Publication | Closed Access
Research and trends in mobile learning from 1976 to 2013: A content analysis of patents in selected databases
38
Citations
29
References
2015
Year
E-learningEducational InformaticsEducationAbstract Mobile LearningEducational ApplicationTechnology-based Language TeachingInstructional Design ModelsLearning Management SystemInstructional MaterialsPatent DimensionLearning StrategiesLanguage StudiesContent AnalysisInstructional TechnologyIntellectual PropertyTechnology TransferUbiquitous LearningMobile LearningLearning SciencesLearning AnalyticsComputer-based EducationTechnologyLearning Systems DesignLearning Design
Abstract Mobile learning has been a very popular topic in the past several decades. As more patents in this field have been submitted, the analysis of patents has surfaced as an important mechanism to understand trends, uses, targeted audiences and other aspects in the mobile learning space. Based on the CNIPR , USPTO , and Espacenet databases, this paper provides an analysis of mobile learning from 1976, when the first patent in mobile learning emerged, to 2013. One hundred thirty patents were analyzed from two dimensions: the instructional dimension (including target audience, situation and purpose) and the patent dimension (including technology and style). It was found that “students” was the most popular target audience; “out of class for education” was the most utilized situation; “provide more friendly peripheral service” was the primary purpose; “wireless, mobile and ubiquitous technologies for learning, pervasive computing for learning, u‐computing in learning” were the most utilized technologies; and “system and method” was the most common style. Currently, patents in mobile learning are more inclined to provide personalized, contextualized, easily‐retrievable, auto‐updated and intelligent pushed learning content. Additionally, providing multipresentation, supporting seamless learning, adopting learner analysis, improving learner diversity and context awareness are becoming the characteristics of mobile learning patents.
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