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This investigation proposed a workflow framework for composing pervasive learning objects. The grid services flow language was adopted to describe the workflow for composing pervasive learning objects distributed in heterogeneous environments. The framework was applied to the pervasive learning grid to enable effective collaboration and reuse of the learning objects. Experimental results showed that different LO services not only interacted themselves, but the service lifecycle was also good.