Üniversite Adayı Öğrencilerin Tercihlerindeki Ölçütlerin Belirlenmesi: Twitter Sosyal Medya Platformu Üzerinde İçerik Analizi
Yazarlar:
Muhammet Berigel Fatih Gürcan
Yayın Yılı:
2019
Yayıncı:
7. Uluslararası Öğretim Teknolojileri ve Öğretmen Eğitimi Sempozyumu (ITTES)
Dil:
Türkçe
Disipline:
Eğitim
Konu:
Sociology of Education,Computers and Education
Özet (AI):
Üniversite adayı öğrencilerin tercihlerindeki ölçütlerin belirlenmesi amacıyla yapılan çalışmada, Twitter sosyal medya platformu üzerinde paylaşılan mesajlar incelenmiştir. Sosyal medyanın günümüzde hayatın önemli bir parçası olduğu ve üniversite adayı öğrencilerin kariyer planlamalarında etkili olduğu vurgulanmıştır. Twitter platformunun bilgi ve fikir paylaşımında öncü bir rol üstlendiği belirtilmiştir. Çalışmanın üniversite tercih dönemlerinde aday öğrencilere rehberlik edebileceği ve kariyer planlamasında hataları azaltabileceği vurgulanmıştır.
Anahtar Kelime (AI):
Sosyal Medya
Öğrenci Tercihleri
Kümeleme Analizi Abstract Today
Social Media Platforms Have Become An Important Part Of Individuals' Lives From Shopping To E-mails
Education
And Business Tools. With The Spread Of Social Media
Many Studies Have Been Conducted With Different Methods Related To Social Media Analysis. Candidate Students Are Exposed To The Influence Of Individuals
Instructors
Online Environments And Social Media In Their Career Planning And Directing Their Future. Within These Social Networks
The Twitter Social Media Platform Plays A Leading Role All Over The World
Especially In The Sharing Of Information And Ideas. Inquiring And Understanding University Students' Online Experiences And Research Into Their Career On Social Networking Sites Will Help Highlight The Opportunities That Social Networking Sites Can Offer To Individuals In Their Careers. In Addition
Identifying The Factors Affecting The Choice Of University And Career Choice Of Prospective Students Will Reduce The Mistakes In Career Planning And Guide The Career Planning Units. In Our Country
During The Period Of Preference Of Universities
There Is A Serious Information Sharing And Guidance Among The Candidate Students On The Twitter Platform. In This Study
Which Was Conducted To Identify The Criteria Of The Students In Their University Preferences
The Messages Shared Between Them On The Twitter Platform Were Analyzed With K-means Clustering Procedure
Which Is One Of The Data Mining Approaches. In This Study
K-means Algorithm Is Applied For K = 10 Value And The Data Is Grouped As 10 Subsets. Thus
As A Result Of The Experimental Analysis
The 10 Most Important Semantic Themes That Indicate The Preference Criteria Of The Candidate Students In 2018 Were Discovered. According To The Findings Obtained From This Experimental Analysis
The First Three Criteria Are The "department"
"university" And "base Scores Of Departments" Among The 10 Subsets That Indicate The Preferences Of Candidate Students In 2018. It Is Expected That The Method And The Results Of This Study May Be Helpful In Understanding The Preferences And Interests Of The Candidate Students And In Determining The Future Strategies Of The Universities.
University Candidate Determination Of The Standards In The Preferences Of Students: Twitter On The Social Media Platform; Content Analysis
Yazarlar:
Muhammet Berigel Fatih Gürcan
Yayın Yılı:
2019
Yayıncı:
7. Uluslararası Öğretim Teknolojileri ve Öğretmen Eğitimi Sempozyumu (ITTES)
Dil:
Turkish
Disiplin:
Sociology of Education,Computers and Education
Konu:
Sociology of Education,Computers and Education
Özet:
(AI):
In a study aimed at determining the criteria in the preferences of the university candidate students, the messages shared on the social media platform Twitter were studied. It has been emphasized that social media is an important part of life today and that the university candidate is effective in student career planning. Twitter plays a leading role in sharing information and ideas. It has been emphasized that the study can guide candidate students in the university preference periods and can reduce errors in career planning. and a)
Anahtar Kelimeler:
(AI):
Social Media
Student Preferences
Aggregation Analysis Abstract Today
Social Media Platforms Have Become An Important Part Of Individuals' Lives From Shopping To E-mails
Education
And Business Tools.with The Spread Of Social Media
Many Studies Have Been Conducted With Different Methods Related To Social Media Analysis.candidate Students Are Exposed To The Influence Of Individuals
Instructors
Online Environments And Social Media In Their Career Planning And Directing Their Future.within These Social Networks
The Twitter Social Media Platform Plays A Leading Role All Over The World
Especially In The Sharing Of Information And Ideas.inquiring And Understanding University Students' Online Experiences And Research Into Their Career On Social Networking Sites Will Help Highlight The Opportunities That Social Networking Sites Can Offer To Individuals In Their Careers.ın Addition
Identifying The Factors Affecting The Choice Of University And Career Choice Of Prospective Students Will Reduce The Errors In Career Planning And Guide The Career Planning Units.in Our Country
During The Period Of Preference Of Universities
There Is A Serious Information Sharing And Guidance Among The Candidate Students On The Twitter Platform.in This Study
Which Was Conducted To Identify The Criteria Of The Students In Their University Preferences
The Messages Shared Between Them On The Twitter Platform Were Analyzed With K-means Clustering Procedure
Which Is One Of The Data Mining Approaches.in This Study
K-means Algorithm Is Applied For K = 10 Value And The Data Is Grouped As 10 Subsets.thus
As A Result Of The Experimental Analysis
The 10 Most Important Semantic Themes That Indicate The Preference Criteria Of The Candidate Students In 2018 Were Discovered.according To The Findings Obtained From This Experimental Analysis
The First Three Criteria Are The "department"
"university" And "base Scores Of Departments" Among The 10 Subsets That Indicate The Preferences Of Candidate Students In 2018. It Is Expected That The Method And The Results Of This Study May Be Helpful In Understanding The Preferences And Interests Of The Candidate Students And In Determining The Future Strategies Of The Universities.