Publication Cover
Educational Psychology
An International Journal of Experimental Educational Psychology
Volume 36, 2016 - Issue 9
1,941
Views
4
CrossRef citations to date
0
Altmetric
Articles

The influence of student learning characteristics on purchase of paper book and eBook for university study and personal interest

Pages 1544-1559 | Received 17 May 2014, Accepted 16 Dec 2014, Published online: 21 Jan 2015
 

Abstract

First-year university students (n = 199) completed an online questionnaire that queried their purchase of paper books and eBooks for university study and personal interest. The questionnaire also required students to rate their learning characteristics including reading strategies, study self-regulation, learning control beliefs and achievement motivation. Self-reported student learning characteristic scores were associated with self-reported book purchases. For example, as student extrinsic motivation scores increased, number of paper books purchased for university study tended to increase. As student learning control belief scores increased, purchase of eBooks for university study tended to increase. Collectively, such results lend support to the conclusion that education students who embrace emerging technologies such as eBooks and who read for leisure perceive themselves as more able learners than students who do not embrace emerging technologies such as eBooks and who do not read for leisure.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 759.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.