• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Zhang, Wei (Zhang, Wei.) | Zhu, Chang (Zhu, Chang.)

Indexed by:

EI Scopus

Abstract:

Blended learning has been studied for many years. However, it is necessary to assess whether blended learning is a good practice as opposed to face-to-face and online learning. Based on the Seven Principles for Good Practice in Undergraduate Education, a questionnaire was designed to compare blended learning in seven dimensions to traditional and online learning. A total of 653 students participated in the research. Independent T-test, paired T-test and ANCOVA were conducted using SPSS. The results showed that blended learning was reported to have a higher effectiveness than traditional learning for all seven principles and a higher effectiveness than online learning for most of the principles. Learning modes had a significant effect on student perceptions on most of the principles. Gender had significant effect on student perception of all seven principles, while year of study and knowledge domain did not show significant effects on most of the principles. Possible reasons for these findings are discussed. Copyright © 2020, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.

Keyword:

E-learning Students

Author Community:

  • [ 1 ] [Zhang, Wei]Beijing University of Technology, Beijing, China
  • [ 2 ] [Zhu, Chang]Vrije Universiteit Brussel, Brussels, Belgium

Reprint Author's Address:

Email:

Show more details

Related Keywords:

Related Article:

Source :

International Journal of Mobile and Blended Learning

ISSN: 1941-8647

Year: 2020

Issue: 1

Volume: 12

Page: 64-81

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 12

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

Affiliated Colleges:

Online/Total:952/10641957
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.