16,575 research outputs found
Conference report: 18th conference on computer-assisted qualitative data analysis (CAQD) 2016: MAXQDA user conference
During the first week of March 2016, 120 researchers from 12 different countries, including Syria, Japan, the USA and Turkey, met in Berlin (Germany) to learn more about their computer-assisted qualitative data analysis skills. The 18th Conference on Computer-Assisted Qualitative Data Analysis (CAQD) offered several workshops, a research methods poster session, and the opportunity to share and discuss best practice between attendees, trainers and speakers (informally and through the user forum). The conference also hosted three seminal keynote speakers in two presentations: John CRESWELL, and Udo KUCKARTZ and Stefan RÄDIKER, who shared, respectively, the state of the art of mixed methods and the ways that software can support these approaches
Knowledge and Influence of MOOC Courses on Initial Teacher Training
The impact of MOOC courses in the processes of distance learning has been
extremely important from the very beginning. They offer an innovative model of
massive teaching, which exploits in a paradigmatic manner the potential and
relevance that ICT's currently have in modern society. The present article has
as its primary objective the analysis of the presence of these courses and the
role that they represent in teacher training, and their knowledge and influence
on the future teachers that are currently being formed at university level. A
case study has been carried out with descriptive not experimental methodology,
from a quantitative base. The sample study has been undertaken in Spain
(n=200). Its main result being the determination of the minimal impact that the
MOOC phenomenon has had on the students polled. Equally, a significant lack of
knowledge has been revealed in all its dimensions (professional, pedagogical,
structural, etc.), with only a minority of those in the sample group having
indicated that they have studied any of the courses, or know to some extent the
main platforms of the world in which they are offered. A large number of those
surveyed therefore are unaware of the existence of these courses. As a result,
it has been established that, regardless of the quality of the learning and the
didactic and methodological characteristics that the MOOC courses offer, their
study and analysis is considered necessary for future educational
professionals. It is imperative that at the level of Higher Education, and
especially in the faculties of teacher training, that the most recent advances
in the field of ICT's are introduced in the study plan and in the academic
programs, for they constitute the base of modern society.Comment: 19 pages, 4 figure
Discovering New Sentiments from the Social Web
A persistent challenge in Complex Systems (CS) research is the
phenomenological reconstruction of systems from raw data. In order to face the
problem, the use of sound features to reason on the system from data processing
is a key step. In the specific case of complex societal systems, sentiment
analysis allows to mirror (part of) the affective dimension. However it is not
reasonable to think that individual sentiment categorization can encompass the
new affective phenomena in digital social networks.
The present papers addresses the problem of isolating sentiment concepts
which emerge in social networks. In an analogy to Artificial Intelligent
Singularity, we propose the study and analysis of these new complex sentiment
structures and how they are similar to or diverge from classic conceptual
structures associated to sentiment lexicons. The conjecture is that it is
highly probable that hypercomplex sentiment structures -not explained with
human categorizations- emerge from high dynamic social information networks.
Roughly speaking, new sentiment can emerge from the new global nervous systems
as it occurs in humans
Cross sections of X-ray production induced on Ti, Fe, Zn, Nb and Ta by O, Cl, Cu and Br ions with energies between 4 MeV and 40 MeV
Differential cross section of X-ray production induced by O, Cl, Cu and Br
ions with energies between 4 MeV and 40 MeV have been measured for thin targets
of Ti, Fe, Zn, Nb and Ta in a direct way. A fully characterized silicon drift
diode was used as X-rays detector. Beam currents have been measured by a system
of two Faraday cups. Corrections for target thickness effects have been applied
to the raw data. Experimental cross sections are compared both with theory and
with previously published results. Experimental results from other authors are
in reasonable agreement with ours over a wide energy range. Theory produces
consistent results in the case of oxygen ions but gives cross sections even
orders of magnitude below the experimental ones for heavier ions (ECPSSR-UA) or
contrasting results (PWBA) depending on the ion-target combination.Comment: 13 pages, 2 Tables, 4 Figures. Submitted to NIM
A combination of SEM and EDX studies on a clay-based natural composite with animal fibre and its mechanical implications
A variety of natural fibres are nowadays being utilized as soil reinforcement. Test results demonstrate the positive effects of adding natural fibres to soils, in that they decrease shrinkage, reduce curing time and enhance compressive, flexural and shear strength if an optimum reinforcement ratio can be utilised. This paper describes a study which uses a Scanning Electron Microscope (SEM) and an Energy Diffraction Analysis of X-rays (EDX) technique on clay-based composites stabilized with natural polymer and fibres. Different dosages of fibres and several types of soils have been used in this study with the aim of determining advantageous properties for building material applications. SEM and EDX test results reveal the degree of bonding between the particles of soil and the natural fibers. This has enabled a better understanding of the micro-morphology of the natural fibers and their effect on the overall composite material structure. Microscopic analysis was combined with mechanical tests to establish the different strength characteristics of every soil
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