Open University of Catalonia

About: Open University of Catalonia is a education organization based out in Barcelona, Spain. It is known for research contribution in the topics: Context (language use) & Higher education. The organization has 1943 authors who have published 4646 publications receiving 64200 citations. The organization is also known as: Universitat Oberta de Catalunya & UOC.

Effect of Verb Argument Structure on Picture Naming in Children with and without Specific Language Impairment (SLI).

Abstract: Background: This study investigated verb argument structure effects in children with specific language impairment (SLI). Aims: A picture-naming paradigm was used to compare the response times and naming accuracy for nouns and verbs with differing argument structure between Spanish-speaking children with and without language impairment. Methods & Procedures: Twenty-four children with SLI (ages 5;3–8;2 [years;months]), 24 age-matched controls (ages 5;3–8;2), 24 MLU-w controls (ages 3;3–7;1 years), and 31 adults participated in a picture-naming study. Outcomes & Results: The results show all groups produced more correct responses and were faster for nouns than all verbs together. As regards verb type accuracy, there were no differences between groups in naming one-argument verbs. However, for both two- and three-argument verbs, children with SLI were less accurate than adults and age-matched controls, but similar to the MLU-matched controls. For verb type latency, children with SLI were slower than both the age-matched controls and adults for one- and two-argument verbs, while no differences were found in three-argument verbs. No differences were found between children with SLI and MLU-matched controls for any verb type. Conclusions & Implications: It has been shown that the naming of verbs is delayed in Spanish children with SLI. It is suggested that children with SLI may have problems encoding semantic representations.

Uso del móvil y las redes sociales como canales de verificación de fake news. El caso de Maldita.es

Abstract: The viral diffusion of information in social networks, mobile devices and messaging services favors the sharing of false and unverified news. Spain is one of the European countries that leads the reception of this type of content. This article analyzes the case of Maldita.es, a platform that identifies fake news and combats misinformation. The analysis is focused on four points: mobiles as working devices, social networks as a channel for the viralization of hoaxes and denials, the organization of verification, and the organizational model. The results show that mobile devices and social networks are the two pillars of the project: they allow to organize the information input and output, as well as the tasks of the team, and help to carry out a multiple verification work.

Games and simulation in higher education

Abstract: The evolution of computer technologies, together with the increasing speed of Internet-based communications, has promoted the use of simulation software and serious games in higher education. These technological and methodological tools can significantly enrich the learning experience in almost any knowledge area. In particular, they will have a significant impact on how the learning process is performed in the so called Science, Technology, Engineering, and Mathematics (STEM) education. This thematic series brings together several articles related to the use of serious games and simulations in higher education. Technological and pedagogical characteristics of these innovative learning tools are explored through this series, alongside their cultural, technological, and/or social contexts. Among others, the selected articles explore topics such as: (i) the benefits of teaching practices, based on the utilisation of games and simulations, for institutions, professors, and students; (ii) the use of video games and apps to increase student engagement, retention, and academic achievement; (iii) the enrichment of simulation-based learning scenarios by the incorporation of the tactile experience to the more traditional visual and hearing ones; (iv) the use of adapted virtual learning environments that simulate real-life environments; and (v) the analysis of collaborative intergenerational interaction throughout digital games. In our view, the use of games and simulation in higher education is yet in its early stage, but thanks to the current state of these technological tools and to the high degree of acceptance among the new generations of students and instructors, it seems quite evident to us that their increasing incorporation in higher education systems around the world is just a question of time. A short description of each of the selected articles is provided next:

A Biased-Randomized Iterated Local Search Algorithm for Rich Portfolio Optimization

Abstract: This research develops an original algorithm for rich portfolio optimization (ARPO), considering more realistic constraints than those usually analyzed in the literature. Using a matheuristic framework that combines an iterated local search metaheuristic with quadratic programming, ARPO efficiently deals with complex variants of the mean-variance portfolio optimization problem, including the well-known cardinality and quantity constraints. ARPO proceeds in two steps. First, a feasible initial solution is constructed by allocating portfolio weights according to the individual return rate. Secondly, an iterated local search framework, which makes use of quadratic programming, gradually improves the initial solution throughout an iterative combination of a perturbation stage and a local search stage. According to the experimental results obtained, ARPO is very competitive when compared against existing state-of-the-art approaches, both in terms of the quality of the best solution generated as well as in terms of the computational times required to obtain it. Furthermore, we also show that our algorithm can be used to solve variants of the portfolio optimization problem, in which inputs (individual asset returns, variances and covariances) feature a random component. Notably, the results are similar to the benchmark constrained efficient frontier with deterministic inputs, if variances and covariances of individual asset returns comprise a random component. Finally, a sensitivity analysis has been carried out to test the stability of our algorithm against small variations in the input data.