Development of a Model for Retention of MS/MPhil Students at Virtual University (VU) of Pakistan

Autor/inn/en	Rafiq, Muhammad Yasir; Azad, Mueen Ud-Din; Rafique, Aamer; Chang, Lu Shi
Titel	Development of a Model for Retention of MS/MPhil Students at Virtual University (VU) of Pakistan
Quelle	In: International Journal of Distance Education Technologies, 18 (2020) 2, S.1-18, Artikel 1 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1539-3100
DOI	10.4018/IJDET.2020040101
Schlagwörter	School Holding Power; Foreign Countries; Distance Education; Graduate Students; Predictor Variables; Withdrawal (Education); Dropouts; Student Characteristics; Educational Environment; Gender Differences; Place of Residence; Scholarships; Departments; Virtual Universities; Pakistan + Suchen Sie Ihr Suchwort? Ausland; Distance study; Distance learning; Fernunterricht; Graduate Study; Student; Students; Aufbaustudium; Graduiertenstudium; Hauptstudium; Studentin; Prädiktor; Kursabbruch; Drop-out; Drop-outs; Dropout; Early leavers; Schulversagen; Lernumgebung; Pädagogische Umwelt; Schulumwelt; Geschlechterkonflikt; Wohnort; Scholarship; Stipendium; Department; Abteilung
Abstract	Due to the of use of ICTs and ODL, Virtual University (VU) has become one of leading distance learning university in Pakistan. However, the retention rate among online learners found considerably low. The primary objective of this research was to dig out determinants of retention of MS/MPhil students at VU and modeling their retention by considering important influences. For sampling purpose, three departments with the most students were considered and complete enumeration was done. There were 4,608 students from three departments; Computer Science & Technology, Management Sciences and Education have been included in this study. To dig out the important retention factors, this research has used a Chi-Square test, optimal scaling, a decision tree using CHAID analysis, and then developed a suitable model for student retention. Binary logistic regression techniques were applied. Results have revealed that gender, scholarship, province, location, and division are significant factors and contributing in predicting students' retention at VU. Detailed outputs are shown in respective tables and figures. At the end, different recommendations and suggestions are proposed. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2022/1/01