Student Success in a University First-Year Statistics Course: Do Students' Characteristics Affect Their Academic Performance?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F24%3A10474519" target="_blank" >RIV/00216208:11230/24:10474519 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=dcHmKQudZ" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=dcHmKQudZ</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/26939169.2023.2184435" target="_blank" >10.1080/26939169.2023.2184435</a>
Alternative languages
Result language
angličtina
Original language name
Student Success in a University First-Year Statistics Course: Do Students' Characteristics Affect Their Academic Performance?
Original language description
In this article, we explore the drivers of students' success in a first-year university statistics course. Using a unique sample from Westminster International University in Tashkent, we discover that student engagement with their studies is reflected in their class attendance and in the use of online resources, which continue to play an important role in their academic performance. Moreover, we discovered that socio-demographic factors such as age, gender, marital status, employment, and language of instruction of prior schooling are significant in explaining student academic outcomes. These factors have important policy implications for both the university and the broader national level.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50201 - Economic Theory
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Statistics and Data Science Education
ISSN
2693-9169
e-ISSN
2693-9169
Volume of the periodical
32
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
12
Pages from-to
24-35
UT code for WoS article
000969446200001
EID of the result in the Scopus database
2-s2.0-85152458997