Grade Level and Gender Differences in the Writing Self-Beliefs of Middle School Students

The objectives of this study were to determine whether middle school students' writing self-efficacy beliefs make an independent contribution to the prediction of their writing competence and to explore grade level and gender differences in writing self-beliefs (N = 742). Writing self-efficacy was the only motivation construct to predict writing competence in a model that included writing self-concept, writing apprehension, perceived value of writing, self-efficacy for self-regulation, previous writing achievement, gender, and grade level. Girls were more competent writers than were boys, but there were no gender differences in writing self-efficacy beliefs. However, when students were asked whether they were better writers than their peers, girls expressed that they were better writers than were other boys or girls in their class or in their school to a greater degree than did the boys. These findings suggest that girls and boys may use a different metric when responding to traditional self-efficacy scales. Students in Grade 6 reported higher self-efficacy and found writing more valuable than did their older peers, and students in Grade 7 reported lower writing self-beliefs than did students in Grades 6 or 8.     

Making Sense of Number Words and Arabic Digits: Does Order Count More?

The ability to choose the larger between two numbers reflects a mature understanding of the magnitude associated with numerical symbols. The present study explores how the knowledge of the number sequence and memory capacity (verbal and visuospatial) relate to number comparison skills while controlling for cardinal knowledge. Preschool children’s (N = 140, M_{age-in-months} = 58.9, range = 41–75) knowledge of the directional property of the counting list as well as the spatial mapping of digits on the visual line were assessed. The ability to order digits on the visual line mediated the relation between memory capacity and number comparison skills while controlling for cardinal knowledge. Beyond cardinality, the knowledge of the (spatial) order of numbers marks the understanding of the magnitude associated with numbers.     

The school as a learning organisation: The concept and its measurement

A growing body of scholars, educators and policy makers has argued for reconceptualising schools as “learning organisations” in the last 25 years as. However, a lack of clarity on the concept has hindered its advance in theory and practice. This study responds to this problem by developing a schools as learning organisations scale that expands and clarifies the concept on several points. Drawing on survey data (nschool staff = 1,703) from Wales (UK), it examines the key characteristics of a school as a learning organisation through a principal component analysis and reliability analysis. The results showed that such a school is associated with eight dimensions: (a) a shared vision centred on the learning of all students, (b) partners contributing to school vision, (c) continuous learning opportunities, (d) team learning and collaboration, (e) a culture of enquiry, innovation and exploration, (f) systems for collecting and exchanging knowledge and learning, (g) learning with and from the external environment, and (h) modelling learning leadership. The resulting 65-item scale demonstrated good psychometric qualities. A reliable and valid schools as learning organisations scale can help enhance our understanding of the concept. The scale can also be used by school leaders, teachers and all others wanting to develop a thriving learning culture in their schools.     

Exploring features for the automatic identification of user goals in web search

Queries submitted to search engines can be classified according to the user goals into three distinct categories: navigational, informational, and transactional. Such classification may be useful, for instance, as additional information for advertisement selection algorithms and for search engine ranking functions, among other possible applications. This paper presents a study about the impact of using several features extracted from the document collection and query logs on the task of automatically identifying the users’ goals behind their queries. We propose the use of new features not previously reported in literature and study their impact on the quality of the query classification task. Further, we study the impact of each feature on different web collections, showing that the choice of the best set of features may change according to the target collection.     

Accuracy and precision of loadsol® insole force-sensors for the quantification of ground reaction force-based biomechanical running parameters

Force plates represent the “gold standard” in measuring running kinetics to predict performance or to identify the sources of running-related injuries. As these measurements are generally limited to laboratory analyses, wireless high-quality sensors for measuring in the field are needed. This work analysed the accuracy and precision of a new wireless insole forcesensor for quantifying running-related kinetic parameters. Vertical ground reaction force (GRF) was simultaneously measured with pit-mounted force plates (1?kHz) and loadsol^® sensors (100?Hz) under unshod forefoot and rearfoot running-step conditions. GRF data collections were repeated four times, each separated by 30 min treadmill running, to test influence of extended use. A repeated-measures ANOVA was used to identify differences between measurement devices. Additionally, mean bias and Bland–Altman limits of agreement (LoA) were calculated. We found a significant difference (p?® devices for these parameters. For these same parameters, the LoA analysis showed that 95% of all measurement differences between insole and force plate measurements were less than 12%, demonstrating high precision of the sensors. However, highly dynamic behaviour of GRF, such as force rate, is not yet sufficiently resolved by the insole devices, which is likely explained by the low sampling rate.     

A comparative evaluation of regional subsidies for collaborative and individual R&D in small and medium-sized enterprises

We analyse whether public subsidies supporting collaborative research and development (R&D) projects in small and medium-sized enterprises (SMEs) are able to encourage persistent R&D investment and interorganisational networking more than subsidies supporting individual R&D projects. Adopting a counterfactual approach to policy evaluation, we compare subsidies for collaborative R&D and for individual R&D implemented in the same Italian region in the same period. Our findings suggest that, once public support is no longer available, the two subsidies have different effects on different types of SMEs. If the policymakers’ objective is to increase the number of R&D-performing SMEs over time, they should provide subsidies for collaborative R&D to firms with modest R&D experience. If their objective is to increase the amount of spontaneous R&D investment over time, they should target SMEs with some prior R&D experience, using either subsidy. Finally, if their objective is to induce SMEs to network with external organisations, subsidies for collaborative R&D projects should be preferred to subsidies for individual R&D projects.     

Technology and employment: Mass unemployment or job creation? Empirical evidence from European patenting firms

This paper explores the possible job creation effect of innovation activity. We analyze a unique panel dataset covering almost 20,000 patenting firms from Europe over the period 2003–2012. The main outcome from the proposed GMM-SYS estimations is the labor-friendly nature of innovation, which we measure in terms of forward-citation weighted patents. However, this positive impact of innovation is statistically significant only for firms in the high-tech manufacturing sectors, while not significant in low-tech manufacturing and services.     

Exploring the values of writing collaboratively through a digital storytelling platform: a mixed-methods analysis of users’ participation,perspectives and practices

Digital technologies allow teachers and students to experience new pedagogical approaches leveraging on interactivity and collaboration. Among the available techniques, digital storytelling (DST) has been usually regarded as an activity that can both enrich the teaching practices and foster students’ active behaviour. This paper aims at analysing to what extent a DST platform proposing the collaborative writing of a fictional story and leveraging on an active learning technique such as role-play can affect a variety of dimensions, namely students’ performance, commitment, creativity and social skills. Combining the analysis of the data-log automatically collected by the system with the evaluations given by teachers before and after the activity, this article shows that the use of a DST tool in the teaching practice can have positive effects on students, including the ones that usually manifest moderate scores for the previously mentioned dimensions. Additionally, semi-structured interviews and direct observations provide an insight on how the benefits stemming from the use of a DST tool in the classroom can especially lie on the collaborative process that is activated.