Document Type

Article

Publication Date

2021

DOI

10.4018/ijopcd.2021070102

Publication Title

International Journal of Online Pedagogy and Course Design

Volume

11

Issue

3

Pages

17-35

Abstract

Many institutions have adopted an online accelerated learning model in which intensive online instructions are offered during the course of a normal semester to help students complete classes. Current research has focused on comparing different instructional lengths. Mixed findings have been reported. Accelerated instructions are not necessarily superior or inferior to traditional 16-week instructions. Research should focus on what is crucial and how to prepare students to succeed in accelerated online courses. This study examines whether self-regulated learning (SRL) skills may serve as predictors of positive accelerated learning experiences. It concludes that five SRL skills can predict success in online accelerated learning experiences and suggested educators should identify and prepare students with relevant SRL skills prior to attempting accelerated instructions to warrant a positive learning experience.

Comments

© 2021 IGI Global.

IGI GLOBAL AUTHORS, UNDER FAIR USE CAN:

Post the final typeset PDF (which includes the title page, table of contents and other front materials, and the copyright statement) of their chapter or article (NOT THE ENTIRE BOOK OR JOURNAL ISSUE), on the author or editor's secure personal website and/or their university repository site.

Copying or distributing in print or electric forms without written permission of IGI Global is prohibited.

Publisher's version available at: http://dx.doi.org/10.4018/IJOPCD.2021070102

Original Publication Citation

Yen, C. J., Ozkeskin, E. E., Tankari, M., Tu, C. H., Harati, H., & Sujo-Montes, L. E. (2021). Online accelerated learning experiences and self-regulated learning skills among undergraduate students. International Journal of Online Pedagogy and Course Design, 11(3), 17-35. http://dx.doi.org/10.4018/IJOPCD.2021070102

Download

Share

COinS