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Students' perceptions of computer-based learning environments, their attitude towards business statistics, and their academic achievement

Implications from a UK university

Bibliographic Data

ID14689807
AuthorsThuyUyen H Nguyen (Northumbria University, corresponding author), Ian Charity (0000-0002-6867-156X, Northumbria University), Andrew Robson (0000-0001-7367-1161, Northumbria University)
Year2016
Volume41
Issue4
Pages734-755
Publication date2016-04-02
Open AccessNo
TypeARTICLE
VenueStudies in Higher Education (JOURNAL)
Journal identifiersISSN: 0307-5079 • E-ISSN: 1470-174X
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/03075079.2014.950562
OpenAlexW2008880328
LanguageEN
Citations received2
References cited55

This study investigates students' perceptions of computer-based learning environments, their attitude towards business statistics, and their academic achievement in higher education. Guided by learning environments concepts and attitudinal theory, a theoretical model was proposed with two instruments, one for measuring the learning environment and the other for measuring student attitude. Data were collected from 453 postgraduate business students in a UK university. Factor analyses were carried out to validate the instruments, whilst structural equation modelling was employed to validate the proposed model. The results demonstrate the importance of students' perceptions of subject integration within the learning environment and the relationship between their perceptions of cohesiveness, task orientation, and anxiety. The findings show that attitude towards statistics is significantly related to achievement, explaining almost 40% of variation, whilst perception of the learning environment (indirectly) explains about 29% of the achievement. Implications for teaching business statistics in higher education are discussed

Academic achievement · Business statistics · Group cohesiveness · Higher education · Learning environment · Management · Mathematics education · Perception · Statistics · Structural equation modeling · Computer Science · Educational Environments and Student Outcomes · Innovations in Educational Methods · Mathematics · Online and Blended Learning · Psychology · Social Psychology

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Citations per year0.25
Citation span2018 - 2024 (7)
Highly citedNo

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