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This paper describes the didactic robot Azoresbot v2, a new version of a previous robot Azoresbot already tested in context of robotics open type of events and also at schools. This new version of the robot uses a wifi module providing a way to communicate data received from the sensors as the robot executes its program. It is argued that this feature may be useful to use the robot in competitions extending its use to different learning contents. The robot was built and tested by students in a hands-on introduction to technology and programming in a Computer Science course for first-year students at the University of the Azores. Since the curriculum was a mix of introductory topics related to digital technology, programming, and data science, the robot must include the following features: be a kit to assemble and test, be easy to program, and provide real-time data that can be analyzed using basic data science techniques.Students completed a questionnaire (N = 13) used to evaluate interaction difficulties with the robot and how students see their importance for learning activity. The survey was based on a previously tested heuristic model. It pointed out some issues to consider in future interactions with the robot in classes and competitions.

CISTI'2015 - 10ª Conferência Ibérica de Sistemas e Tecnologias de Informação, 17 a 20 de junho de 2015, Águeda, Aveiro, Portugal. Learning management systems and social networks on Web have been tools most used by students in higher education institutions as learning support tools outside of the classroom. In this paper, we present the results from a survey conducted at a Portuguese university to 159 students in Computer Science and Psychology about the purposes and reasons for the use of Moodle and Facebook. We conclude, among other conclusions, that they complement each other: while the first is mostly used for formal communication with teachers, the second is mostly used for informal communication with peers.

2009 International Conference on Advances in Social Network Analysis and Data Mining (ASONAM 2009), 20-22 July, Athens, Greece. In a series of interviews, we collected a heterogeneous set of several million relations of positive and negative knowledge that a group of thousands of people has about a set of circa twenty-two thousand Portuguese proverbs. One of the interesting questions was if we could find a minimum base of proverbs as an indicator to decide from which place a person came due to their specific profile of proverbial knowledge. Before trying this challenge, we will analyse, in this article, the probability of achieving such an idea by trying to find out if a homomorphism between the proverbial knowledge and the geographical location of a person could exist. To solve this question, we chose an approach based on the analysis of social networks where the broadcast of oral culture, at least historically, could be interpreted as a trace of direct social contact between some of their users. We found, in the present pilot-project based on small data sets, that there are clusters where the neighbourhood relation inducted by the minimum Hamming distance could be a reflex of the geographical distribution and of some migration flux of the population.