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.

A high-risk pregnancy is one in which pathological problems or abnormal conditions are latent during pregnancy and childbirth, increasing dangers to the mother’s or the infant’s health. Based on international standards and studies, most of the harms and risks to both the mother and the infant can be detected, treated, and prevented through proper pregnancy monitoring, as well as through appropriate and timely diagnosis. In this paper, we present the analysis, design, development, and usability assessment of a telemonitoring system focused on the remote monitoring and control of pregnancy in women suffering from hypertension, diabetes, or high-risk pregnancy. Our system is composed of two mobile web applications. One of these is designed for the medical area, allowing remote monitoring of the patient’s pregnancy, and the other one is directed towards the patient, who enters the alarm symptom data, hypertension data, diabetes data, and clinical analyses, allowing the detection of a risk situation on time. Furthermore, we performed a usability assessment of our system based on a laboratory study with seven doctors and seven patients to evaluate the users’ satisfaction. Our telemonitoring system shows a satisfactory/favorable opinion from the users’ perspectives based on the obtained results.

According to the International Diabetes Federation, in 2019, approximately 416.7 million people worldwide suffered from type 2 diabetes mellitus (T2DM). T2DM is a chronic degenerative disease of long term and slow progression. This condition requires a strict follow-up by physicians and nutritionists, combined with rigorous adherence to treatment by the patient to avoid possible complications. In this context, this paper describes the analysis, design, development, and preliminary usability assessment of a telemonitoring system focused on the monitoring, control, and remote nutritional therapy of people with T2DM. The proposed system comprises two mobile web applications, one focused on the patient and another oriented to physicians and nutritionists. The central services that our system provides to the patient and health personnel are: generate risk alerts; consult food menu options; receive recommendations; consult results of the food intake frequency questionnaire; patient history management; record anthropometry of patients, and review health education material. We carry out a preliminary usability assessment of our system based on a field study with four physicians, two nutritionists, and seven patients with T2DM. Based on the obtained results, our telemonitoring system shows a satisfactory/favorable opinion in terms of usability from the users’ perspective.

Annually, in Mexico, the National Institute of Statistics and Geography publishes a dataset called Module on Cyberbullying (MOCIBA). The article presents the evaluation of the quality of data collected in 2021 based on the ISO/IEC 25012 standard with the aim of promoting the reuse of public information distributed as open data. A mixed methodology of search and review of the dataset, its 277 catalogs, data dictionary, questionnaire, report of main results and metadata was implemented. The results are: semantic accuracy (99%), syntactic accuracy (100%), completeness (96%), consistency (100%), credibility (100%), timeliness (100%), accessibility (100%), conformity (100%), precision (100%), comprehensibility (93%), efficiency (60%), availability (100%) and portability (100%). Subsequently, an ontology written in Spanish language is described, this formally represents the concepts and their relationships from the documents of MOCIBA 2021.