Simulation of academic performance rates, estimation of indicators of subjects and of a complete degree

The purpose of this paper is to present a program written in Matlab-Octave for the simulation of the time evolution of student curricula, i.e, how students pass their subjects along time until graduation. The program computes, from the simulations, the academic performance rates for the subjects of the study plan for each semester as well as the overall rates, which are a) the efficiency rate defined as the ratio of the number of students passing the exam to the number of students who registered for it and b) the success rate, defined as the ratio of the number of students passing the exam to the number of students who not only registered for it but also actually took it. Additionally, we compute the rates for the bachelor academic degree which are established for Spain by the National Quality Evaluation and Accreditation Agency (ANECA) and which are the graduation rate (measured as the percentage of students who finish as scheduled in the plan or taking an extra year) and the efficiency rate (measured as the percentage of credits which a student who graduated has really taken). The simulation is done in terms of the probabilities of passing all the subjects in their study plan. The application of the simulator to Polytech students in Madrid, where requirements for passing are specially stiff in first and second year subjects, is particularly relevant to analyze student cohorts and the probabilities of students finishing in the minimum of four years, or taking and extra year or two extra years, and so forth. It is a very useful tool when designing new study plans. The calculation of the probability distribution of the random variable "number of semesters a student has taken to complete the curricula and graduate" is difficult or even unfeasible to obtain analytically, and this is even truer when we incorporate uncertainty in parameter estimation. This is why we apply Monte Carlo simulation which not only provides illustration of the stochastic process but also a method for computation. The stochastic simulator is proving to be a useful tool for identification of the subjects most critical in the distribution of the number of semesters for curriculum vitae (CV) completion and subsequently for a decision making process in terms of CV planning and passing standards in the University. Simulations are performed through a graphical interface where also the results are presented in appropriate figures. The Project has been funded by the Call for Innovation in Education Projects of Universidad Politécnica de Madrid (UPM) through a Project of its school Escuela Técnica Superior de Ingenieros Industriales ETSII during the period September 2010-September 2011.

Learning Analytics and Interactions in Virtual Learning Environments. A Comparative Study of Typologies and their Relationship with Academic Performance

Analysis of learning data (learning analytics) is a new research field with high growth potential. The main objective of Learning analytics is the analysis of data (interactions being the basic data unit) generated in virtual learning environments, in order to maximize the outcomes of the learning process; however, a consensus has not been reached yet on which interactions must be measured and what is their influence on learning outcomes. This research is grounded on the study of e-learning interaction typologies and their relationship with students? academic performance, by means of a comparative study between different interaction typologies (based on the agents involved, frequency of use and participation mode). The main conclusions are a) that classifications based on agents offer a better explanation of academic performance; and b) that each of the three typologies are able to explain academic performance in terms of some of their components (student-teacher and student-student interactions, evaluating students interactions and active interactions, respectively), with the other components being nonrelevant.

Predicting academic performance with learning analytics in virtual learning environments: A comparative study of three interaction classifications

Learning analytics is the analysis of static and dynamic data extracted from virtual learning environments, in order to understand and optimize the learning process. Generally, this dynamic data is generated by the interactions which take place in the virtual learning environment. At the present time, many implementations for grouping of data have been proposed, but there is no consensus yet on which interactions and groups must be measured and analyzed. There is also no agreement on what is the influence of these interactions, if any, on learning outcomes, academic performance or student success. This study presents three different extant interaction typologies in e-learning and analyzes the relation of their components with students? academic performance. The three different classifications are based on the agents involved in the learning process, the frequency of use and the participation mode, respectively. The main findings from the research are: a) that agent-based classifications offer a better explanation of student academic performance; b) that at least one component in each typology predicts academic performance; and c) that student-teacher and student-student, evaluating students, and active interactions, respectively, have a significant impact on academic performance, while the other interaction types are not significantly related to academic performance.

Teamwork, motivational profiles and academic performance in computer science engineering

The present work is aimed at discussing several issues related to the teamwork generic competence, motivational profiles and academic performance. In particular, we study the improvement of teamwork attitude, the predominant types of motivation in different contexts and some correlations among these three components of the learning process. The above-mentioned aspects are of great importance. Currently, the professional profile of engineers has a strong teamwork component and the motivational profile of students determines both their tendencies when they come to work as part of a team, as well as their performance at work. Taking these issues into consideration, we suggest four hypotheses: (H1) students improve their teamwork capacity through specific training and carrying out of a set of activities integrated into an active learning process; (H2) students with higher mastery motivation have a better attitude towards teamwork; (H3) students with different types of motivations reach different levels of academic performance; and (H4) students show different motivation profiles in different circumstances: type of courses, teaching methodologies, different times of the learning process. This study was carried out with Computer Science Engineering students from two Spanish universities. The first results point to an improvement in teamwork competence of students if they have previously received specific training in facets of that competence. Other results indicate that there is a correlation between the motivational profiles of students and their perception of teamwork competence. Finally, results point to a clear relationship between some kind of motivation and academic performance. In particular, four kinds of motivation are analyzed and students are classified into two groups according to them. After analyzing several marks obtained in compulsory courses, we perceive that those students that show higher motivation for avoiding failure obtain, in general, worse academic performance.

