An adaptive hierarchical questionnaire based on the Index of Learning Styles

Proceedings of the Sixth International Workshop on Authoring of Adaptive and Adaptable HypermediaOne of the main concerns when providing learning style adaptation in Adaptive Educational Hypermedia Systems is the number of questions the students have to answer. With respect to learning styles, it is possible to decrease the number of versions taking into account the general tendency of the student and not the specific score obtained in each dimension. In this paper we present a new approach to reduce the number of questions of Index of Learning Styles (ILS) questionnaire based on Felder-Silverman’s Learning Style Model (FSLSM). The results obtained in a case study with 330 students are very promising. It was possible to predict students’ learning styles with high accuracy and only a few questions.This work is supported by the Spanish Ministry of Education and Science, TIN2007-6471

A method for supporting heterogeneous-group formation through heuristics and visualization

Group formation is a key issue in e-learning environments that make use of collaborative work to enhance student performance. While there are many ways to arrange students to work in cooperative groups, recent works have shown that learning styles offer good opportunities to organize students. Particularly, it seems the case that regarding learning styles, heterogeneous groups tend to perform better than groups formed by students with similar characteristics. This work addresses the issue of supporting the authors’ task of forming effective learner groups to improve student and group performance. This support is provided through a supervised method which, backed by a visualization tool, is able to produce groups with a good level of heterogeneity. Moreover, this method is not time-consuming for teachers.This project has been funded by the Spanish Ministry of Science and Education (TIN2007-64718) and Comunidad Autonoma de Madrid (S2009/TIC-1650)

An experience on the correlation analysis between academic marks and emotions

This article is an extended and modified version of a paper presented at the Third International Workshop on Adaptive Learning via Interactive, Collaborative and Emotional approaches (ALICE 2013), held on July 3-5, 2013, in Taichung, Taiwan, in conjunction with the 7th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2013)Observe appropriate evidence that pointing emotions plays an important role in the learning process. However, there is no precedent of a research analyzing the relationship between emotions and academic marks using text analysis. Thus, in this article, we show the experience we have performed in order to analyze the possible existing correlations between student marks, assigned by both their classmates and by their instructors, and the emotion traces that can be found in their writings. To that end, we gathered data corresponding to text contributions of a course on Computer Systems in our University and perform the correspondent analysis. The obtained results look to indicate that some kind of correlation exists between marks and emotions in both the highest and the lowest marks.This research was partially funded by the Spanish National Plan of R+D, project numbers TIN2010-17344, TIN2011-24139 and TIN2011-29542-C02-02, and by the Autonomous Community of Madrid, e-Madrid project, number S2009/TIC-1650

Effect of the contextual factors in competition on the performance of semi-professional soccer

Problem Statement: Soccer players may behave differently in competition depending on various characteristics of the environment around them, as well as the possible strengths and limitations of internal characteristics. In addition, there are some studies about the physical demands according to the results (winners vs. losers). Approach: Knowledge of contextual factors such as imbalance in decision making and physical behavior in soccer competition. Purpose: The aims of this study were to know the effect of contextual variables (match location, field dimensions, opponent level, and match outcome) on the physical performance of semi-professional soccer players and, to know the interaction between these factors to achieve sports success. Methods: One hundred forty events in Spanish male semi-professional soccer players during the 2021-2022 season were analysed. WIMU devices (SportTrack®) of 18 Hz. and SPRO software were used. T-test, one-way ANOVA, Chi-square, and logistic regression tests were performed. Results: A greater physical performance was shown when the team played at home and in large fields. Regarding the match outcome, players covered higher total distance and walking distance when they won (p < .05). In addition, the sports success in the competition was associated with the field dimensions and the opponent level (x2 [2, n=105] = 16.737, p = .000, x2 (2, n=96) = 8.304, p = .016; respectively). Conclusions: Contextual factors influenced the physical performance of semi-professional players in official competition. Field dimensions and opponent level affected the sports success in competition. This study has shown relevant information for the technical staff of the semi-professional soccer teams in order to propose new keys and ways of planning training sessions

Diagnóstico de los residuos de botellas de vidrio de bebidas alcohólicas en el casco urbano del municipio de Neiva.

