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Personalization Of Mobile Learning Tools For Low-Income Populations

By Vanessa Frias-martinez and Jesus Virseda


Abstract. The ubiquitous presence of cell phones in emerging economies has converted them in ideal platforms to cater services for underserved communities in areas like mobile learning. M-learning tools have proved successful in such challenging environments, specially for afterschool and vocational programs. A key component of that success is the personalization of the tools to the community and to particular individual needs. However, in order to tailor contents to the students, we first need a deep understanding of their learning abilities and preferences. Our findings show that there exist statistically significant differences in learning behaviors across gender and age. Finally, we propose a set of design suggestions that, based on the differences observed, attempt to personalize and adapt the mobile learning tool under study to enhance its educational impact in the low-income community.

Year: 2014
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