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Mobile Devices in Education: Impact on Students with Incomplete Education
(2026)
Alulima, Lidya
This study investigates the impact of mobile devices on the motivation and learning of young people and adults with incomplete education, in a context where mobile technology offers new educational opportunities. The aim is to analyze how mobile devices, especially through educational applications, influence the learning, motivation and academic performance of these students. A mixed methodology was used, combining quantitative and qualitative surveys to measure interest, academic performance and explore users’ experiences with educational platforms. Quantitative findings show a notable increase in engagement and academic performance, while qualitative data reveal that the flexibility and accessibility of mobile devices are key factors in this process. This work demonstrates the potential of mobile devices to support the educational reintegration of youth and adults in non-traditional contexts, offering innovative solutions to overcome barriers to learning in populations with incomplete education. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
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An Empathetic Design Approach to Digital Transformation from Legacies Web
(2026)
Viviana Cajas
;
Matias Urbieta
;
Sánchez Montero, Ivanna Karina
;
Paulina Ponce-Villacís
;
Patricio Morejón-Hidalgo
Software Systems are designed to run on specific devices but eventually, a new one arises that may not be apt to run the system. Time ago, Web apps were intended mostly for desktop devices; then the arrival of the mobile devices required to revisit UI layouts, and later Smart devices allowed a more sophisticated user experience. During the development process, there was no clear definition of the technology adoption roadmap that affects the access from new devices like Smart TVs or Smart Watches. As long as time goes by, applications become legacy because of many reasons like lack of maintenance or the advancement of new incompatible devices. This study’s main contribution to these limitations is an empathetic approach to assist this migration of legacy apps to new devices based on Markov chains that are a predictive user behavior method. Available functionality is prioritized, the experience of User Interface is re-thought, and the new experience is designed. We report the experience of applying the approach to a legacy app with an experiment performed by fifteen participants. The outcome highlights that a dynamic user interface based on the Markov model provides improved usability metrics of the ISO for the users, evidenced in the productivity labor, Fitt’s and Hick’s laws, the efficiency, the effectiveness, and satisfaction through comparison between versions. This work suggests this model makes possible a smart and proactive interface design plus the age and interests responsive web contributing to the economy of context
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