2,519
Views
90
CrossRef citations to date
0
Altmetric
Original Articles

Collaborative online learning: interaction patterns and limiting factors

Pages 135-149 | Published online: 23 Jan 2007
 

Abstract

This paper reports on two studies related to online communication in distance learning courses. In the first study, students' messages in an online discussion board were analyzed to identify message categories and interaction patterns in an attempt to develop a framework for analyzing online messages. In the second study, a questionnaire survey was conducted to find out why some students were not participating actively in online discussion. The results showed that access to computers was not a deterrent to online participation for this group of students. Rather, it was the lack of time and the learners' preference for spending time on reading than on online discussion that formed the most significant barriers. In addition, students' level of participation was affected by their peers.

Notes

* School of Education and Languages, The Open University of Hong Kong, 30 Good Shepherd Street, Homantin, Kowloon, Hong Kong. Email: [email protected]

XX represents the name of the student; this is to cover up the identity of the participants.

This question was posed to the tutor.

The MTR is the underground railway in Hong Kong.

Additional information

Notes on contributors

Yvonne Y.H. FungFootnote*

* School of Education and Languages, The Open University of Hong Kong, 30 Good Shepherd Street, Homantin, Kowloon, Hong Kong. Email: [email protected]

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 232.00 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.