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  5. Supporting Problem-based Learning in Moodle using Personalised, Context- specific Learning Episode Generation
 
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Supporting Problem-based Learning in Moodle using Personalised, Context- specific Learning Episode Generation

Author(s)
Brabazon, Dermot  
Donovan, Lynda  
Melia, Mark  
O'Mahony, Michael P.  
Egan, Andrew  
Smyth, Barry  
Uri
http://hdl.handle.net/10197/4344
Date Issued
2012-09-14
Date Available
2013-05-24T10:53:00Z
Abstract
Providing learners with a list of disparate search results is not always conducive to learning. In particular, this approach lacks learning structure, and learners have to sift through lists of resources in order to make sense of them and to find the level of detail they require. In this paper we outline the Moodle Help Block, a Moodle block plug-in that provides learners with Just-In-Time context relevant learning material using a defined pedagogical strategy. The Moodle Help Block uses a combination of Semantic Web, Social Web and learning composition technology to generate learning episodes as needed by learners. The Moodle help block conducts a dialogue with the learner to extrapolate where a given learner’s knowledge gaps lie and generate learning episodes with learning material to help the learner overcome their knowledge deficit. It is thought that the Moodle Help Block can assist learners with targeted help when a teacher is not available.
Type of Material
Conference Publication
Publisher
Moodle Research Conference
Subjects

Moodle block

Search

Semantic web

Social search

Personalisation

Web versions
http://research.moodle.net/mod/data/view.php?d=1&rid=87
Language
English
Status of Item
Not peer reviewed
Journal
Retalis, S. & Dougiamas, M. (eds.). Proceedings of the 1st Moodle Research Conference (MRC2012)
Conference Details
1st Moodle Research Conference, Heraklion, Crete, Greece, September 14-15, 2012
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
No Thumbnail Available
Name

support_problem_based.docx

Size

828.52 KB

Format

Microsoft Word

Checksum (MD5)

6694628d2e541616a8940adf62e91642

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

For all queries please contact research.repository@ucd.ie.

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