Direct and indirect effects of education on job satisfaction: A structural equation model for the Spanish case

Empirical literature has traditionally analyzed the effect of education on job satisfaction with single-equation models that ignore interrelationships between theoretical explanatory variables. Their results are somewhat inconclusive. We propose estimating a structural equation model to obtain both the direct effects and the set of indirect effects. Analysis of these effects allows us to explain the apparent contradictions that have existed to date, and to improve knowledge of the economic value of education. The proposed model shows that people with higher levels of formal education are more satisfied with their jobs, because they are more likely to access jobs with characteristics that provide greater satisfaction.     

Does lengthening the school day increase students’ academic achievement? Results from a natural experiment in Chile

This study (an impact evaluation of the Chilean full school day program) uses difference-in-differences to estimate the effect of a large increase in instructional time on high school students’ academic achievement. The main findings are (i) the program had a positive effect on students’ achievement in both mathematics and language; (ii) the effect-size on language achievement was 0.05–0.07 standard deviations and not sensitive to control for covariates, different control groups, and historical trends; (iii) the effect on mathematics achievement was not sensitive to control for covariates, but was sensitive to use different control groups, and historical trends; the effect-size on mathematics achievement ranged from 0.00 to 0.12 standard deviations; and (iv) the program effect has been constant over time. Finally, there is evidence suggesting that the program had larger positive effects on rural students, students who attended public schools, and students situated in the upper part of the achievement distribution.     

Building user profiles based on sequences for content and collaborative filtering

Modeling user profiles is a necessary step for most information filtering systems – such as recommender systems – to provide personalized recommendations. However, most of them work with users or items as vectors, by applying different types of mathematical operations between them and neglecting sequential or content-based information. Hence, in this paper we study how to propose an adaptive mechanism to obtain user sequences using different sources of information, allowing the generation of hybrid recommendations as a seamless, transparent technique from the system viewpoint. As a proof of concept, we develop the Longest Common Subsequence (LCS) algorithm as a similarity metric to compare the user sequences, where, in the process of adapting this algorithm to recommendation, we include different parameters to control the efficiency by reducing the information used in the algorithm (preference filter), to decide when a neighbor is considered useful enough to be included in the process (confidence filter), to identify whether two interactions are equivalent (δ-matching threshold), and to normalize the length of the LCS in a bounded interval (normalization functions). These parameters can be extended to work with any type of sequential algorithm.We evaluate our approach with several state-of-the-art recommendation algorithms using different evaluation metrics measuring the accuracy, diversity, and novelty of the recommendations, and analyze the impact of the proposed parameters. We have found that our approach offers a competitive performance, outperforming content, collaborative, and hybrid baselines, and producing positive results when either content- or rating-based information is exploited.     

Modelling the success of learning management systems: application of latent class segmentation using FIMIX-PLS

There is not a unique attitude towards the implementation of digital technology in educational sceneries. This paper aims to validate an adaptation of the DeLone and McLean information systems success model in the context of a learning management system. Furthermore, this study means to prove (1) the necessity of segmenting students in order to fit the model more accurately and (2) the impact of other new Internet tools on students’ perceptions with regard to learning management systems. Partial least squares has been used to analyse the measurement and the structural model. Subsequently, the Finite Mixture Partial Least Squarestechnique has been employed to examine unobserved heterogeneity and to find users’ segments. The results of this research indicate that to segment between two groups of students is especially useful in order to improve the understanding of the success of a learning management system. This segmentation is made according to the importance which the students attribute to the new Internet tools to support their learning.     

Primary school student and teacher perceptions of competency-based learning / Percepción de alumnado y profesorado de Educación Primaria sobre el aprendizaje de los estudiantes basado en competencias

In the search for an educational system that enables students to achieve the best academic results, it is extremely important to explore the perception of the main educational agents: students and teachers. Therefore, the objectives of this paper were: (a) to analyse primary school student and teacher perceptions of students’ competency-based learning; (b) to assess the possible differences between them; and (c) to test hypothetical models for predicting learning according to their perception. The participants were 8,513 students from 58 schools and 1,010 teachers from 110 schools. Overall, both teachers and students reported high scores of perception. However, the perception of the students was higher than that of the teachers, except for the digital competence. While the results showed differences in perception between both prediction models of competency-based learning, both groups perceived the competences of autonomy and personal initiative, digital competence, social competence and citizenship, and lifelong learning as core elements of their perception. In this regard, initial and ongoing teacher training in innovative pedagogical models is needed to enable the development of these competences, which are predictors of perceived learning.     

Windows of opportunities: Nordic perspectives on sexual diversity in education

The Nordic countries have often been depicted as progressive societies regarding sexual diversity and gender equality. These progressive changes in sexual minority issues, however, have not brought about radical changes in educational policies in addressing gender and sexual equality in schools. Both compulsory and upper secondary education often lack coherent protection of queer students. The same applies to specific policies on queer issues within the education system; they are hidden in the depths of many national curricula. In fact, a discrepancy exists in broader social policies supporting equality based on sexual orientation in the educational context. The main objective of this article is to investigate this discrepancy and justify it. In doing so, we will discuss in detail the educational policies and practices on sexualities currently operating in the Nordic area, particularly in Finland and Iceland. We analyse curricula documents, legislation, research reports, and other data from our own research projects, including ethnographic interviews, observation data, survey data, and written material.     

Oxidative stress in elite athletes training at moderate altitude and at sea level

Using a controlled parallel group longitudinal trial design, we investigated the effects of different training interventions on the prooxidant/antioxidant status of elite athletes: living and training at moderate altitude for 3 (Hi-Hi3) and 4 weeks (Hi-Hi), and for 4 weeks too, living high and training high and low (Hi-HiLo) and living and training at sea level (Lo-Lo). From 61 swimmers, 54 completed the study. Nitrites, carbonyls, and lipid peroxidation (LPO) levels were assessed in plasma. Enzymatic antioxidants glutathione peroxidase (GPx) and glutathione reductase (GRd), and non-enzymatic antioxidants total glutathione (GST), reduced glutathione (GSH) and oxidized glutathione (GSSG) were analysed in the erythrocyte fraction. At the end of the intervention, nitrites levels were similar in all altitude groups but higher than in the Lo-Lo controls (P?=?.02). Hi-HiLo had greater GPx activity than Hi-Hi and Hi-Hi3 during most of the intervention (P?≤?.001). GRd activity was higher in Lo-Lo than in Hi-Hi at the end of the training camp (P?≤?.001). All groups showed increased levels of LPO, except Lo-Lo, and carbonyls at the end of the study (P?≤?.001). Training at altitude for 3 or 4 weeks drives oxidative stress leading to cellular damage mainly by worsening the antioxidant capacities. The GSSG/GSH ratio appears to be related to perceived exertion and fatigue. The stronger antioxidant defence showed by the Hi-HiLo group suggests an inverse relationship between redox alterations and performance. Further studies are required to investigate the role of oxidative stress in acclimatization, performance, and health.