scholarly journals Google analytics of a pilot study to characterize the visitor website statistics and implicate for enrollment strategies in Medical University

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Szu-Chieh Chen ◽  
Thomas Chang-Yao Tsao ◽  
Ko-Huang Lue ◽  
Yafang Tsai
Keyword(s):  
Market Segmentation ◽  
College Admission ◽  
Online Data ◽  
Course Characteristics ◽  
Response Strategies ◽  
University Departments ◽  
Course Planning ◽  
Enrollment Rates ◽  
The University ◽  
Medical University

Abstract Background Taiwan’s colleges and universities are struggling to maintain their student enrollment rates owing to the declining fertility rate. Focusing on students in higher education programs, this study aims to analyze online behavioral patterns for university departmental websites and accordingly, suggests response strategies to increase the rate of enrollment. Methods We use Google Analytics to examine the websites of two departments in a medical university between February 1 and July 30, 2018. We study website patterns during the study periods for three college admission routes: STARS program, personal applications, and admission through examination and placement. Results Most website visitors during the three visiting date ranges for the two departments are 18–24 years. The visitor groups are mainly freshmen at the university and their parents. The homepage and Subject Credits, Course Planning, Teacher Lineup, and Certificate of Subjects were the most visited webpages. The overall number of daily page views varied by academic event. Conclusions University departments should enhance the presentation of featured courses on their webpage or distinguish course characteristics from those of competing departments in the curriculum to ensure clear market segmentation. In addition, departments should consider examining online data to identify suitable high schools that can be visited to attract potential students and to improve students’ willingness to choose their university.

scholarly journals Google analytics of a pilot study to characterize the visitor website statistics and implicate for enrollment strategies in Medical University

2020 ◽  
Author(s):  
Szu-Chieh Chen ◽  
Thomas Chang-Yao Tsao ◽  
Ko-Huang Lue ◽  
Yafang Tsai
Keyword(s):  
Market Segmentation ◽  
College Admission ◽  
Online Data ◽  
Course Characteristics ◽  
Response Strategies ◽  
University Departments ◽  
Course Planning ◽  
Enrollment Rates ◽  
The University ◽  
Medical University

Abstract Background: Taiwan’s colleges and universities are struggling to maintain their student enrollment rates owing to the declining fertility rate. Focusing on students in higher education programs, this study aims to analyze online behavioral patterns for university departmental websites and accordingly, suggests response strategies to increase the rate of enrollment.Methods: We use Google Analytics to examine the websites of two departments in a medical university between February 1 and July 30, 2018. We study website patterns during the study periods for three college admission routes: STARS program, personal applications, and admission through examination and placement.Results: Most website visitors during the three visiting date ranges for the two departments are 18–24 years. The visitor groups are mainly freshmen at the university and their parents. The homepage and Subject Credits, Course Planning, Teacher Lineup, and Certificate of Subjects were the most visited webpages. The overall number of daily page views varied by academic event.Conclusions: University departments should enhance the presentation of featured courses on their webpage or distinguish course characteristics from those of competing departments in the curriculum to ensure clear market segmentation. In addition, departments should consider examining online data to identify suitable high schools that can be visited to attract potential students and to improve students’ willingness to choose their university.

scholarly journals Google analytics of a pilot study to characterize the visitor website statistics and implicate for enrollment strategies in Medical University

2020 ◽  
Author(s):  
Szu-Chieh Chen ◽  
Thomas Chang-Yao Tsao ◽  
Ko-Huang Lue ◽  
Yafang Tsai
Keyword(s):  
Online Behavior ◽  
Student Attendance ◽  
Course Characteristics ◽  
Response Strategies ◽  
Course Planning ◽  
Education Market ◽  
Academic Events ◽  
Higher Education Market ◽  
The University ◽  
Medical University

