Knowledge‐ and Evidence‐Based Education: Reasons,Trends, and Contents

Education is in need of reform, and the development of the sciences of mind and brain are candidates to contribute to the renovation of the way people are instructed and of the tools that mediate learning. Knowledge‐ and evidence‐based approaches to education put forward the fact that educational systems are inadequate to provide an answer to the challenges of the 21st century and claim that education should be guided by scientific principles rather than by intuition and professional wisdom only (or, worst, by tradition). This is because sciences that are capable of shedding light into learning process have dramatically advanced during the last half‐century and, still more meaningfully, during the last 20 years. The time has come for a new science of learning to rise, which is structured around cognitive and neuroscience, investigates topics that stem from educational problems, and rests on rigorous forms of in‐laboratory and in‐vivo evaluation.     

Skirts in the lab: Madame Curie and the image of the woman scientist in the feature film

Recent research has appropriately emphasized the significant role played by feature films in the creation (as well as the reflection) of popular stereotypes of the scientist. However, no particular study has yet been devoted to the depiction of women scientists in the cinema, even though it is quite clear that this presents its own distinctive features. Taking the influential Madame Curie (Mervyn LeRoy, 1943) as a starting point, this paper attempts to give a first overview of the subject.     

Prospective and In-Service Mathematics Teachers’ Attention to a Rich Mathematics Task While Planning its Implementation in the Classroom

International Journal of Science and Mathematics Education - This study explores secondary mathematics teachers’ attention to the three components of Jaworski’s (1992) “teaching...     

The effect of a reduced first step width on starting block and first stance power and impulses during an athletic sprint start

This study investigated how manipulating first step width affects 3D external force production, centre of mass (CoM) motion and performance in athletic sprinting. Eight male and 2 female competitive sprinters (100m PB: 11.03 ± 0.36 s male and 11.6 ± 0.45 s female) performed 10 maximal effort block starts. External force and three-dimensional kinematics were recorded in both the block and first stance phases. Five trials were performed with the athletes performing their preferred technique (Skating) and five trials with the athletes running inside a 0.3 m lane (Narrow). By reducing step width from a mean of 0.31 ± 0.06 m (Skating) to 0.19 ± 0.03 m (Narrow), reductions were found between the two styles in medial block and medial 1st stance impulses, 1st stance anterior toe-off velocity and mediolateral motion of the CoM. No differences were found in block time, step length, stance time, average net resultant force vector, net anteroposterior impulse nor normalised external power. Step width correlated positively with medial impulse but not with braking nor net anteroposterior impulse. Despite less medially directed forces and less mediolateral motion of the CoM in the Narrow trials, no immediate improvement to performance was found by restricting step width.     

Effect of two different intensity distribution training programmes on aerobic and body composition variables in ultra-endurance runners

The aim of this study was to compare the effects of two different intensity distribution training programmes (polarized (POL) and threshold (THR)) on aerobic performance, strength and body composition variables in ultra-endurance runners. Twenty recreationally trained athletes were allocated to POL (n?=?11; age: 40.6?±?9.7 years; height: 175.4?±?7?cm; weight: 73.5?±?10.8?kg; fat mass 18.4?±?6.0%; VO₂max: 55.8?±?4.9?ml/kg/min) or THR group (n?=?9; age: 36.8?±?9.2 years; height: 178.5?±?4.2?cm; weight: 75.5?±?10.4?kg; fat mass 14.9?±?5.3%; VO₂max: 57.1?±?5.2?ml/kg/min) and performed the 12 weeks training programme. Both programmes had similar total time and load but a different intensity distribution (POL?=?79.8?±?2.1% in Zone 1; 3.9?±?1.9% in Zone 2; 16.4?±?1.5% in Zone 3; THR?=?67.2?±?4.6% in Zone 1; 33.8?±?4.6% in Zone 2; 0% in Zone 3). Body composition, isokinetic strength and aerobic running performance were measured before and after each programme. Both groups decreased fat mass after training (POL= Δ–11.2%; p?=?.017; ES?=?0.32; THR= Δ–18.8%; p?p?=?0.003; ES?=?0.71) and 12?km/h (Δ–4.5%; p?=?.026; ES?=?0.73) and running time to exhaustion (Δ2.4%; p?=?.011; ES?=?0.33). No changes were observed in strength and no significant differences were observed between the group in any variable. Compared with THR distribution, 12 weeks of POL training efficiently improves aerobic performance in recreational ultra-endurance runners.     

