RUS  ENG
Full version
JOURNALS // Proceedings of the Institute for System Programming of the RAS // Archive

Proceedings of ISP RAS, 2022 Volume 34, Issue 3, Pages 89–110 (Mi tisp695)

Mobile learning platform focused on learning monitoring and customization: usability evaluation based on a laboratory study

H. del Angel-Floresa, E. López-Domínguezb, Y. Hernández-Velázquezc, S. Domínguez-Isidroa, M. Medina-Nietod, J. de la Callejad

a Laboratorio Nacional de Informática Avanzada
b Center for Research and Advanced Studies of the National Polytechnic Institute
c Universidad Veracruzana
d Polytechnic University of Puebla

Abstract: The learning customization and monitoring are considered key aspects of the teaching-learning processes. Some works have proposed mobile learning systems that provide teachers and students learning monitoring and personalization services. One of the main requirements of these kinds of systems in terms of software quality is usability; however, few works have addressed the usability issues using laboratory studies with users in real domains. In this work, we present a usability evaluation of the learning monitoring and personalization services of a mobile learning platform based on a laboratory study in which nine teachers and ten students participated. In our usability evaluation, the aspects evaluated were effectiveness, efficiency, and level of user satisfaction as proposed by the ISO/IEC 25000 family of standards. The results show that the teachers presented effectiveness, efficiency, and satisfaction considered satisfactory, while the students presented effectiveness and satisfaction classified as satisfactory and acceptable efficiency. The usability evaluation described in this work can serve as a reference for developers seeking to improve learning monitoring and personalization services development.

Keywords: mobile learning, learning customization, learning monitoring, software quality, usability evaluation

Language: English

DOI: 10.15514/ISPRAS-2022-34(3)-7



© Steklov Math. Inst. of RAS, 2025