Debido a una falta de aplicación de políticas regionales y locales en la separación y recuperación en los diferentes municipios de Colombia, se está presentando un incremento de adulteración de bebidas alcohólicas asociados a la recuperación informal de estos recipientes. Se desarrolló un proyecto aplicado en el año 2018 en la ciudad de Neiva que surge como propuesta a la falta de información sobre el manejo, recuperación y comercialización de los recipientes de botellas de vidrio, para ello se delimito el área de trabajo de acuerdo al POT, se identificó espacialmente los establecimientos nocturnos de mayor afluencia del casco urbano de la ciudad, localizados en las comunas 3,4 y 6; se determinó el proceso de disposición y recolección de estos residuos mediante el método de observación directa; se realizó una caracterización a 96 establecimientos comerciales para determinar el tipo de residuo, y tipos de recipientes de bebidas alcohólicas mayor a 20 grados alcoholimétricos; se realizó una entrevista a 8 empresas recuperadoras formalizadas. Se encontró que los habitantes de la calle realizan un proceso de separación especial a este tipo de residuos, el recipiente de mayor generación es el aguardiente con 34% de la muestra y el 100% de las empresas recuperadoras no recicla este material debido al bajo costo de comercialización.Due to a lack of application of regional and local policies in the separation and recovery in the different municipalities of Colombia, there is also an increase in the adulteration of alcoholic beverages associated with the informal recovery of these recipients. A project was implemented in 2018 in the city of Neiva that arises as a proposal for the lack of information on the management, recovery and marketing of glass bottle containers, for this purpose the work area is defined according to the POT , the nocturnal establishments with the highest influx of the urban area of the city, located in communes 3,4 and 6, were identified spatially; the process of disposal and collection of these wastes was determined by the method of direct observation; a characterization was made to 96 commercial establishments to determine the type of waste, and types of alcoholic beverage containers greater than 20 degrees of alcohol; An interview was conducted with 8 formalized recovery companies. It was found that the inhabitants of the street carry out a special separation process for this type of waste, the largest generation vessel is the brandy with 34% of the sample and 100% of the recovery companies do not recycle this material due to the low cost of marketing

Modding de equipos informáticos como herramienta de aprendizaje en áreas STEM

[◄ES] El empleo de actividades que permitan mantener activo el interés al alumnado en distintas materias es un instrumento fundamental para mejorar el aprendizaje y ampliar conocimientos en todas las áreas educativas. Modding, derivado de la jerga inglesa modify (modificar), es una técnica consistente en cambiar varios aspectos de equipos informáticos. Por un lado, hacer más atractiva la parte física del ordenador y, por otro, mejorar las prestaciones de dichos equipos. Mediante la experiencia Modding presentada en este trabajo, a los estudiantes se les plantea un concurso dentro de las áreas denominadas STEM (Science, Technology, Engineering and Mathematics) con el propósito de mejorar, tanto visualmente como en términos de rendimiento, equipos informáticos, muchos de ellos en desuso, pero todavía funcionales. El concurso está abierto a todos los niveles del centro educativo, de forma interdisciplinar, ya que son varios los departamentos y asignaturas que pueden participar por encontrarse recogidos parte de los contenidos trabajados en la actividad dentro del currículo docente. Además, dicha interdisciplinariedad se amplía también a niveles de educación superior, haciendo partícipe del concurso al Departamento de Informática de la Universitat de València. En concreto, este último será el encargado de presentar a los participantes las distintas mejoras a nivel hardware y software que se pueden incluir para mejorar el rendimiento de equipos, como por ejemplo la refrigeración líquida, o la importancia de la ventilación en sus prototipos.Rodríguez Ruiz, A.; Ortigosa Araque, N. (2019). Modding de equipos informáticos como herramienta de aprendizaje en áreas STEM. En INNODOCT/18. International Conference on Innovation, Documentation and Education. Editorial Universitat Politècnica de València. 465-470. https://doi.org/10.4995/INN2018.2018.8794OCS46547