Abstract Background: Due to decreasing fertility rates in Taiwan, colleges and universities face significant difficulties in maintaining student attendance. This study aims to investigate students in the higher education market and explore their online behavior patterns in relation to university departmental websites to provide response strategies with the aim of potentially increasing enrollment.Methods: We used Google Analytics (GA) tools to analyze two departmental websites from a medical university between February 1 and July 30, 2018. We also observed website patterns during relevant periods for three college admission routes (Stars Program, Personal Application, and Admission by Examination and Placement).Results: Visitors were mostly between 18 and 24 years of age during the three visiting date ranges for the two departments analyzed. The visitor groups were mainly freshmen at the university, and secondarily their parents. The majority of visitors visited “Homepage,” “Subject Credits,” “Course Planning,” “Teacher Lineup,” and “Certificate of Subjects.” The overall timing of daily page views varied depending on academic events.Conclusions: Results suggest that the department should consider enhancing the presentation of its featured courses on the web page or distinguish their course characteristics from those of competing departments in the curriculum to ensure clear market segmentation. It is recommended that each department consider the obtainable data online and identify suitable high schools to visit to attract potential students and improve student willingness to choose this university.

scholarly journals Google analytics of a pilot study to characterize the visitor website statistics and implicate for enrollment strategies in Medical University

2020 ◽  
Author(s):  
Szu-Chieh Chen ◽  
Thomas Chang-Yao Tsao ◽  
Ko-Huang Lue ◽  
Yafang Tsai
Keyword(s):  
Online Behavior ◽  
Student Attendance ◽  
Course Characteristics ◽  
Response Strategies ◽  
Course Planning ◽  
Education Market ◽  
Academic Events ◽  
Higher Education Market ◽  
The University ◽  
Medical University

Abstract Background: Due to decreasing fertility rates in Taiwan, colleges and universities face significant difficulties in maintaining student attendance. This study aims to investigate students in the higher education market and explore their online behavior patterns in relation to university departmental websites to provide response strategies with the aim of potentially increasing enrollment. Methods: We used Google Analytics (GA) tools to analyze two departmental websites from a medical university between February 1 and July 30, 2018. We also observed website patterns during relevant periods for three college admission routes (Stars Program, Personal Application, and Admission by Examination and Placement). Results: Visitors were mostly between 18 and 24 years of age during the three visiting date ranges for the two departments analyzed. The visitor groups were mainly freshmen at the university, and secondarily their parents. The majority of visitors visited “Homepage,” “Subject Credits,” “Course Planning,” “Teacher Lineup,” and “Certificate of Subjects.” The overall timing of daily page views varied depending on academic events. Conclusions: Results suggest that the department should consider enhancing the presentation of its featured courses on the webpage or distinguish their course characteristics from those of competing departments in the curriculum to ensure clear market segmentation. It is recommended that each department consider the obtainable data online and identify suitable high schools to visit to attract potential students and improve student willingness to choose this university.

scholarly journals Google analytics of a pilot study to characterize the visitor website statistics and implicate for enrollment strategies in Medical University

2020 ◽  
Author(s):  
Szu-Chieh Chen ◽  
Thomas Chang-Yao Tsao ◽  
Ko-Huang Lue ◽  
Yafang Tsai
Keyword(s):  
Online Behavior ◽  
Student Attendance ◽  
Course Characteristics ◽  
Response Strategies ◽  
Course Planning ◽  
Education Market ◽  
Academic Events ◽  
Higher Education Market ◽  
The University ◽  
Medical University

Abstract Background: Due to decreasing fertility rates in Taiwan, colleges and universities face significant difficulties in maintaining student attendance. This study aims to investigate students in the higher education market and explore their online behavior patterns in relation to university departmental websites to provide response strategies with the aim of potentially increasing enrollment. Methods: We used Google Analytics (GA) tools to analyze two departmental websites from a medical university between February 1 and July 30, 2018. We also observed website patterns during relevant periods for three college admission routes (Stars Program, Personal Application, and Admission by Examination and Placement). Results: Visitors were mostly between 18 and 24 years of age during the three visiting date ranges for the two departments analyzed. The visitor groups were mainly freshmen at the university, and secondarily their parents. The majority of visitors visited “Homepage,” “Subject Credits,” “Course Planning,” “Teacher Lineup,” and “Certificate of Subjects.” The overall timing of daily page views varied depending on academic events. Conclusions: Results suggest that the department should consider enhancing the presentation of its featured courses on the webpage or distinguish their course characteristics from those of competing departments in the curriculum to ensure clear market segmentation. It is recommended that each department consider the obtainable data online and identify suitable high schools to visit to attract potential students and improve student willingness to choose this university.

