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

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 accordingl...

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Autores principales: Chen, Szu-Chieh, Tsao, Thomas Chang-Yao, Lue, Ko-Huang, Tsai, Yafang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708183/
https://www.ncbi.nlm.nih.gov/pubmed/33261590
http://dx.doi.org/10.1186/s12909-020-02373-1
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author Chen, Szu-Chieh
Tsao, Thomas Chang-Yao
Lue, Ko-Huang
Tsai, Yafang
author_facet Chen, Szu-Chieh
Tsao, Thomas Chang-Yao
Lue, Ko-Huang
Tsai, Yafang
author_sort Chen, Szu-Chieh
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s12909-020-02373-1.
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spelling pubmed-77081832020-12-02 Google analytics of a pilot study to characterize the visitor website statistics and implicate for enrollment strategies in Medical University Chen, Szu-Chieh Tsao, Thomas Chang-Yao Lue, Ko-Huang Tsai, Yafang BMC Med Educ Research Article 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. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s12909-020-02373-1. BioMed Central 2020-12-01 /pmc/articles/PMC7708183/ /pubmed/33261590 http://dx.doi.org/10.1186/s12909-020-02373-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Chen, Szu-Chieh
Tsao, Thomas Chang-Yao
Lue, Ko-Huang
Tsai, Yafang
Google analytics of a pilot study to characterize the visitor website statistics and implicate for enrollment strategies in Medical University
title Google analytics of a pilot study to characterize the visitor website statistics and implicate for enrollment strategies in Medical University
title_full Google analytics of a pilot study to characterize the visitor website statistics and implicate for enrollment strategies in Medical University
title_fullStr Google analytics of a pilot study to characterize the visitor website statistics and implicate for enrollment strategies in Medical University
title_full_unstemmed Google analytics of a pilot study to characterize the visitor website statistics and implicate for enrollment strategies in Medical University
title_short Google analytics of a pilot study to characterize the visitor website statistics and implicate for enrollment strategies in Medical University
title_sort google analytics of a pilot study to characterize the visitor website statistics and implicate for enrollment strategies in medical university
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708183/
https://www.ncbi.nlm.nih.gov/pubmed/33261590
http://dx.doi.org/10.1186/s12909-020-02373-1
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