How players exploit variability and regularity of game actions in female volleyball teams

Variability analysis has been used to understand how competitive constraints shape different behaviours in team sports. In this study, we analysed and compared variability of tactical performance indices in players within complex I at two different competitive levels in volleyball. We also examined whether variability was influenced by set type and period. Eight matches from the 2012 Olympics competition and from the Portuguese national league in the 2014–2015 season were analysed (1496 rallies). Variability of setting conditions, attack zone, attack tempo and block opposition was assessed using Shannon entropy measures. Magnitude-based inferences were used to analyse the practical significance of compared values of selected variables. Results showed differences between elite and national teams for all variables, which were co-adapted to the competitive constraints of set type and set periods. Elite teams exploited system stability in setting conditions and block opposition, but greater unpredictability in zone and tempo of attack. These findings suggest that uncertainty in attacking actions was a key factor that could only be achieved with greater performance stability in other game actions. Data suggested how coaches could help setters develop the capacity to play at faster tempos, diversifying attack zones, especially at critical moments in competition.     

Using the Internet to Improve University Education: Problem-Oriented Web-Based Learning with MUNICS

Up to this point, university education has largely remained unaffected by the developments of novel approaches to web-based learning. The paper presents a principled approach to the design of problem-oriented, web-based learning at the university level. The principles include providing authentic contexts with multimedia, supporting collaborative knowledge construction, making thinking visible with dynamic visualisation, quick access to content resources via information and communication technologies, and flexible support by tele-tutoring. These principles are used in the MUNICS learning environment, which is designed to support students of computer science to apply their factual knowledge from the lectures to complex real-world problems. For example, students may model the knowledge management in an educational organisation with a graphical simulation tool. Some more general findings from a formative evaluation study with the MUNICS prototype are reported and discussed. For example, the students’ ignorance of the additional content resources is discussed in the light of the well-known finding of insufficient use of help systems in software applications.     

Learning to live together. The contribution of school

The paper we present is a biographical qualitative study on the school experience and its repercussions on the lives of young people. The paper has two aims: (1) to understand the repercussions of school experiences on the construction of personal identity, and (2) to incorporate the voices of alumni into a reflection on the present and future challenges facing primary education. The study is framed by the movement known as student voice. For this purpose, the interpretations ex-students were collected through in-depth interviews. The conclusions reveal the persistent effects of the school experience over the years as young people establish a sense of identity. The young people explain the attitudes and abilities that make up their way of living, and they relate this to what they learned in their early childhood and primary education.     

Teacher education and the choice to enter the teaching profession: A prospective study

This two-wave survey study aimed at testing a hypothetical model of teacher education graduates’ decisions about whether or not to take a teaching position upon graduation. The model focuses on the relationship between teacher education and graduates’ choice on job entrance. Using path analysis and logistic regression, this model was tested in a sample of student teachers (n = 436), subsequently graduates (n = 251) of teacher training for secondary education. The results validate the relationship between teacher education variables and nearly graduates’ intention to enter the teaching profession. Furthermore, this intention proves an imperative predictor of graduates’ actual entrance.     

Electroencephalographic Coherence and Learning: Distinct Patterns of Change During Word Learning and Figure Learning Tasks

One likely mechanism in learning new skills is change in synchronous connections between distributed neural networks, which can be measured by coherence analysis of electroencephalographic patterns. This study examined coherence changes during the learning of two tasks, a word association task and a figure association task. Although learning curves were similar for both tasks, distinct patterns of coherence change were observed. Coherence tended to increase as learning progressed in the figure association task. In contrast, coherence tended to decrease in the word association task, especially within hemisphere. Word learning was coupled with negative intrahemispheric and positive interhemispheric performance–coherence relations in the gamma frequency. Unique to the figure learning task was an increase in the number of positive coherence–performance relations in both delta and theta frequencies across blocks. Results are discussed in light of ongoing efforts to identify the mechanisms that coordinate distributed brain activities during the process of learning. Further research is needed to define patterns of coherence change for different tasks, goals, and brain regions.