Assessing the accessibility of E-learning

Equal participation for people with special needs is an important objective in education politics. Governments have a strong emphasis on enabling education for all citizens. The trend of using e-learning both for on campus and remote delivery of students has the potential of enabling new opportunities for people who previously faced challenges following education. On the other hand, providing online education bears the risk of creating new barriers. This paper examines different stages of providing educational content and delivering teaching material online. This is based on practical experiences from Noroff University College providing a bachelor degree in a security related area. Based on both practical experiences and state of the art literature review, we analyze potential accessibility barriers, and investigate how the barriers can be identified and removed based on state of the art accessibility measurement techniques. Consequently, this paper is a first step towards a methodology on assessing e-learning content based on accessibility. This methodology would assist others in obtaining an overview concerning the degree of accessibility of their own learning materials

An extensible platform for the forensic analysis of social media data

Visualising data is an important part of the forensic analysis process. Many cell phone forensic tools have specialised visualisation components, but are as of yet able to tackle questions concerning the broad spectrum of social media communication sources. Visualisation tools tend to be stove-piped, it is difficult to take information seen in one visualisation tool and obtain a different perspective in another tool. If an interesting relationship is observed, needing to be explored in more depth, the process has to be reiterated by manually generating a subset of the data, converting it into the correct format, and invoking the new application. This paper describes a cloud-based data storage architecture and a set of interactive visualisation tools developed to allow for a more straightforward exploratory analysis. This approach developed in this tool suite is demonstrated using a case study consisting of social media data extracted from two mobile devices