Do you think you spend too much time on your cell phone? For this generation, this device has become indispensable in everyday life. The internet is the main reason for globalization, and these devices, all together contain the best features of innovations and information technologies in a single object, making the cell phone the most popular device used by people around the world. This has produced enormous and evident changes in societies and people, for this reason, a study was done in which the use of cell phones was analyzed, focusing on the students of the Santo Tomas University. This study was carried out using sampling techniques to collect the information and subsequent estimates and multivariate analysis techniques to generate the validation of the survey and the indicators. The main results that were found were indications of addiction, which was manifested in anguish when not using their cell phone for long periods of time, as well as academic benefits under the correct use of the device.

TIMSS is an internationally applied instrument for measuring trends in Mathematics and Science achievement in the fourth grade of primary and eighth grade of secondary school. Given the design of these tests, it is possible to obtain traceable and comparable results, which allow governments of different nations to generate, maintain or eliminate public policies with the objective of improving their education system. Naturally, these tests have acquired great relevance at the global level. Considering the above, the objective of this academic work is to propose an estimator using Small Area Estimation that allows for improving the quality of the estimates currently obtained with the sampling design used in TIMSS 2015. In addition, this methodology allows us to estimate the result that would have been obtained by a country that did not present this test in 2015, but has auxiliary information related to academic achievement. To build the estimator of academic achievement, the Fay-Herriot model is used using auxiliary variables such as demographic and socioeconomic information and scores obtained in previous applications of the test. Finally, this paper will show that the use of Small Area Estimation in international tests improves the efficiency of the results obtained and, therefore, allows for better decision-making in education policy.