Innovation Attributes of F2F Computer-Assisted Cooperative Learning in Teaching Reading Skills

Amr Abdullatif Yassin, Norizan Abdul Razak and Tg Nor Rizan Tg Mohamad Maasum
Additional contact information
Amr Abdullatif Yassin: Ibb University, Yemen
Norizan Abdul Razak: Universiti Kebangsaan Malaysia, Malaysia
Tg Nor Rizan Tg Mohamad Maasum: Universiti Kebangsaan Malaysia, Malaysia

International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 2021, vol. 17, issue 3, 1-17

Abstract: This study aimed at investigating the innovation attributes of face-to-face Computer Assisted Cooperative Learning (CACL). It employed a mixed method design as the data were collected through a survey and semi-structured interviews. The findings showed that face to face CACL has a high degree of adoption in higher education institutes to teach EFL/ESL learners. Also, the regression analysis showed that the five factors are strong predictors of innovation adoption with complexity has the highest significance, followed by compatibility, relative advantage, observability and trialability respectively. The study found that accessibility is an emerging innovation attribute which increases the adoption of any innovation practice. The paper concluded that the human element of face-to-face cooperative learning increases the adoption of CACL, and that relative advantage has influence on the other innovation attributes. The study recommends using face-to-face CACL in teaching EFL/ESL learners, and using accessibility as an innovation attribute.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... /IJWLTT.20220501.oa4 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jwltt0:v:17:y:2021:i:3:p:1-17

Access Statistics for this article

International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) is currently edited by Mahesh S. Raisinghani

More articles in International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) from IGI Global
Bibliographic data for series maintained by Journal Editor ().