Paper Info
Title
BBookX: Design of an Automated Web-based Recommender System for the Creation of Open Learning Content.
Abstract
We describe BBookX, a web-based tool that uses a human-computing approach to facilitate the creation of open source textbooks. The goal of BBookX is to create a system that can search various Open Educational Resource (OER) repositories such as Wikipedia, based on a set of user-generated criteria, and return various resources that can be combined, remixed, and re-used to support specific learning goals. As BBookX is a work-in-progress, we are in the midst of a design-based research study, where user testing guided multiple rounds of iteration in the design of the user interface (UI) as well as the query engine. From an interface perspective, the challenges we present are the matching of the UI to users' mental models from similar systems, as well as educating users how to best work with the algorithms in an iterative manner to find and refine content for inclusion into open textbooks.
Year
DOI
Venue
2016
10.1145/2872518.2891077
WWW (Companion Volume)
Field
DocType
Citations 
Recommender system,User testing,World Wide Web,Open learning,Educational resources,Computer science,Web application,User interface,Multimedia,Personalization
Conference
1
PageRank 
References 
Authors
0.36
10
10
Name
Order
Citations
PageRank
Bart Pursel1102.30
Chen Liang2637.53
Shuting Wang38212.56
Zhaohui Wu415813.51
Kyle Williams520821.61
Benjamin Bräutigam6182.34
Sherwyn Saul7182.01
Hannah Williams8182.01
Kyle Bowen9182.01
C. Lee Giles10111541549.48