scholarly journals Investigating course choice motivations in university environments

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Boxuan Ma ◽  
Min Lu ◽  
Yuta Taniguchi ◽  
Shin’ichi Konomi
Keyword(s):  
Statistical Analysis ◽  
Student Perceptions ◽  
Clustering Algorithm ◽  
Recommendation Systems ◽  
Qualitative Interview ◽  
Data Driven ◽  
Questionnaire Data ◽  
Course Selection ◽  
Different Types ◽  
Statistical Analysis Methods

AbstractRecommendation systems need a deeper understanding of users and their motivations to improve recommendation quality and provide more personalized suggestions. This is especially true in the education domain, the more about the student is known, the more useful recommendations can be made. However, although many studies on the course recommendation exist, studies on the students’ course selection motivations in universities are limited. This study investigates the factors that contribute to students’ choice when selecting courses in universities to better understand student perceptions, attitudes, and needs and leverage data-driven approaches for recommending and explaining the recommendations in university environments. A qualitative interview for university students (N = 10) comprised of open-ended questions as well as a questionnaire for students (N = 81) was conducted, aiming to investigate the main reasons behind their choices. The results of this study show that students highly value the course contents and the benefits of the course towards their future careers. Furthermore, students are influenced by other reasons such as the possibility of obtaining a higher grade, the popularity of professors, and recommendations from peers. Next, we extract the main categories of students’ motivations and analyzed the questionnaire data by employing statistical analysis methods as well as the k-means clustering algorithm to identify different types of students in terms of course selection. Based on our findings, we discuss implications for designing more personalized course recommendation systems.

The economy of the Chukotka Autonomous Okrug: On the path from monodependence to diversification

2020 ◽  
Vol 18 (4) ◽  
pp. 662-674
Author(s):  
S.G. Serikov
Keyword(s):  
Economic Development ◽  
Statistical Analysis ◽  
Gross Regional Product ◽  
Key Factors ◽  
Economic Problems ◽  
Analysis Methods ◽  
Socio Economic Development ◽  
Regional Product ◽  
Statistical Analysis Methods

Subject. This article explores the changes in the economic development of the Chukotka Autonomous Okrug during the Soviet and post-Soviet periods. Objectives. The article aims to identify trends and features of the socio-economic development of the Chukotka Autonomous Okrug. Methods. For the study, I used the comparative, computational, constructive, and statistical analysis methods. Results. The article reveals key factors in the growth of the Chukotka Autonomous Okrug's gross regional product and the economic challenges to the region. As well, the article considers and proposes some possible options for further socio-economic development of the Okrug. Conclusions. The Okrug's current socio-economic problems are caused by not objective reasons only, but subjective factors, as well.

RISK FACTORS FOR THE DEVELOPMENT OF INITIAL MANIFESTATIONS OF ATHEROGENIC CARDIOVASCULAR DISEASES IN PERSONNEL OF CHEMICALLY HAZARDOUS FACILITIES

2017 ◽  
pp. 2-7 ◽  
Author(s):  
V. A. Gorichny ◽  
D. Yu. Serdukov ◽  
A. V. Yazenok ◽  
A. V. Nosov ◽  
G. G. Zagorodnikov ◽  
...  
Keyword(s):  
Risk Factors ◽  
Statistical Analysis ◽  
Cardiovascular Diseases ◽  
Organophosphorus Compounds ◽  
Atherogenic Dyslipidemia ◽  
Chemical Weapons ◽  
Analysis Methods ◽  
High Incidence ◽  
And Control ◽  
Statistical Analysis Methods

An outpatient examination of 530 employees engaged in work with chemical weapons related to organophosphorus compounds at chemically hazardous facilities was carried out. Risk factors for the development of cardiovascular diseases of atherogenic etiology among personnel of the facilities were studied in relation to the type of work performed using statistical analysis methods. When assessing the lipidogram, a high incidence of atherogenic dyslipidemia in a group of personnel involved in the storage of chemical weapons was found out in comparison with a group of people engaged in the destruction and control of chemical weapons (73.1 vs 61.2 vs 59.6%, p

Lessons Not Learned: Why is There Still a Crisis-Level Shortage of Accounting Ph.D.s?

2014 ◽  
Vol 28 (2) ◽  
pp. 313-330 ◽  
Author(s):  
R. David Plumlee ◽  
Philip M. J. Reckers
Keyword(s):  
Student Perceptions ◽  
Structural Changes ◽  
Ad Hoc ◽  
Doctoral Programs ◽  
Cumulative Impact ◽  
Program Administrators ◽  
Accounting Faculty ◽  
Present Information ◽  
Different Types

SYNOPSIS: In 2005, an ad hoc committee appointed by the American Accounting Association (AAA) documented a crisis-level shortage of accounting Ph.D.s and recommended significant structural changes to doctoral programs (Kachelmeier, Madeo, Plumlee, Pratt, and Krull 2005). However, subsequent studies show that the shortage continues and the cumulative costs grow (e.g., Fogarty and Holder 2012; Brink, Glasscock, and Wier 2012). The Association to Advance Collegiate Schools of Business (AACSB) recently called for renewed attention to the problem (AACSB 2013b). We contribute to the literature by providing updated information regarding responses by doctoral programs and, from the eyes of potential candidates, of continuing impediments to solving the doctoral shortage. In this paper, we present information gathered through surveys of program administrators and master's and Accounting Doctoral Scholars Program (ADS) students. We explore (1) the cumulative impact of the Ph.D. shortage as of 2013, including its impact on accounting faculty composition, across different types of institutions, (2) negative student perceptions of Ph.D. programs and academic accounting careers, which discourage applicants from pursuing Ph.D. programs, and (3) impediments facing institutions in expanding doctoral programs.

