Open educational resources : conversations in cyberspace

172 p. : ill. ; 25 cm.Libro ElectrónicoEducation systems today face two major challenges: expanding the reach of education and improving its quality. Traditional solutions will not suffice, especially in the context of today's knowledge-intensive societies. The Open Educational Resources movement offers one solution for extending the reach of education and expanding learning opportunities. The goal of the movement is to equalize access to knowledge worldwide through openly and freely available online high-quality content. Over the course of two years, the international community came together in a series of online discussion forums to discuss the concept of Open Educational Resources and its potential. This publication makes the background papers and reports from those discussions available in print.--Publisher's description.A first forum : presenting the open educational resources (OER) movement. Open educational resources : an introductory note / Sally Johnstone -- Providing OER and related issues : an introductory note / Anne Margulies, ... [et al.] -- Using OER and related issues : in introductory note / Mohammed-Nabil Sabry, ... [et al.] -- Discussion highlights / Paul Albright -- Ongoing discussion. A research agenda for OER : discussion highlights / Kim Tucker and Peter Bateman -- A 'do-it-yourself' resource for OER : discussion highlights / Boris Vukovic -- Free and open source software (FOSS) and OER -- A second forum : discussing the OECD study of OER. Mapping procedures and users / Jan Hylén -- Why individuals and institutions share and use OER / Jan Hylén -- Discussion highlights / Alexa Joyce -- Priorities for action. Open educational resources : the way forward / Susan D'Antoni

Holistic analysis of the effectiveness of a software engineering teaching approach

To provide the best training in software engineering, several approaches and strategies are carried out. Some of them are more theoretical, learned through books and manuals, while others have a practical focus and often done in collaboration with companies. In this paper, we share an approach based on a balanced mix to foster the assimilation of knowledge, the approximation with what is done in software companies and student motivation. Two questionnaires were also carried out, one involving students, who had successfully completed the subject in past academic years (some had already graduated, and others are still students), and other questionnaire involving companies, in the field of software development, which employ students from our school. The analysis of the perspectives of the different stakeholders allows an overall and holistic) view, and a general understanding, of the effectiveness of the software engineering teaching approach. We analyse the results of the questionnaires and share some of the experiences and lessons learned.info:eu-repo/semantics/publishedVersio

To share or not to share: Publication and quality assurance of research data outputs. A report commissioned by the Research Information Network

A study on current practices with respect to data creation, use, sharing and publication in eight research disciplines (systems biology, genomics, astronomy, chemical crystallography, rural economy and land use, classics, climate science and social and public health science). The study looked at data creation and care, motivations for sharing data, discovery, access and usability of datasets and quality assurance of data in each discipline

Research Priorities for Robust and Beneficial Artificial Intelligence

Success in the quest for artificial intelligence has the potential to bring unprecedented benefits to humanity, and it is therefore worthwhile to investigate how to maximize these benefits while avoiding potential pitfalls. This article gives numerous examples (which should by no means be construed as an exhaustive list) of such worthwhile research aimed at ensuring that AI remains robust and beneficial.Comment: This article gives examples of the type of research advocated by the open letter for robust & beneficial AI at http://futureoflife.org/ai-open-lette

Ethical and Social Aspects of Self-Driving Cars

As an envisaged future of transportation, self-driving cars are being discussed from various perspectives, including social, economical, engineering, computer science, design, and ethics. On the one hand, self-driving cars present new engineering problems that are being gradually successfully solved. On the other hand, social and ethical problems are typically being presented in the form of an idealized unsolvable decision-making problem, the so-called trolley problem, which is grossly misleading. We argue that an applied engineering ethical approach for the development of new technology is what is needed; the approach should be applied, meaning that it should focus on the analysis of complex real-world engineering problems. Software plays a crucial role for the control of self-driving cars; therefore, software engineering solutions should seriously handle ethical and social considerations. In this paper we take a closer look at the regulative instruments, standards, design, and implementations of components, systems, and services and we present practical social and ethical challenges that have to be met, as well as novel expectations for software engineering.Comment: 11 pages, 3 figures, 2 table