1,720,958 research outputs found
The Role of Student Organizational Involvement in Shaping Digital Entrepreneurial Intentions
Full text linkPurpose: The study investigates the role that involvement of students in university organizations plays concerning digital entrepreneurial intention among the university students during the digital economy era. The study seeks to understand organizational participation in shaping entrepreneurial skills and mindset among the students. Method: The study design is quantitative in nature. The research sampled 69 computer science students. Analysis uses the TPB, utilizing regression and structural equation modeling to quantify the relationship of student organizational involvement with factors like attitudes, subjective norms, perceived behavioral control, and self-efficacy, added factors namely innovativeness and digital entrepreneurial education. Findings: Results showed that while self-efficacy and student organizational involvement proved to be significant predictors of digital entrepreneurial intention, attitudes, innovativeness, and subjective norms were not. That could suggest a process of developing digital entrepreneurial intentions, which may place more importance on the confidence in one's abilities and active participation in organizations rather than general attitudes or social pressures from the outside.  Originality: Unique in its focus on the nexus between student organizational involvement and digital entrepreneurship, this study offers new insights into how universities can foster digital entrepreneurial intentions by enhancing the students' self-efficacy and fostering active engagement in student organizations
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
AI-Based Teaching Materials for Deep Learning: An Analysis of Usage by Elementary School Teachers
Full text linkBackground/purpose. This study investigates the development of AI-powered learning materials to enhance elementary school teachers' professional learning. This is in consideration of the low utilization of AI technology in developing learning materials in the teaching process. The primary objective of this study is to investigate the extent of utilization of AI-based learning materials among elementary school teachers.
Materials/methods. This study utilized a quantitative descriptive study using a survey method with 231 elementary school teachers in West Java, Indonesia, as participants.
Results. The findings show that most teachers have begun incorporating AI-based teaching materials and find them helpful in enhancing student comprehension and participation, despite ongoing issues of training and infrastructure.
Conclusion. The study concludes that AI-powered instructional materials can leverage deep learning to the maximum in primary education, subject to sufficient training and infrastructure. The findings are likely to inform future research in formulating the professional development requirements of teachers for planning AI-enabled instructional materials for effective facilitation of deep learning
Variations on the Author
Full text link“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
Full text linkWe 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
Full text linkWe 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
No full textWe 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.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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