scholarly journals Quantification and Statistical Analysis Methods for Vessel Wall Components from Stained Images with Masson's Trichrome

PLoS ONE ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. e0146954 ◽  
Author(s):  
Pablo Hernández-Morera ◽  
Irene Castaño-González ◽  
Carlos M. Travieso-González ◽  
Blanca Mompeó-Corredera ◽  
Francisco Ortega-Santana
Keyword(s):  
Statistical Analysis ◽  
Vessel Wall ◽  
Analysis Methods ◽  
Wall Components ◽  
Statistical Analysis Methods

Modeling a multi-layered blockchain framework for digital services that governments can implement

2021 ◽  
pp. 1-13
Author(s):  
Fernando Rebollar ◽  
Rocío Aldeco-Perez ◽  
Marco A. Ramos
Keyword(s):  
Statistical Analysis ◽  
General Population ◽  
Information Security ◽  
High Rate ◽  
The Internet ◽  
Sufficient Information ◽  
Electronic Network ◽  
Digital Services ◽  
Different Types ◽  
Cryptographic Techniques

The general population increasingly uses digital services, meaning services which are delivered over the internet or an electronic network, and events such as pandemics have accelerated the need of using new digital services. Governments have also increased their number of digital services, however, these digital services still lack of sufficient information security, particularly integrity. Blockchain uses cryptographic techniques that allow decentralization and increase the integrity of the information it handles, but it still has disadvantages in terms of efficiency, making it incapable of implementing some digital services where a high rate of transactions are required. In order to increase its efficient, a multi-layer proposal based on blockchain is presented. It has four layers, where each layer specializes in a different type of information and uses properties of public blockchain and private blockchain. An statistical analysis is performed and the proposal is modeled showing that it maintains and even increases the integrity of the information while preserving the efficiency of transactions. Besides, the proposal can be flexible and adapt to different types of digital services. It also considers that voluntary nodes participate in the decentralization of information making it more secure, verifiable, transparent and reliable.

scholarly journals Identification of Bacterial Diseases in Rice Plants Leaves by the Use of Spectroscopic Imaging

2015 ◽  
Vol 7 (6) ◽  
pp. 61 ◽  
Author(s):  
Mama Sangare ◽  
C. Tekete ◽  
O. K. Bagui ◽  
A. Ba ◽  
J. T. Zoueu
Keyword(s):  
Statistical Analysis ◽  
Bacterial Wilt ◽  
Spectral Region ◽  
Imaging Techniques ◽  
Xanthomonas Oryzae ◽  
Multivariate Statistical ◽  
Bacterial Diseases ◽  
The World ◽  
Rice Leaves ◽  
Statistical Analysis Methods

<p class="1Body">Rice is staple in the African habitats menu. Bacterial wilt (BLB) and leaf streak (BLS) are some of the phytopathological diseases which restrain rice production around the world. In this paper, multi-spectral and multi-modal imaging techniques have been developed to characterize the rice leaves with symptoms of bacterial wilt (BLB) and leaf streak (BLS), and to provide information on their effects, in order to reduce their spread. First, we recorded microscopic and spectroscopic images of the samples using multimodal and multispectral microscope, with spectral region ranging from UV to NIR, for each mode. Then, we extracted the spectral footprints of the cells constituents, in transmission, reflection and scattering from the spectral images. Applying multivariate statistical analysis methods to this optical spectra allowed us to characterize the effect of bacterial rice leaves caused by <em>Xanthomonas oryzae</em> strains. The results of the proposed technique can be useful for easy identification of this type of infection, and can serve as routine approach in biochemical and agronomic laboratories.</p>

Who Wins and Who Loses in the Provincial Courts of Appeal? A Statistical Analysis, 1920–1990

1994 ◽  
Vol 9 (2) ◽  
pp. 21-40 ◽  
Author(s):  
Peter McCormick
Keyword(s):  
United States ◽  
Statistical Analysis ◽  
Great Britain ◽  
Data Base ◽  
The United States ◽  
Different Types ◽  
Party Capability ◽  
Time Periods ◽  
Appeal Courts ◽  
Different Levels

AbstractGiven the visibility and obvious importance of judicial power in the age of the Charter, it is important to develop the conceptual vocabulary for desribing and assessing this power. One such concept that has been applied to the study of appeal courts in the United States and Great Britain is “party capability”, a theory which suggests that different types of litigant will enjoy different levels of success as both appellant and respondent. Using a data base derived from the reported decisions of the provincial courts of appeal for the second and seventh year of each decade since the 1920s, this article applies party capability theory to the performance of the highest courts of the ten provinces; comparisons are attempted across regions and across time periods, as well as with the findings of similar studies of American and British courts.

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