Attitude as Predictor of Success in Online Training
María Victoria Pérez Cereijo, University of Texas at Arlington, United States
International Journal on E-Learning Volume 5, Number 4, ISSN 1537-2456 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA
This is the second article in a series of articles published with findings on student perceptions of asynchronous web-based courses (Pérez Cereijo, Young, & Wilhelm, 2001). This portion of the study examines the independent relationships between various student characteristics and student’s perceived advantages and disadvantages of the asynchronous web delivery of the course and seeks to find a predictor that will help determine students most likely to enjoy taking asynchronous courses online. In the asynchronous web delivery format of this course, students had access to the class’s lecture videos and textual course materials stored in the school’s server, at any time and from anywhere. The data presented in this study provides supporting evidence, which reaffirms universities’ commitment to offering online courses to meet students’ needs. The study also points to attitude, work schedule, and distance from school as possible predictors of student success in this environment.
Pérez Cereijo, M.V. (2006). Attitude as Predictor of Success in Online Training. International Journal on E-Learning, 5(4), 623-639. Waynesville, NC USA: Association for the Advancement of Computing in Education (AACE).
© 2006 Association for the Advancement of Computing in Education (AACE)
ReferencesView References & Citations Map
These references have been extracted automatically and may have some errors. Signed in users can suggest corrections to these mistakes.Suggest Corrections to References
Cited ByView References & Citations Map
Natalie Abell & Melissa Cain, The University of Findlay, United States; Cheng-Yuan Corey Lee, Coastal Carolina University, United States
International Journal on E-Learning Vol. 15, No. 4 (2016) pp. 401–422
Robert Friedman, Norbert Elliot & Blake Haggerty, New Jersey Institute of Technology, United States
International Journal on E-Learning Vol. 9, No. 1 (January 2010) pp. 51–77
Learning Attributes Essential for Online Success: An Instrument for Assessing and Supporting Students
Natalie Abell, Cheng-Yuan 'Corey' Lee, Melissa Cain & Heather Wulff, The University of Findlay, United States
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2007 (Oct 15, 2007) pp. 589–594
These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact email@example.com.