Art collections and taste in the Spanish <Emphasis Type="Italic">Siglo</Emphasis><Emphasis Type="Italic">de Oro</Emphasis>

We analyze art pricing in a unique dataset on Madrid inventories between 1600 and 1750. We estimate a price index for the Spanish art market that is used for a general historical analysis of art during this period, showing a large increase in the real price of paintings during the XVII century. Then we examine the price differential between domestic and foreign paintings: At the beginning of the century domestic production was priced substantially below imported paintings, but the price gap was gradually reduced during the century. We argue that such a price convergence was not the fruit of variations in real exchange rate, relative supply or home bias, but was associated with increasing prices for the new domestic painters of the XVII century. Increasing remuneration for painting may have induced artistic innovations by domestic producers and created the conditions for the development of the Siglo de Oro of Spanish art.     

The virtual laboratory concept applied to strain measurements

In recent years the methodology of engineering education has been changing and many projects deal with improving the educational software. This paper reports on the virtual laboratory, a virtual environment applied to experimental analysis. The goals of the virtual laboratory are to introduce the laboratory environment to the student entering this world, so different from the typical theoretical lectures, for the first time, and to overcome the above-mentioned drawbacks. It should be mentioned that the virtual laboratory is not meant to replace highly enriching, practical experience, but rather is meant to train the individual, in order to improve his/her performance in later actual practice. The virtual laboratory experience starts with the study of strain measurements, an engineering technique widely used to measure deformations, strains, mechanical properties of materials and other variables which are used to analyse many problems.The strain measurement virtual laboratory is meant to offer the possibility of simulating experiences, undergone in a real laboratory, through the Internet. The student is expected to familiarize him/herself with the techniques, procedures, devices and theories in the laboratory environment.     

Theme-Park Psychology: A Case Study Regarding Human Intelligence and Its Implications for Education

We introduce in this article the construct of theme-park psychology which we define as psychological theory and research drawn only from limited and unrepresentative samples of participants, tasks and situational contexts within the context of worldwide populations. Results obtained from limited populations, tasks, and situational contexts often are inappropriately generalized and then used as a basis for educational policy. In theme-park psychology, easy-to-study populations, tasks, and situational contexts repeatedly may show the same patterns in data, leading to tantalizing generalizations that are nevertheless wrong. We describe studies by ourselves and by others with respect to human intelligence that illustrate our views and that cast doubt on traditional notions.     

Discourse-aware rumour stance classification in social media using sequential classifiers

Rumour stance classification, defined as classifying the stance of specific social media posts into one of supporting, denying, querying or commenting on an earlier post, is becoming of increasing interest to researchers. While most previous work has focused on using individual tweets as classifier inputs, here we report on the performance of sequential classifiers that exploit the discourse features inherent in social media interactions or ‘conversational threads’. Testing the effectiveness of four sequential classifiers – Hawkes Processes, Linear-Chain Conditional Random Fields (Linear CRF), Tree-Structured Conditional Random Fields (Tree CRF) and Long Short Term Memory networks (LSTM) – on eight datasets associated with breaking news stories, and looking at different types of local and contextual features, our work sheds new light on the development of accurate stance classifiers. We show that sequential classifiers that exploit the use of discourse properties in social media conversations while using only local features, outperform non-sequential classifiers. Furthermore, we show that LSTM using a reduced set of features can outperform the other sequential classifiers; this performance is consistent across datasets and across types of stances. To conclude, our work also analyses the different features under study, identifying those that best help characterise and distinguish between stances, such as supporting tweets being more likely to be accompanied by evidence than denying tweets. We also set forth a number of directions for future research.