Student academic performance stochastic simulator based on the Monte Carlo method

In this paper, a computer-based tool is developed to analyze student performance along a given curriculum. The proposed software makes use of historical data to compute passing/failing probabilities and simulates future student academic performance based on stochastic programming methods (MonteCarlo) according to the specific university regulations. This allows to compute the academic performance rates for the specific subjects of the curriculum for each semester, as well as the overall rates (the set of subjects in the semester), which are the efficiency rate and the success rate. Additionally, we compute the rates for the Bachelors degree, which are the graduation rate measured as the percentage of students who finish as scheduled or taking an extra year and the efficiency rate (measured as the percentage of credits of the curriculum with respect to the credits really taken). In Spain, these metrics have been defined by the National Quality Evaluation and Accreditation Agency (ANECA). Moreover, the sensitivity of the performance metrics to some of the parameters of the simulator is analyzed using statistical tools (Design of Experiments). The simulator has been adapted to the curriculum characteristics of the Bachelor in Engineering Technologies at the Technical University of Madrid(UPM).

Relationships among multiple intelligences, motor performance and academic achievement in secondary school children

This study examines the relationships between multiple intelligences, academic achievement and motor performance in a group of secondary school children. Four hundred and eighty schoolchildren participated in this study (171 female and 309 male) with an average age of 13.33 years (SD: 1.41). The Revised self-efficacy Inventory for Multiple Intelligences (IAIM-R) and the motor test Sportcomp were applied, and the average results of the academic year they had made were obtained. The analysis of the results showed how female scored significantly higher on the Linguistic, Spatial and Interpersonal intelligences, and older pupils scored significantly higher on the linguistic and naturalistic intelligences. It was the logical-mathematical intelligence which showed significant relationships with academic performance and it was the intelligence that better predicted this achievement. It was the bodily-kinesthetic intelligence that was significantly related to motor competence and the best intelligence that predicted its achievement. Finally, indicate that schoolchildren with better scores in the motor test were those who scored higher in both academic achievement and all the multiple intelligences, with the exception of musical intelligence.

Teamwork competence and academic motivation in computer science engineering studies.

The present work is focused on studying two issues: the “teamwork” generic competence and the “academic motivation”. Currently the professional profile of engineers has a strong component of teamwork. On the other hand, motivational profile of students determines their tendencies when they come to work in team, as well as their performance at work. In this context we suggest four hypotheses: (H1) students improve their teamwork capacity by specific training and carrying out a set of activities integrated into an active learning process; (H2) students with higher mastery motivation have better attitude towards team working; (H3) students with higher mastery motivation obtain better results in academic performance; and (H4) students show different motivation profiles in different circumstances: type of courses, teaching methodologies, different times of the learning process. This study was carried out with computer science engineering students from two Spanish universities. The first results point to an improvement in teamwork competence of students if they have previously received specific training in facets of that competence. Other results indicate that there is a correlation between the motivational profiles of students and their perception about teamwork competence. Finally, and contrary to the initial hypothesis, these profiles appear to not influence significantly the academic performance of students.

A characterisation of passive and active interactions and their influence on student's achievement using Moodle LMS Logs

During the last years, there has been much concern about learning management systems' (LMS) effectiveness when compared to traditional learning and about how to assess students' participation during the course. The tracking and monitoring capabilities of most recent LMS have made it possible to analyse every interaction in the system. The issues addressed on this study are: a) Is LMS student's interaction an indicator of academic performance?; b) Are different results in performance expected between distance and in-class LMS-supported education?; c) How can LMS interactions from logs be categorised?; d) May this categorisation detect 'learning witnesses'? To answer these questions, a set of interaction types from Moodle LMS activity record logs has been analysed during two years in online and in-class Master's degrees at the UPM. The results show partial or no evidence of influence between interaction indicators and academic performance, although the proposed categorisation may help detect learning witnesses.

Measuring the influence of Cooperative Learning and Project Based Learning on problem solvin skill.

