EY: elam@eee.hku.hk | - |
dc.identifier.authority | Tam, V=rp00173 | - |
dc.identifier.authority | Lam, EY=rp00131 | - |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.doi | 10.1109/TALE.2014.7062580 | - |
dc.identifier.scopus | eid_2-s2.0-84928243617 | - |
dc.identifier.hkuros | 252579 | - |
dc.identifier.spage | 429 | - |
dc.identifier.epage | 432 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 151119 | - |