Megliola, Maurizio ; De Vito, Gianluigi ; Sanguini, Roberto ; Wild, Fridolin and Lefrere, Paul
(2014).
|
PDF (Version of Record)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (350kB) | Preview |
| URL: | http://ceur-ws.org/Vol-1238/paper1.pdf |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
We describe our use of the Experience API in preparing blue-collar workers for three frequently arising work contexts, including, for example, the requirement to perform maintenance tasks exactly as specified, consistently, quickly, and without error. We provide some theoretical underpinning for modifying and updating the API to remain useful in near-future training scenarios, such as having a shorter time allowed for kinaesthetic learning experiences than in traditional apprenticeships or training. We propose ways to involve a wide range of stakeholders in appraising the API and ensuring that any enhancements to it, or add-ons, are useful, feasible and compatible with current TEL practices and tools, such as learning-design modelling languages.
| Item Type: | Conference or Workshop Item |
|---|---|
| Copyright Holders: | 2014 for the individual papers by the papers' authors. |
| ISSN: | 1613-0073 |
| Extra Information: | In conjunction with the 9th European Conference on Technology Enhanced Learning: Open Learning and Teaching in Educational Communities (ECTEL 2014) |
| Keywords: | experience sharing; xAPI; verbs |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Research Group: | Centre for Research in Computing (CRC) |
| Item ID: | 41697 |
| Depositing User: | Kay Dave |
| Date Deposited: | 08 Jan 2015 15:47 |
| Last Modified: | 28 Nov 2016 18:14 |
| URI: | http://oro.open.ac.uk/id/eprint/41697 |
| Share this page: |     |
Download history for this item
These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)