1,720,999 research outputs found
Adaptive learning system in a statistics course: An experience in Korea and its implications
Adaptive learning is attracting much attention in recent years as a promising alternative teaching and learning method, and is expected to spread to many countries in the near future. The purpose of this paper is to test the effect of an adaptive learning system introduced in a statistics course in a graduate school in Korea, which was the first adoption of a commercial adaptive learning system in a regular credit-bearing course in Korea. Specifically, this paper studies its effect on academic achievement, distribution of test scores, and the relationship between the time spent inside the system and the test scores, using rigorous statistical methodologies. The paper concludes with recommendations for instructors, universities, and the government, to maximize the effect of adopting this learning system.2
Estimating labor income shares at the sectoral level in Korea during 1975-2018 using input-output tables
The goal and contribution of this paper is to estimate the sectoral labor income shares in Korea with the same methods over a long period. For this purpose, I harmonized the input-output (IO) tables of Korea for the period 1975-2018 according to a common 26-sector classification, and applied various methods for computing labor income shares to the variables available in IO tables and the accompanying employment tables. It is expected that the results of this paper can be utilized in a variety of studies.
In this paper, three methods were applied. First method is to use compensation of employees (CE), the narrowest definition of labor income, as the labor income. Second method is to assume that the average labor income of non-wage workers equals the average wage level of employees. Third method is to estimate the average labor income of non-wage workers using micro survey data. All three methods use domestic income (DI), the sum of CE and operating surplus (OS), as the total factor income. In this paper, I used the estimates by Im (2020) for the third method.
The economy-wide labor income share by the first method is highly close to the official income share published by the Bank of Korea, and is believed to underestimate the true labor income share. On the other hand, the share by the third method is expected to highly overestimate the true value. The accuracy and the reliability of the estimated shares can be greatly improved by estimating the relative average labor income share of non-wage workers more thoroughly based on more accurate survey data.2
Measuring the Impact of a Trade Dispute with a Supply-side Shock Using a Supply-driven Input-Output Analysis: Korea-Japan Dispute Case
The purpose of this paper is to measure the impact of the recent Korea-Japan trade dispute on the Korean economy using supply-driven input-output analysis. In July 2019, Japan announced the decision to tighten the export control of three materials which are indispensable in the manufacturing of semiconductors and electronic display panels. Japan’s decision directly affects production in Korea’s semiconductor and display sectors and is hence not a demand shock. For this reason, a standard demand-driven input-output analysis is not valid despite the fact that it can still be applied. The impact of Japan’s decision on Korea’s aggregate and individual sectors’ gross output, GDP and employment were computed using both methods.2
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
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