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Details van artikel 57 van 103 gevonden artikelen
| Titel: |
Mobile Learning Applications Audit |
| Auteur: |
Paul POCATILU Adrian POCOVNICU |
| Verschenen in: |
Informatica economica |
| Paginering: | Jaargang 14 (2010) nr. 1 pagina's 137-144 |
| Jaar: |
2010 |
| Inhoud: |
While mobile learning (m-learning) applications have proven their value in educational activities, there is a need to measure their reliability, accessibility and further more their trustworthiness. Mobile devices are far more vulnerable then classic computers and present inconvenient interfaces due to their size, hardware limitations and their mobile connectivity. Mobile learning applications should be audited to determine if they should be trusted or not, while multimedia contents like automatic speech recognition (ASR) can improve their accessibility. This article will start with a brief introduction on m-learning applications, then it will present the audit process for m-learning applications, it will iterate their specific security threats, it will define the ASR process, and it will elaborate how ASR can enhance accessibility of these types of applications. |
| Uitgever: |
Inforec Association (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 57 van 103 gevonden artikelen
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