Comparison of the efficiency of the indexes of Pont and Korkhause with Kernott technique in patients with narrowing of maxilla

2020 ◽  
Vol 20 (3) ◽  
pp. 199-203
Author(s):  
O. I. Admakin ◽  
I. A. Solop ◽  
A. D. Oksentyuk
Keyword(s):  
Dental Treatment ◽  
Standard Analysis ◽  
Clinical Hospital ◽  
Control Models ◽  
Diagnostic Models ◽  
Left And Right ◽  
The Asymmetry ◽  
The Right ◽  
The University ◽  
Medical University

Relevance. The narrowing of the maxilla is one of the most common pathologies in orthodontics. Recent studies show that the narrowing is always asymmetric which is connected to the rotation of the maxilla. To choose the treatment correctly one need a calculation that reveals the asymmetry, which is impossible with using standard indexes.Purpose – to compare efficiency of indexes of Pont and Korkhause with the Kernott's method in patients with narrowing of the maxilla.Materials and methods. The study involved 35 children aged from 8 to 12 years old undergoing dental treatment in the University Children's Clinical Hospital of the First Moscow State Medical University with no comorbidities. For every patient a gypsum model was prepared and after that to carry out the biometrical calculation. In this study two indexes were used: Pont's index and Korkhause's; using this standard analysis the narrowing of the maxilla was revealed. After using Pont's Index and Korkhaus analysis all the models were calculated by the method of Kernott with Kernott's dynamic pentagon.Results. As a result of the analysis of the control diagnostic models a narrowing of the maxilla in 69% of cases (n = 24) was revealed in all cases, the deviation of the size of the dentition was asymmetric. Thus, 65% of the surveyed models showed a narrowing on the right. This narrowing was of a different severity and averaged 15 control models.Conclusions. This shows that for the biometrics of diagnostic models it is necessary to use methods that allow to estimate the width of the dentition rows on the left and on the right separately. To correct the asymmetric narrowing of the dentition, it is preferable to use non-classical expanding devices that act equally on the left and right sides separetly.

University Educational-Practical Centres of the primary medical care – a step to the improvement of the family doctors training

2014 ◽  
Vol 18 (4 (72)) ◽  
Author(s):  
L. P. Sydorchuk ◽  
S. V. Biletskyi ◽  
O. A. Petrynych ◽  
S. I. Ivashchuk ◽  
T. V. Kazantseva ◽  
...  
Keyword(s):  
Medical Care ◽  
Teaching Process ◽  
Primary Medical Care ◽  
Family Doctors ◽  
The Family ◽  
The University ◽  
Medical University

The information about the University Educational-Practical Centres of the primary medical care of Bukovinian State Medical University and the peculiarities of the teaching process in present conditions is given.

scholarly journals (P1-34) Chinese Undergraduate Nursing Student's Attitude and Understanding of Disaster

2011 ◽  
Vol 26 (S1) ◽  
pp. s109-s110
Author(s):  
H. Yin ◽  
L. Wang ◽  
H. Lu ◽  
X. Yu ◽  
P. Arbon ◽  
...  
Keyword(s):  
Nursing Students ◽  
Disaster Preparedness ◽  
Nursing Curriculum ◽  
Undergraduate Nursing Students ◽  
Undergraduate Nursing ◽  
Health Response ◽  
Level Of Understanding ◽  
The University ◽  
Medical University ◽  
Student’S Attitude

