1. clicking to view the blog entry,
2. typing in the comment in the comment box,
3. clicking the submit button, and
4. awaiting acceptance of the comment by the user.
1. Adapt existing open source software, Unobtrusive AJAX Rating Bars V.1.2.2 [ 58], to Elgg.
3. Utilize a ratings scale of 1 through 5 stars with 1 star being the lowest rating.
4. Provide a breakdown of ratings when hovering over the average rating (see Fig. 4).
5. Ratings are displayed and editable at the individual blog level. Ratings are displayed but not editable from the homepage.
6. Ratings appear directly below the blog post title.
7. If a user has not rated a blog, “Rate this blog” text appears next to the stars.
8. If a user is not logged in, “Log in to rate this blog post” text will appear next to the stars.
9. To avoid ballot stuffing, a user can rate a blog post only once and users who are not logged into the system cannot rate blog posts.
10. If a user has already rated a blog post, that user can change his or her vote by selecting a different rating.
11. A user can delete a blog post subsequently deleting those ratings from his or her profile.
12. After rating an item, a dialog prompts users to input personalized feedback only the blog poster can view ( Fig. 5).
1. Will blog feedback impact course learning in large classroom environments?
2. Will blog feedback impact social interaction in large classroom environments?
3. Will blog feedback impact course motivation in large classroom environments?
Hypothesis 1 (H1). A social feedback system for blogs will positively impact perceived learning.
Hypothesis 2 (H2). A social feedback system for blogs will positively impact perceived social interaction.
The author is with Farmingdale State College, 20 Marshall Ave., Floral Park, NY 11001. E-mail: email@example.com.
Manuscript received 23 Jan. 2010; revised 14 July 2010; accepted 17 Nov. 2010; published online 22 Mar. 2011.
For information on obtaining reprints of this article, please send e-mail to: firstname.lastname@example.org, and reference IEEECS Log Number TLT-2010-01-0005.
Digital Object Identifier no. 10.1109/TLT.2011.9.
1. Self-registration was disabled to protect the integrity of the site and eliminate spam accounts. However, any student registered could invite new individuals into the community.
Brian Thoms received the BS degree in computer science from Fordham University, the MS degree in information systems from Stevens Institute of Technology, and the PhD degree in information systems and technology from Claremont Graduate University. He is an assistant professor of computer systems at Farmingdale State College, New York. He has been working in the IT sector since 1997 providing strategic software solutions on and off Wall St. Today, his primary research measures the impact of social technologies on learning and interaction within higher educational settings. In 2007, his paper, titled “Resurrecting Graduate Conversation through an Online Learning Community,” won the award for Best Research Paper at the IADIS Multiconference on Computer Science and Information Systems. He is also the chief software engineer for HealthATM.com, which provides personal health management for at-risk populations.