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ADL’s recent research review uncovered the fact that very few actual ID models for mobile learning truly exist. Instead of creating a new ID model, they have presented a framework that can be used to incorporate mobile learning considerations into existing ID models and agile approaches to optimize them for the mobile learner. Ideally, instructional designers should now consider focusing on new opportunities for improving performance and augmenting skills, not just on knowledge transfer.
The flexible approach proposed by the framework takes both instruction and performance support into consideration for the mobile learning task or challenge at hand. This session will provide you with ADL’s mobile learning research findings and an overview of the MoTIF project. This session will specifically address the mLearning considerations during the analysis and design phases. Participants will also receive a list of mobile learning resources and discuss opportunities for getting involved with the community supporting this effort and evolving the framework.