The correlates of the digital divide and their impact on college student learning
ARTICLE
Flora F. Tien, Tsu-Tan Fu
Computers & Education Volume 50, Number 1, ISSN 0360-1315 Publisher: Elsevier Ltd
Abstract
By focusing on two dimensions of the digital divide—computer use and computer knowledge, this study explores four research questions: (1) What are the undergraduates doing with the computers they use at colleges? (2) How do undergraduates perform in regard to computer knowledge and skills? (3) With what is the digital divide among college students correlated? (4) What consequences does the digital divide have for student academic performance? In order to answer these research questions, a national survey was conducted. The survey investigated 3083 first-year college students of 12 4-year universities in Taiwan. A total of 2719 of them completed the questionnaires resulting in a response rate of 88.2%. In this study, the digital divide is measured in terms of computer use, which includes a variety of purposes for using computers and academic-related work as a proportion of total computer hours, and computer knowledge. Multiple regressions and a generalized ordered logit, i.e. a partial proportional odds model, are employed. The main findings include the following: (1) Undergraduates use computers not only for fulfilling their academic requirements and searching for information, but also for entertainment. On average, undergraduates spend about 19h per week using computers, of which 5h are academic-related. (2) Most undergraduates perform at the middle average level in terms of computer knowledge. (3) No significant differences among correlates in relating to demographic and socioeconomic family background were found in predicting the various purposes in using computers. (4) Students who are female, whose fathers and/or whose mothers are from minorities, whose fathers are blue-collar workers or unemployed, who study in the fields of the humanities and social sciences, and who enter private universities are at a disadvantage in terms of computer skills and knowledge. However, female students, students whose mothers were less educated and students who enroll in private universities are more focused computer users in terms of allocating time to academic-related work. (5) Computer knowledge and devotion to using computers for academic-related work have a moderate effect on college student learning, while the various other uses of computers do not. Of the different kinds of computer knowledge, it is the knowledge of software that helps students to learn the most.
Citation
Tien, F.F. & Fu, T.T. (2008). The correlates of the digital divide and their impact on college student learning. Computers & Education, 50(1), 421-436. Elsevier Ltd. Retrieved March 21, 2023 from https://www.learntechlib.org/p/66630/.
This record was imported from
Computers & Education
on February 1, 2019.
Computers & Education is a publication of Elsevier.
Keywords
- academic achievement
- Access to Computers
- Access to Information
- adult learning
- computer literacy
- Computer Software
- Computer Uses in Education
- country-specific developments
- Demography
- Digital Divide
- Educational Attainment
- Employment Level
- Foreign Countries
- gender differences
- Leisure Time
- Majors (Students)
- Minority Groups
- Parent Influence
- post-secondary education
- Private Colleges
- Recreational Activities
- Socioeconomic Status
- Teaching/Learning Strategies
- undergraduate students
Cited By
View References & Citations Map-
The Digital Usage Gap: A Study On The Technology Proficiency Of Community College Students
Heather Robinson & Christina Gilliam, University of North Texas, United States
Society for Information Technology & Teacher Education International Conference 2014 (Mar 17, 2014) pp. 980–985
-
Do ICT Competences Support Educational Attainment at University?
Kurt De Wit, University of Leuven, Belgium; Dirk Heerwegh, Sint-Lambrechts-Woluwe, Belgium; Jef C. Verhoeven, University of Leuven, Belgium
Journal of Information Technology Education: Research Vol. 11, No. 1 (Jan 01, 2012) pp. 1–25
These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact info@learntechlib.org.