ObjectiveTo identify attitudes and understanding of Chinese undergraduate nursing students towards disaster, therefore providing information for the development of a disaster nursing curriculum in the Chinese context.MethodsA total 214 undergraduate nursing students (Year 1 to 4) in one medical university in China were surveyed in 2010.ResultsThe majority of undergraduate nursing students (94.9%) were concerned about disaster, 46.7% of them thought they were very knowledgeable about disaster, while 39.3% of them stated they were moderately knowledgeable about disaster. The most popular way for the students to get information about disaster was television (88.3%), followed by internet (67.8%) and newspaper (45.8%). Only 33.6% of them said they gained information from the university. Earthquake (93.7% of students) and flood (36.1% of students) were mentioned by the students as examples of disasters that have occurred in China. The majority of students said the Wenchuan earthquake (2008) was the disaster that had the greatest impression on them. Five aspects were identified from their description of disaster, which included the cause, category, characteristic, impact and type of disaster. 36.4% of students were certain that disaster would happen again in China. A further 50.9% felt disaster was likely. Flood and earthquake were considered the most likely future disasters. 71% of nursing students strongly agreed that being prepared for disaster was important. The main reasons were better preparedness could decrease the damage to property and the incidence of death and injury. However, the level of understanding of the effects of disaster and the exposure of students to education about disaster health response was limited.ConclusionKnowledge and skills for disaster preparedness of nursing students should be strengthened in the medical university.

scholarly journals Analysis of museum labels description

2019 ◽  
Vol 26 ◽  
pp. 143-156
Author(s):  
Anna Karpiewska ◽  
Dariusz Iwan ◽  
Przemysław Szymroszczyk ◽  
Ewa Lenard ◽  
Marek Halama ◽  
...  
Keyword(s):  
Forensic Medicine ◽  
Point Of View ◽  
Polish Academy ◽  
Museum Collections ◽  
The University ◽  
Medical University ◽  
Academy Of Sciences

The aim of the study was to analyse the content of museum labels from various periods in terms of their usefulness in creating new labels for exhibits included in museum collections. Nearly 5,000 museum labels from the years 1811 to 2017 were reviewed, for exhibits at the Museum of Zoology of the Polish Academy of Sciences in Warsaw, Herbarium of the University of Wroclaw, and the Museum of Forensic Medicine at the Medical University of Wroclaw. On the basis of the collected information, an attempt was made to develop a ‘universal label’template, including a range of necessary information from the point of view of managing and maintaining the accessibility of the relevant collection.

scholarly journals Smoking habits among medical students: a survey at the University of Prishtina Faculty of Medicine

2018 ◽  
Vol 6 (1) ◽  
pp. 18-20 ◽  
Author(s):  
Albina Fejza ◽  
Fatjeta Maraj ◽  
Hajrullah Fejza
Keyword(s):  
Medical Students ◽  
Role Models ◽  
High Rate ◽  
Smoking Habits ◽  
P Value ◽  
Student Survey ◽  
Public Places ◽  
Exact Test ◽  
The University ◽  
Medical University

Background: Smoking is a common habit among the population in Kosovo. In the country, smoking occurs in public places, health and educational institutions despite being prohibited by law. Our objective was to describe smoking habits, knowledge and attitudes among medical students from all departments in the University of Prishtina, Faculty of Medicine. Methods: The present study followed the Global Health Professions Student Survey (GHPSS) standardized methodology including data processing procedures. A self-administered questionnaire used was derived from the GHPSS. A total of 600 students were invited in the study while 470 returned questionnaires and participated in the study. Descriptive statistics were used to present the data. The Fisher’s exact test was used to test the significance and a p-value<0.05 was considered significant. Results: The prevalence rate of smoking among students was 16.9% (95% CI 13.2-20). Current smokers were 79 students, 28.2 % males, and 7.7 % females. The study showed that 55.5% of students smoke less than a pack of cigarettes per day. Almost half of them (47.6%) who smoke reported to have a smoker inside the family.  This study also revealed that 74.7% of respondents smoke in the presence of non-smokers on daily bases. Conclusion: Despite threating their own health, smokers also cause noxiousness to the society and medical students should be role models for the others by not smoking. Even though the percentage doesn’t show a high rate of smokers in Medical University of Prishtina, still we need to pay attention to bad smoking habits and try to lower even more the percentage of smokers.

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