An adaptive caching strategy for m-learning based on SCORM sequencing and navigation

Hsuan Pu Chang, Timothy K. Shih, Qing Li, Chun Chia Wang, Te Hua Wang, Louis R. Chao

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

One of the main problems encountered in the usage of mobile devices as a learning platform is the presence of an impermanent network environment due to insufficient coverage or link failure in wireless communication. On the other hand, a persistent connection is usually offered by cellular phones using a telecommunication protocol, but with a relatively weak computing power and very limited network bandwidth which makes m-learning a time-consuming process. Moreover, learning contents are currently composed of various multimedia resources that induce long latency to display on handheld devices such as smartphones with GPRS. Recently, a lot of m-learning systems and contents have conformed to the Sharable Content Object Reference Model (SCORM) since it was introduced by ADL in the late 90s. The Sequencing and Navigation (S&N) specification is an important part of SCORM. S&N is defined to prescribe the intended student learning sequence by instructors. In this paper, we propose an adaptive course caching strategy based on the S&N specification in an m-learning environment. The system automatically switches to the corresponding course caching strategies, namely, the virtual memory management (VMM) mode and caching on disk (COD) mode, according to the current networking capability. The proposed mechanism is implemented on an m-learning system-Pocket SCORM-which received the 2005 Brandon Hall Excellence in Learning Award in the USA. Our simulation and experiments demonstrate that the proposed course caching strategy ultimately reduces the latency during the learning process and decreases the requests for Internet reconnection.

Original languageEnglish
Pages (from-to)387-406
Number of pages20
JournalWorld Wide Web
Volume11
Issue number3
DOIs
StatePublished - Sep 2008

Keywords

  • Course caching strategy and SCORM sequencing
  • Mobile learning
  • SCORM

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