In collaborative content generation (CCG), such as publishing scientific articles, a group of contributors collaboratively generates artifacts available through a venue. The main concern in such systems is the quality. A remarkable range of research considers quality metrics partially when dealing with the quality of artifacts, contributors, and venues. However, such approaches have several drawbacks. One of the most notable ones is that they are not comprehensive in terms of the metrics to evaluate all entities, including artifacts, contributors, and venues. Also, they are vulnerable to potential attacks.In this paper, we propose a novel iterative definition in which the quality of artifacts, collaborators, and venues are defined interconnectedly. In our framework, the quality of an artifact is defined based on the quality of its contributors, venue, references, and citations. The quality of a contributor is defined based on the quality of his artifacts, collaborators, and the venues. Quality of a venue is defined based on both quality of artifacts and contributors. We propose a data model, formulations, and an algorithm for the proposed approach. We also compare the robustness of our approach against malicious manipulations with two well-known related approaches. The comparison results show the superiority of our method over other related approaches. 相似文献
In Italy, from the 2003 reports to the present, the National Institute for the Educational Evaluation of Instruction and Training (INVALSI) has conducted research on Programme for International Student Assessment (PISA) results in order to understand Italian students’ low achievement in mathematics. In the present paper, data from a representative sample of 15-year-old Italian students who participated in PISA 2012 were analysed. This study’s primary aim is to verify how students’ linguistic competences are associated with their performance in mathematics. For the evaluation of the impact of item reading demand on students’ performance, we selected 24 mathematics items with a high reading demand and 31 mathematics items with a low reading demand, as classified by Italian language and methodology experts. Repeated measure variance analyses were conducted. The results showed differences in function of gender: females are advantaged in mathematics items with a high reading demand, independent of their level of reading literacy. In contrast, males are advantaged in mathematics items with a low reading demand, independent of their level of reading literacy. Possible policy implications are discussed. 相似文献
Despite progress in science and technology and the economic prosperity achieved by numerous countries over the past century, contemporary global capitalism has left us with severe grand challenges for the future including rising inequality, global warming, modern slavery, child labor and several other human rights struggles. How can we fix them? For many years, scholars and policy makers alike have believed that economic growth (fueled by innovation) would fix institutional failures and lift people out of human misery. We now know that this story creaks. I would suggest that the current grand challenges are related in a non-trivial way to companies’ wrongful business conduct, especially that of large multinational corporations which have grown to rival governments in size, and have proven to be powerful agents capable of shaping the global governance agenda. I challenge technological determinism and ‘transformative change’ frameworks by arguing that the regulation of global capitalism needs to put powerful private actors at center stage since neglecting them will give rise to yet another generation of dysfunctional development and innovation policies. 相似文献
Recent studies suggest that teacher messages can affect students’ well-being. Using a multilevel, variable, and person-centred approach, this study aimed to identify profiles of students according to their teachers’ use of engaging messages and analyse the relation among these profiles and teacher-student relatedness and students’ subjective vitality. A total of 1209 students participated in the study. At the student-level, profile analysis indicated the existence of four different profiles: the few messages profile, the autonomous motivational appeals profile, the loss-framed messages profile, and the gain-framed messages profile. At the teacher level, profile analysis indicated the existence of two profiles: the variant and the invariant profiles. Results showed that overall, at both levels of analysis, teachers’ engaging messages related with teacher-student relatedness (either positively or negatively) with clear differences among profiles. Moreover, also at both levels of analysis, teacher-student relatedness related with students’ subjective vitality. Main findings and implications for practice are discussed.