102,619 research outputs found
Big Data as a Technology-to-think-with for Scientific Literacy
This research aimed to identify indications of scientific literacy resulting
from a didactic and investigative interaction with Google Trends Big Data
software by first-year students from a high-school in Novo Hamburgo, Southern
Brazil. Both teaching strategies and research interpretations lie on four
theoretical backgrounds. Firstly, Bunge's epistemology, which provides a
thorough characterization of Science that was central to our study. Secondly,
the conceptual framework of scientific literacy of Fives et al. that makes our
teaching focus precise and concise, as well as supports one of our
methodological tool: the SLA (scientific literacy assessment). Thirdly, the
"crowdledge" construct from dos Santos, which gives meaning to our study when
as it makes the development of scientific literacy itself versatile for paying
attention on sociotechnological and epistemological contemporary phenomena.
Finally, the learning principles from Papert's Constructionism inspired our
educational activities. Our educational actions consisted of students, divided
into two classes, investigating phenomena chose by them. A triangulation
process to integrate quantitative and qualitative methods on the assessments
results was done. The experimental design consisted in post-tests only and the
experimental variable was the way of access to the world. The experimental
group interacted with the world using analyses of temporal and regional plots
of interest of terms or topics searched on Google. The control class did
'placebo' interactions with the world through on-site observations of
bryophytes, fungus or whatever in the schoolyard. As general results of our
research, a constructionist environment based on Big Data analysis showed
itself as a richer strategy to develop scientific literacy, compared to a free
schoolyard exploration.Comment: 23 pages, 2 figures, 8 table
Walking Through the Method Zoo: Does Higher Education Really Meet Software Industry Demands?
Software engineering educators are continually challenged by rapidly evolving concepts, technologies, and industry demands. Due to the omnipresence of software in a digitalized society, higher education institutions (HEIs) have to educate the students such that they learn how to learn, and that they are equipped with a profound basic knowledge and with latest knowledge about modern software and system development. Since industry demands change constantly, HEIs are challenged in meeting such current and future demands in a timely manner. This paper analyzes the current state of practice in software engineering education. Specifically, we want to compare contemporary education with industrial practice to understand if frameworks, methods and practices for software and system development taught at HEIs reflect industrial practice. For this, we conducted an online survey and collected information about 67 software engineering courses. Our findings show that development approaches taught at HEIs quite closely reflect industrial practice. We also found that the choice of what process to teach is sometimes driven by the wish to make a course successful. Especially when this happens for project courses, it could be beneficial to put more emphasis on building learning sequences with other courses
Characterizing videos, audience and advertising in Youtube channels for kids
Online video services, messaging systems, games and social media services are
tremendously popular among young people and children in many countries. Most of
the digital services offered on the internet are advertising funded, which
makes advertising ubiquitous in children's everyday life. To understand the
impact of advertising-based digital services on children, we study the
collective behavior of users of YouTube for kids channels and present the
demographics of a large number of users. We collected data from 12,848 videos
from 17 channels in US and UK and 24 channels in Brazil. The channels in
English have been viewed more than 37 billion times. We also collected more
than 14 million comments made by users. Based on a combination of text-analysis
and face recognition tools, we show the presence of racial and gender biases in
our large sample of users. We also identify children actively using YouTube,
although the minimum age for using the service is 13 years in most countries.
We provide comparisons of user behavior among the three countries, which
represent large user populations in the global North and the global South
ADAPTS: An Intelligent Sustainable Conceptual Framework for Engineering Projects
This paper presents a conceptual framework for the optimization of environmental sustainability in engineering projects, both for products and industrial facilities or processes. The main objective of this work is to propose a conceptual framework to help researchers to approach optimization under the criteria of sustainability of engineering projects, making use of current Machine Learning techniques. For the development of this conceptual framework, a bibliographic search has been carried out on the Web of Science. From the selected documents and through a hermeneutic procedure the texts have been analyzed and the conceptual framework has been carried out. A graphic representation pyramid shape is shown to clearly define the variables of the proposed conceptual framework and their relationships. The conceptual framework consists of 5 dimensions; its acronym is ADAPTS. In the base are: (1) the Application to which it is intended, (2) the available DAta, (3) the APproach under which it is operated, and (4) the machine learning Tool used. At the top of the pyramid, (5) the necessary Sensing. A study case is proposed to show its applicability. This work is part of a broader line of research, in terms of optimization under sustainability criteria.Telefónica Chair “Intelligence in Networks” of the University of Seville (Spain
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