The aim of this study is to evaluate the effects obtained after applying two active learning methodologies (cooperative learning and project based learning) to the achievement of the competence problem solving. This study was carried out at the Technical University of Madrid, where these methodologies were applied to two Operating Systems courses. The first hypothesis tested was whether the implementation of active learning methodologies favours the achievement of ?problem solving?. The second hypothesis was focused on testing if students with higher rates in problem solving competence obtain better results in their academic performance. The results indicated that active learning methodologies do not produce any significant change in the generic competence ?problem solving? during the period analysed. Concerning this, we consider that students should work with these methodologies for a longer period, besides having a specific training. Nevertheless, a close correlation between problem solving self appraisal and academic performance has been detected.

Tutoring and mentoring project for foreign students of forest engineering degrees

We present an innovative educational project dedicated to improve the academic performance of foreign students by enhancing the integration of international students during their academic attendance in the programs offered at Universidad Politécnica de Madrid?s School of Forest Engineering (Spain).

Active learning and generic competences in an operating systems course

The Bologna Declaration and the implementation of the European Higher Education Area are promoting the use of active learning methodologies. The aim of this study is to evaluate the effects obtained after applying active learning methodologies to the achievement of generic competences as well as to the academic performance. This study has been carried out at the Universidad Politécnica de Madrid, where these methodologies have been applied to the Operating Systems I subject of the degree in Technical Engineering in Computer Systems. The fundamental hypothesis tested was whether the implementation of active learning methodologies (cooperative learning and problem based learning) favours the achievement of certain generic competences (‘teamwork’ and ‘planning and time management’) and also whether this fact improved the academic performance of our students. The original approach of this work consists in using psychometric tests to measure the degree of acquired student’s generic competences instead of using opinion surveys, as usual. Results indicated that active learning methodologies improve the academic performance when compared to the traditional lecture/discussion method, according to the success rate obtained. These methods seem to have as well an effect on the teamwork competence (the perception of the behaviour of the other members in the group) but not on the perception of each students’ behaviour. Active learning does not produce any significant change in the generic competence ‘planning and time management'.

Cooperative Learning vs. Project Base Learning.

The Bologna Declaration and the implementation of the European Higher Education Area are promoting the use of active learning methodologies such as cooperative learning and project based learning. This study was motivated by the comparison of the results obtained after applying Cooperative Learning (CL) and Project Based Learning (PBL) to a subject of Computer Engineering. The fundamental hypothesis tested was whether the academic success achieved by the students of the first years was higher when CL was applied than in those cases to which PBL was applied. A practical case, by means of which the effectiveness of CL and PBL are compared, is presented in this work. This study has been carried out at the Universidad Politécnica de Madrid, where these mechanisms have been applied to the Operating Systems I subject from the Technical Engineering in Computer Systems degree (OSIS) and to the same subject from the Technical Engineering in Computer Management degree (OSIM). Both subjects have the same syllabus, are taught in the same year and semester and share also formative objectives. From this study we can conclude that students¿ academic performance (regarding the grades given) is greater with PBL than with CL. To be more specific, the difference is between 0.5 and 1 point for the individual tests. For the group tests, this difference is between 2.5 and 3 points. Therefore, this study refutes the fundamental hypothesis formulated at the beginning. Some of the possible interpretations of these results are referred to in this study.

Caracterización de ambientes sonoros en recintos universitarios: influencia del ruido sobre procesos cognitivos básicos

