Location-Aware Mobile Learning Model: A Case for Positioning Performance Measurements

Mohammad Alnabhan, Nasim Matar, Abdulameer Hussain, Ja'afer AL-Saraireh

Abstract


This research work explores the use of mobile and positioning technologies stimulating a context adaptive and location-based learning model. The proposed model utilizes a set of context factors for learning service dissemination; described as learning service area, learning service type, and service interaction level. In addition, the new model considers the availability of positioning technology for authoring location-based learning content, and for accurately disseminating learning services. Hence, tolerance to position errors is used to classify learning services into two types; generic and specific. An evaluation experiment was conducted measuring the relationship between the positioning performance and successful implementation of the m-learning model. Results have shown a significant affect of position accuracy towards learners’ context understanding and interaction with learning activity.


Full Text: PDF DOI: 10.5539/cis.v7n2p28

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This work is licensed under a Creative Commons Attribution 3.0 License.

Computer and Information Science   ISSN 1913-8989 (Print)   ISSN 1913-8997 (Online)
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