The Mobile Learning for non-IT professionals to learn Web Services and to improve learning efficiency

Chang, Victor (2006) The Mobile Learning for non-IT professionals to learn Web Services and to improve learning efficiency. In, ICEL 2006 The International Conference on e-Learning, University of Quebec in Montreal, Canada, 22-23 June 2006, Montreal, Canada, 22 - 23 Jun 2006.


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Mobile Learning is defined as “Learning new skills and knowledge through the uses of portable devices and internet connections, including mobile phones, PDA/Pocket PC, Tablet PC and laptops, in the form of self-directed learning or collaborative learning”. Based on the summary of recent renowned publications, Mobile Learning (ML) has become an emerging technology, as well as a new technique that can enhance the quality of learning. This is particularly true for learning Web Services for which the majority of non-IT professionals finds it difficult to learn, based on the usability testing conducted by the researcher who has proposed and demonstrated the combination for Interactive Learning (IL) and Observatory Interactive Usability (OIU) that will improve efficiency in learning Web Services. As a result, the objective and motivation for this paper is to (a) re-investigate how IL and OIU can assist the non-IT users in learning Web Services, as well as what techniques can further improve learning efficiency; and (b) re-investigate different and latest portable devices, which include 3G phones, GPS PDA/phones, Wi-Fi PDA/phones, Linux PDA/phones, Tablet PC, Mini shuttle and wireless laptops (AMD Turion and Intel Centrino Duo), and recommends those ones suitable for ML. In order to justify the usefulness and added values of portable devices for IL and OIU, both quantitative and qualitative methods are presented, and the summary confirms the researcher’s statements.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: 22-23 June 2006
Keywords: Mobile Learning, IL, OIU, wireless protocol (Wi-Fi, Bluetooth, GPS, 3G),
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science
ePrint ID: 261941
Accepted Date and Publication Date:
November 2006Published
Date Deposited: 12 Feb 2006
Last Modified: 27 Mar 2014 20:05
Further Information:Google Scholar

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