Integration of location-based information into mobile learning management system to verify scientific formulas in informal learning environment

Rashad Aouf, Ali Ahmad Alawneh, Hassan Al Abboud and Monzer Alwan

International Journal of Intelligent Enterprise, 2017, vol. 4, issue 1/2, 46-57

Abstract: Scientific formulas govern our life while moving from one location to another. Hence, this study investigates into the development of an adaptive mobile learning model that extends traditional learning systems that address content customisation issue, to include formulas verification feature with help of location-based information in informal learning environment. The main contribution of this novel model is to provide the mobile learner with a virtual-teacher anytime-anywhere to verify or even solve course-related tasks, especially in scientific courses such as math or physics formulas. The virtual-teacher is addressed in this study in the form of intermediate object. This object is built by merging data from three different resources: mobile learner profile, formulas profile, and location-based information. As a result, mobile learner will receive the location-aware personalised outcomes in form of answers that correspond to the pre-defined tasks. The instructors can also benefit from this adaptive model to demonstrate their lessons-related formulas, outside classrooms.

Keywords: formulas verification; location-based information; mobile learner; mobile learning management system; tasks solving. (search for similar items in EconPapers)
Date: 2017
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