1,720,974 research outputs found
Innovations, challenges and future directions in nature of science research:Reflections from early career academics
There has been sustained research interest in the role of early career researchers in advancing the field and the challenges that they face. However, efforts to document lived experiences of researchers working in a specific research area within science education have been scarce. This paper considers the meaning of innovation in the context of nature of science (NOS) research, drawing from a collective reflection of five early career academics from different backgrounds. After discussing the sources of our motivation to innovate in NOS research, we identify four distinct pathways of innovation. These pathways include (1) delving into specific aspects of NOS in greater depth, (2) exploring the interface of NOS and other established research areas, and (3) using NOS to address pressing social issues, and (4) expanding the methodological repertoire of NOS research. We illustrate these four modes of research innovation using examples from our own work. Barriers to early-career innovation such as the absence of NOS in curricula and initial teacher education, the lack of time to engage with practitioners to develop and implement instructional resources, and the underrepresentation of diverse education systems in NOS research literature are discussed.</p
Exploring science capital with primary-school-aged children
It is widely recognised that there is an urgent need to make access to and engagement in science,
technology, engineering, and maths (STEM) education more equitable, from both a social justice and
economic perspective. The concept of science capital has been used as a tool to understand patterns
in young people’s perceptions of science, science identity and aspirations, with those categorised as
having high science capital being more likely to feel that science is something they identify with and
to continue with science post-compulsory education. Science capital encompasses all of the
resources available to an individual that could be advantageous in the context of science, for
example, knowing people who have science-related jobs, or consuming science-related media.
Research has shown that science capital is patterned by structural inequalities, such as class, gender,
and ethnicity. To date, the majority of the available research related to science capital has been
conducted with children and young people aged 10–19 years old and in the context of formal
science education. This study explored the concept of science capital in everyday settings through a
multiple case study with four children aged 8–10 years old. Diaries, interviews, and questionnaires
provided an insight into who and what children considered to be science-related in their lives.
Thematic analysis of their responses demonstrated that there is a mismatch between the breadth of
what children considered to be science-related and what is important for being science person, and
what is traditionally valued and represented in the field of science. This apparent disconnect with
everyday science by the field was reflected by a surprising absence of school science in children’s
diaries and interviews. The findings also added to a recognised challenge for equitable STEM
education initiatives: none of the children agreed that people like them work in science despite
agreeing that anyone can become a scientist. In light of this insight to science in the lives of a group
of primary-school-aged children, reflections and recommendations are offered for the field of STEM
education, including support for a science capital teaching approach that broadens what counts as
science, and a call for time and training to equip young people, families, educators, and
policymakers to actively challenge traditional and dominant science representations and practices
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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