数字足迹在预测学校毕业生教育策略中的作用

N. Gabdrakhmanov, V. Orlova, Yulia K. Aleksandrova
{"title":"数字足迹在预测学校毕业生教育策略中的作用","authors":"N. Gabdrakhmanov, V. Orlova, Yulia K. Aleksandrova","doi":"10.15826/umpa.2021.03.023","DOIUrl":null,"url":null,"abstract":"This research article aims at evaluating the results of the school graduates’ educational strategy transformation with the help of digital footprint data. The analysis of official and unofficial Internet communities of universities in the social network «VKontakte» shows that their active users are school graduates, who thus receive the necessary information about the university. The method presented can become a promising tool to forecast the demand for higher education. The study covers the period from 2019 to 2021, a total of 502 thousand user profiles having been identified, 246 thousand accounts included in the final sample. The results show that during the analyzed period the number of user subscriptions to university communities has decreased in all Russian regions. The orientation towards universities located in other regions has also changed: these were more popular before the pandemic, being subscribed to by the majority of students, whereas after the spread of COVID-19, most of the graduates began to choose universities located in their native region. A significant limitation of this method is that a number of profiles are closed, which logically does not allow to use them in further analysis. The results of the study show, however, high validity and wide opportunities for the use of the digital footprint method when predicting young people’s educational trajectory and planning the enrollment campaign, both on the scale of the university and the whole country.","PeriodicalId":310472,"journal":{"name":"University Management: Practice and Analysis","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Digital footprint in predicting school graduates’ educational strategy\",\"authors\":\"N. Gabdrakhmanov, V. Orlova, Yulia K. Aleksandrova\",\"doi\":\"10.15826/umpa.2021.03.023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research article aims at evaluating the results of the school graduates’ educational strategy transformation with the help of digital footprint data. The analysis of official and unofficial Internet communities of universities in the social network «VKontakte» shows that their active users are school graduates, who thus receive the necessary information about the university. The method presented can become a promising tool to forecast the demand for higher education. The study covers the period from 2019 to 2021, a total of 502 thousand user profiles having been identified, 246 thousand accounts included in the final sample. The results show that during the analyzed period the number of user subscriptions to university communities has decreased in all Russian regions. The orientation towards universities located in other regions has also changed: these were more popular before the pandemic, being subscribed to by the majority of students, whereas after the spread of COVID-19, most of the graduates began to choose universities located in their native region. A significant limitation of this method is that a number of profiles are closed, which logically does not allow to use them in further analysis. The results of the study show, however, high validity and wide opportunities for the use of the digital footprint method when predicting young people’s educational trajectory and planning the enrollment campaign, both on the scale of the university and the whole country.\",\"PeriodicalId\":310472,\"journal\":{\"name\":\"University Management: Practice and Analysis\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"University Management: Practice and Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15826/umpa.2021.03.023\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"University Management: Practice and Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15826/umpa.2021.03.023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本研究旨在利用数位足迹资料,评估学校毕业生教育策略转型的成效。对社交网络“VKontakte”上大学的官方和非官方网络社区的分析表明,其活跃用户是学校毕业生,因此他们获得了有关大学的必要信息。该方法有望成为预测高等教育需求的有效工具。该研究涵盖2019年至2021年期间,共识别了50.2万个用户资料,最终样本包括24.6万个帐户。结果表明,在分析期间,俄罗斯所有地区的大学社区用户订阅数量都有所下降。对其他地区大学的选择也发生了变化:在疫情前,这些大学更受欢迎,被大多数学生订阅,而在新冠肺炎疫情传播后,大多数毕业生开始选择位于自己家乡的大学。这种方法的一个重要限制是许多概要文件是关闭的,这在逻辑上不允许在进一步的分析中使用它们。然而,研究结果表明,无论是在学校还是在全国范围内,数字足迹方法在预测年轻人的教育轨迹和规划招生活动时都具有很高的效度和广泛的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital footprint in predicting school graduates’ educational strategy
This research article aims at evaluating the results of the school graduates’ educational strategy transformation with the help of digital footprint data. The analysis of official and unofficial Internet communities of universities in the social network «VKontakte» shows that their active users are school graduates, who thus receive the necessary information about the university. The method presented can become a promising tool to forecast the demand for higher education. The study covers the period from 2019 to 2021, a total of 502 thousand user profiles having been identified, 246 thousand accounts included in the final sample. The results show that during the analyzed period the number of user subscriptions to university communities has decreased in all Russian regions. The orientation towards universities located in other regions has also changed: these were more popular before the pandemic, being subscribed to by the majority of students, whereas after the spread of COVID-19, most of the graduates began to choose universities located in their native region. A significant limitation of this method is that a number of profiles are closed, which logically does not allow to use them in further analysis. The results of the study show, however, high validity and wide opportunities for the use of the digital footprint method when predicting young people’s educational trajectory and planning the enrollment campaign, both on the scale of the university and the whole country.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信