This article is derived from the research project registered under number 20110343 (Ruiz, 2011), and developed in Escuela Superior de Cómputo del Instituto Politécnico Nacional (IPN) (School of Computer Sciences of the National Poly-technical Institute of Mexico). The article reports on the problems found among Engineering students with respect to their resistance to using different representation registers when solving optimization problems in the Calculus Learning Unit. Use of such registers could help the students to build mathematics know ledge and to solve calculus problems. As a didactic strategy, simulations are used in an electronic environment in order to support the students by fostering their use of tabular, graphical and algebraic representation registers. Interviews are undertaken of six of the professors who give the calculus courses, and a diagnostic questionnaire is applied to 68 students prior to and after working with the proposal. As for the theoretical framework, the work reported by Duval and Hitt is salient in this report, particularly their emphasis of the fact that working on activities by way of one single representation system is not sufficient. From the first responses provided by the students, one can conclude that the algebraic register is preferred by the majority of students. It is however used in a mechanical fashion without affording any meaning to the content of the problem and to the process of solving it. Another conclusion reported is that implementing tasks in the classroom in which the mathematics activity requires coherent use of different representations is necessary

The educational trend toward personalized learning requires the teacher to monitor the learning process continuously. This article presents mobile computing to administer a battery of cognitive tests based on a standard neuropsychological assessment of attention and concentration derived from Neuropsi ©. Currently, specialists perform this test by observing, measuring time, and taking notes of the process to obtain the final scores. Considering the use of this test as an assessment of students' cognitive abilities in a class, the time required for application and evaluation is a challenge itself. As for overcoming this difficulty, the process has been automated through the development of software. The goal is to provide the test to several users simultaneously on their own mobile devices. Then, it is evaluated both attention and concentration on the subject during the solution of the exercises. Variants of the exercises were provided to extent the Neuropsi options. All the collected information is stored on a server. Moreover, the system provides individual and group profiles to the evaluator, such as a teacher or instructor. Likewise, the provided compendium allows the specialist to identify changes in attention and concentration performance and supports their additional recommendations, as well as to go in deep in the research of the cognitive process providing an initial condition evaluation. This work proved that the concept raised by software specialists, designers, and psychologists is feasible into an interdisciplinary team.

En el presente artículo se muestra el desarrollo de un Plan Tutorial que permitió identificar y proponer estrategias que ayuden a los estudiantes de una de las Unidades Académicas del Instituto Politécnico Nacional (IPN), a evitar que incurran en prácticas de plagio tanto de trabajos académicos como de la resolución de problemas y ejercicios de áreas de formación básica.El estudio se apoya en  el paradigma sociocrítico pues se tuvo como finalidad  el que los estudiantes reflexionaran y tomaran conciencia de lo nocivo que es el incurrir en prácticas de plagio.Se trabajó con 60 estudiantes quienes cursaban dos unidades de aprendizaje de formación básica (Cálculo Aplicado y Probabilidad y Estadística). Para la toma de decisiones en el desarrollo del plan de acción fue indispensable conocer el perfil de los estudiantes, mismo que se pudo identificar mediante la fase de diagnóstico. Se muestran algunos otros factores que intervienen en la problemática considerada, factores de tipo  epistemológico, social, demográfico, didáctico, entre otros. Se emplearon instrumentos metodológicos como lo es el cuestionario y la entrevista, para recopilar información que permitió  realizar un análisis cuantitativo para determinar categorías  que condujeron a la realización de un análisis cualitativo, llegando a la determinación de estrategias que son sugeridas a los estudiantes como caminos que pueden seguir para dejar de realizar prácticas de plagio y formas que pueden ayudarles a mejorar su aprovechamiento académico en las asignaturas de matemáticas.

The curricular inclusion of topics, study plans, and teaching programs related to the study of Data Science has been trending mostly in higher-level education for the last years. However, the previous knowledge requirements for students to adequately assimilate these lessons are more specialised than the ones they obtain during secondary education. On the one hand, the interaction with complexes techniques and materials is needed, and on the other, tools to practice on-demand are required in the current learning. So, this is an excellent opportunity for the creation of data analysis tools for educational purpose that could be considered as a starting point of a broad area of application. This paper presents a pedagogical support tool aimed to facilitate the student approach to the basic knowledge of data mining through the practice of the analysis of online analytical processing (OLAP). It is a prototype that allows the visualisation of the multidimensional cubes generated with all possible combinations of the dimensions of the data set, as well as their storage in databases, the recovery operations for views, and the implementation of an algorithm for the selection of the optimal view set for materialising the set of records resulting from a search of the database, and computing the materialisation costs and total records recovered. The prototype also carries out and present recurrent patterns and association rules while considering factors such as support variables and reliability. All of this is steps are done explicitly to aid the students to comprehend the generation process of data cubes in the data mining discipline.

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