El interés por el estudio de la problemática del ruido en las escuelas y sus efectos sobre los estudiantes a nivel universitarios, es un tema que no ha sido estudiado debidamente. Desgraciadamente, en el ámbito educativo universitario, no existen regulaciones específicas que permitan determinar parámetros preventivos, ni procedimientos de evaluación de ruido dentro de este tipo de instalaciones educativas. Debido a la importancia de los efectos que el ruido tiene sobre la salud y la calidad de vida de los estudiantes universitarios, y consecuentemente en el rendimiento académico; es de suma importancia desarrollar mecanismos que estudien y planteen soluciones que ayuden a garantizar la mejora de la calidad de vida de la población estudiantil. En este trabajo se ha presentado un extenso trabajo que incluye el estudio de los ambientes sonoros a los que los estudiantes universitarios se ven expuestos día a día y se proponen acciones que ayudan a mejorar la calidad acústica en instalaciones educativas. Así mismo se evidencian los efectos que tiene este contaminante sobre la salud psicológica y por consecuencia en el desarrollo intelectual de los estudiantes. Por un lado, se incluye una propuesta de metodología que ayuda a la correcta caracterización de los ambientes sonoros en los cuales se desarrollan los estudiantes a nivel universitario. Esta se realizó haciendo un completo registro de los niveles sonoros durante sus actividades diarias. Así mismo, una encuesta fue aplicada a estudiantes para conocer la percepción que se tiene sobre las condiciones sonoras en ambientes universitarios. Así mismo, se realizó un estudio de la calidad sonora en instalaciones universitarias, el cual deriva la valoración de la molestia al ruido. Se propone una escala de valoración de molestia al ruido, la cual deriva el diseño de una propuesta con acciones de bajo coste frente al ruido. Por otro lado, se evidencian los trastornos que ocasiona este contaminante sobre la salud psicológica de los estudiantes y que afectan el desarrollo académico de estos. Se realizó primeramente la valoración de la atención y la memoria por medio de test psicométricos estandarizados y otros diseñados para este estudio en particular. Por último, con la finalidad de obtener datos objetivos y confiables que permitieron relacionar la influencia negativa del ruido de fondo sobre procesos cognitivos básicos como la atención y la memoria, se llevó a cabo un estudio de la actividad cerebral. Para llevar a cabo esta evaluación se utilizó como principal herramienta el electroencefalograma (EEG), enfocándose en los cambios producidos con y sin exposición a ruido de fondo, específicamente en las bandas de frecuencia relacionadas con procesos cognitivos básicos como los son la atención y la memoria, en este caso la banda theta (4-7 Hz) y la banda beta (13-30 Hz). ABSTRACT The interest in the study of the problem of noise in schools and its impact on students at university level is a topic that has not been properly studied. Unfortunately, there are no specific regulations for determining preventive parameters or noise assessment procedures in university facilities. Due to the importance of the effects that noise has on health and on the quality of life of university students, and consequently on academic performance; is very important to develop mechanisms to evaluate and design solutions that help ensure an improvement in the quality of life of the student population. This thesis has presented an extensive work, which includes the study of the state of the art on the problem of noise in the sound environments to which university students are exposed every day, and the effects on students mainly on attention aspects. On one hand, a general study of the common noise environments of life of university students was carried out, where a methodological proposal is included and that helps in the correct characterization of the sound environments in which university students grow. This proposal includes the assessment of noise exposure, noise dose and a recording of the characteristic sound levels during their daily activities in and out spaces dedicated to their education. Also, a survey was conducted to know the perception that students have on noise conditions in university environments. Also, a method for evaluation of the noise annoyance is proposed, this is through the correlation of two known methods of evaluation. The first method is based on psychoacoustic parameters that allow the evaluation of the sound quality. These parameters were related, obtaining as a result the parameter known as psychoacoustics annoyance. The second method is based on a questionnaire in conjunction with listening tests in specific sound environments. Derived from the correlation of these two methods, a series of indicators of noise annoyance are proposed, which entails the design of a noise annoyance indicator. Furthermore, the effects of this pollutant on psychological health and therefore in the intellectual development of students has been shown. First, an evaluation of attention and memory using standardized psychometric tests were performed and others designed for this particular study. Because it has been evidenced that the use of these psychometric tests are not very reliable, we sought to obtain another objective and reliable data to show the relationship between the negative influence of background noise on basic cognitive processes such as attention and memory. This was achieved by carrying out a study of the brain activity. To carry out this evaluation the electroencephalogram (EEG) was used as the main tool, focusing on the changes produced with and without exposure to background noise, specifically in the frequency bands related to basic cognitive processes such as attention and are memory. In this case the band theta (4-7 Hz) and beta band (13-30 Hz) were studied. The purpose of this thesis is to establish the bases for future studies that allow go deep in the study of the sound conditions in school environments, and enable the design of strategies and measures against noise and the correct evaluation of the effects of noise on aspects for improving the psychological quality of life and academic performance of students.

Assessment for English language education on the programs at the Agricultural Engineering School of Madrid

The convergence process among European academic degrees pursues the exchange of graduate students and the adaptation of university programs to social demand. Within the framework of the European Higher Education, European universities will need to be more competitive not only by increasing or maintaining the student enrolment, but also in their academic performance. Thus, the reinforcing of English language education within the University Programs might play an important role to reach these objectives. In this sense, a complete survey was accomplished at the Agricultural Egineering School of Madrid (ETSIA ) addressing issues such as: identification the needs for bilingual instruction at ETSIA, identification resources needed and interest and background in English language of students and professors (San José et al., 2013). The conclusions and recommendations to promote the bilingual instruction in the ETSIA, taking into account the approaches followed by other Spanish universities, are presented in this work.

A friendly online C compiler to improve programming skills based on student self-assessment

This paper presents an online C compiler designed so that students can program their practical assignments in Programming courses. What is really innovative is the self-assessment of the exercises based on black-box tests and train students’ skill to test software. Moreover, this tool lets instructors, not only proposing and classifying practical exercises, but also evaluating automatically the efforts dedicated and the results obtained by the students. The system has been applied to the 1st-year students at the Industrial Engineering specialization at the Universidad Politecnica de Madrid. Results show that the students obtained better academic performance, reducing the failure rate in the practical exam considerably with respect to previous years, in addition that an anonymous survey proved that students are satisfied with the system because they get instant feedback about their programs.