Abstract
The Official Portuguese curriculum of Mathematics [1] considers that, in the 7th grade classes (12-13 years old students) students begin with the study of the topic "Functions". This algebraic topic is an introduction to the concept of function taking to account the graphical representation of the functions. A special attention is given to the direct proportionality and the particular case of direct proportionality relationship between two quantities be represented by a linear function. Students should understand the relationships between tables, graphs and symbols. As they work with multiple representations of functions such as, numeric, graphic and symbolic, they develop a better understanding of the function concept [2]. The Information and Communications Technology (ICT) is a powerful educational tool for the dissemination of knowledge, as well as for student learning. The software Modellus is addressed to the teaching and learning of mathematics that allows students and teachers to carry out experiments with mathematical models, in particular, to analyse the variation of the function and the respective graphical representation [3]. On the other hand, mathematical modelling as classroom practice is a very current international trend research [4]. This paper explores the Modellus applicability in the linear function learning with twenty students of 7th grade of a Portuguese School. The specific objective is to highlight the contributions of the use of computer simulations with Modellus on student learning, for the study of linear functions. Methodologically, was opted a qualitative and interpretative research approach, based on a case study. Data collection was done through direct observation of a lesson and written productions of students. An activity with an inquiry was drafted and applied in a 7th grade class during a mathematical class of fifty minutes, who answered individually to the data items. The results show that the developed proposal is valid and appropriate for students in 7th grade class. In addition, it was noted that during the study of the linear function, the simulations allowed a better development of the ability to work with various types of representations, promoting the ability to identify the variation and analysis of induced effect by changing the proportionality parameter value into the family of linear functions.

Abstract

Abstract
Recently the world knew by the media, that its leading nations follow closely their citizens, disregarding any moral and technological threshold, that internal and external security agencies in the USA and Europe closely follow telephone conversations, e-mail, web traffic of their counterparts, using powerful monitoring and surveillance programs. In other corners of the globe nations in turmoil or wrapped in the cloak of censorship persecute and deny uncontrolled web access without harmful repercussions to their citizens. This work is a research-in-progress project and consists in showing the research done so far to develop a methodology. This consists in the construction of an operative system with an academic scientific source that permits a secure and anonymous use of the web. For such methodology, first is required to comprehend and get acquaintance with the technologies that controls usage of web consumers, solutions that enable and grant some anonymity and security in web traffic.

Abstract
The structure and evolution of a scientific research community can be quantitatively assessed taking into account the interactions between scientific agents dispersed geographically. In the recent years, CSCW has stabilized as a cross-disciplinary field suffering significant changes in its core structure, and there is limited understanding about the factors influencing the nature and progress of collaborative computing research. In this paper, we measure the correlation between a set of features related to the influence of collaboration types on the number of citations as well as the geographical distribution of the accumulated contribution to the CSCW literature. Overall, our work can represent a starting point to demonstrate how the study of scientific collaboration can partly explain the variations in the number of citations, frequency of papers, and topics addressed.

Abstract

Abstract
Crowdsourcing has shown to be a valuable problem-solving approach to handle the increasing complexity and scale of tasks for which the current AI algorithms are still struggling. Crowd intelligence can be particularly useful to train and supervise AI systems in a symbiotic, co-evolutionary relationship that raises long-term research challenges to the hybrid, crowd-computing design space. With the increase in the scale of mixed-initiative approaches, we need to gain a better understanding of the implications of crowd-powered systems as a scaffold for AI through the study of massive crowd-machine interactions. In this paper, we identify some open challenges and design implications for future crowd-AI hybrid systems. A framework is also proposed based on the practical challenges of addressing human-centered AI methods and processes.