FST Graduate Research Topic

Research Topic: Software Product Line Approach to Learning Content Customization
Suggested By: Ebrahim Bagheri
Last Update: February 6th, 2010

In many cases the learning content is customized to suit the needs of the learners in such a way that the previous experience, knowledge and preferences of the learners are taken into consideration. This process is very similar to the representation of software features in a software product line. In this work, we are interested in investigating whether variable learning content can be represented using software product lines, and whether or not a software product line configuration process can be used to customize the available learning content for specific learners. The background knowledge, experience, and preferences of the learner needs to be represented as the hard and soft constraints of a software product line configuration process. This project will be done in the AU semantic technologies lab under the supervision of both Dr. Ebrahim Bagheri and Dr. Dragan Gasevic as well as in collaboration with an energetic team of postdoctoral fellows and PhD students associated with this lab.