A Review of the Preservation of Hard and Semi-Hard Cheeses: Quality and Safety

Cheese is a dairy product with potential health benefits. Cheese consumption has increased due to the significant diversity of varieties, versatility of product presentation, and changes in consumers’ lifestyles. Spoilage of hard and semi-hard cheeses can be promoted by their maturation period and/or by their long shelf-life. Therefore, preservation studies play a fundamental role in maintaining and/or increasing their shelf-life, and are of significant importance for the dairy sector. The aim of this review is to discuss the most effective methods to ensure the safety and sensory quality of ripened cheeses. We review traditional methods, such as freezing, and modern and innovative technologies, such as high hydrostatic pressures, chemical and natural vegetable origin preservatives, vacuum and modified atmosphere packaging, edible coatings and films, and other technologies applied at the end of storage and marketing stages, including light pulses and irradiation. For each technology, the main advantages and limitations for industrial application in the dairy sector are discussed. Each type of cheese requires a specific preservation treatment and optimal application conditions to ensure cheese quality and safety during storage. The environmental impact of the preservation technologies and their contribution to the sustainability of the food chain are discussed.Financial support was provided by the Basque Government (Research Groups IT944-16). Vitoria-Gasteiz. Spain

Authoring and dynamic generation of adaptive e-courses

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-27834-4_93Proceedings of the 4th International Conference, ICWE 2004, Munich, Germany, July 26-30, 2004.Adaptive hypermedia constitutes a pretty rich resource for developing web-based courses. With the aim of dynamically generating adaptive e-courses, we have developed the TANGOW system which, starting from the course components and their adaptation capabilities (specified independently and out of the adaptation engine), generates different courses for students with different profiles, supporting several adaptation strategies. An integral part of any adaptive hypermedia system is the set of authoring tools to specify the course components and their adaptation capabilities. Without adequate tool support, authors may feel that it is “not worth the effort” to add adaptation to their courses. However, the development of this type of tools is not an easy task. The main goal of our authoring and visualization tools is to provide a simple interface to create such courses. This demo would demonstrate i) the dynamic generation of tailored e-courses that include individual and collaborative activities and ii) the use of authoring tools for the creation of such courses

VIII Encuentro profesional de los bibliotecarios andaluces con la AAB

Resumen de los acontecido en los VIII Encuentro profesional de los bibliotecarios andaluces con la AAB, que se celebraron de manera virtual el 20 de marzo de 202

Approaching Sentiment Analysis by Using Semi-supervised Learning of Multidimensional Classifiers

Sentiment Analysis is defined as the computational study of opinions, sentiments and emotions expressed in text. Within this broad field, most of the work has been focused on either Sentiment Polarity classification, where a text is classified as having positive or negative sentiment, or Subjectivity classification, in which a text is classified as being subjective or objective. However, in this paper, we consider instead a real-world problem in which the attitude of the author is characterised by three different (but related) target variables: Subjectivity, Sentiment Polarity, Will to Influence, unlike the two previously stated problems, where there is only a single variable to be predicted. For that reason, the (uni-dimensional) common approaches used in this area yield suboptimal solutions to this problem. In order to bridge this gap, we propose, for the first time, the use of the novel multi-dimensional classification paradigm in the Sentiment Analysis domain. This methodology is able to join the different target variables in the same classification task so as to take advantage of the potential statistical relations between them. In addition, and in order to take advantage of the huge amount of unlabelled information available nowadays in this context, we propose the extension of the multi-dimensional classification framework to the semi-supervised domain. Experimental results for this problem show that our semi-supervised multi-dimensional approach outperforms the most common Sentiment Analysis approaches, concluding that our approach is beneficial to improve the recognition rates for this problem, and in extension, could be considered to solve future Sentiment Analysis problems