1,720,954 research outputs found
Fraud Pentagon Analysis in Preventing Academic Fraud during Online Learning in the COVID-19 Period
Students have more opportunities to commit academic fraud
on online learning during the COVID-19 period. The purposes of this study are to examine the types of possible academic fraud during online learning, the motives of fraud using pentagon theory, and to provide some important recommendations for higher educationin fraud prevention. The data collection methods are questionnaires and interviews with students and lecturers at a private university in Indonesia. In addition, the data analysis is qualitative and descriptive statistical analyses. The results of this study
indicate that academic fraud such as cheating, seeking help, plagiarism, and collusion occurs during online learning process. Pressure, opportunity, rationalization and arrogance are four important factors that cause academic fraud. The prevention of fraud can be through building awareness on integrity and ethical values, implementing rules and strong
punishment system, building close relationship with students, improving the methods of learning and assessment, and improving internal controls
Fraud Pentagon Analysis in Preventing Academic Fraud during Online Learning in the COVID-19 Period
Students have more opportunities to commit academic fraud on online learning during the COVID-19 period. The purposes of this study are to examine the types of possible academic fraud during online learning, the motives of fraud using pentagon theory, and to provide some important recommendations for higher educationin fraud prevention. The data collection methods are questionnaires and interviews with students and lecturers at a private university in Indonesia. In addition, the data analysis is qualitative and descriptive statistical analyses. The results of this study indicate that academic fraud such as cheating, seeking help, plagiarism, and collusion occurs during online learning process. Pressure, opportunity, rationalization and arrogance are four important factors that cause academic fraud. The prevention of fraud can be through building awareness on integrity and ethical values, implementing rules and strong punishment system, building close relationship with students, improving the methods of learning and assessment, and improving internal controls.Siswa memiliki lebih banyak kesempatan untuk melakukan kecurangan akademik saat pembelajaran online pada masa pandemic COVID-19. Penelitian ini bertujuan untuk menjelaskan jenis kecurangan akademik yang terjadi saat pembelajaran online, faktor-faktor yang menyebabkan kecurangan ditinjau dari fraud pentagon theory memberikan rekomendasi untuk institusi perguruan tinggi untuk mencegah kecurangan akademik. Metode pengambilan data dalam penelitian ini dilakukan melalui survey pada mahasiswa disertai wawancara pada mahasiswa dan beberapa dosen di suatu universitas swasta di Indonesia. Analisis dilakukan dengan metode kualitatif dengan didukung hasil statistik deskriptif. Hasil menelitian ini menunjukkan bahwa kecurangan akademik dalam bentuk cheating, seeking outside help, plagiarism, dan collusion terjadi saat pembelajaran online. Hal ini disebabkan karena elemen tekanan, kesempatan, rasionalisasi dan arogansi. Upaya pencegahan kecurangan yang dapat dilakukan diantaranya adalah membangun kesadaran tentang integritas dan nilai etis, pemberlakuan aturan dan sanksi, perbaikan pengendalian internal, membangun kedekatan dengan siswa serta perbaikan terhadap sistem penilaian yang digunakan. Upaya deteksi kecurangan dapat dilakukan dengan whistle-blowing system dan digital solution
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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