Interactive learning online: Challenges and opportunities

Since the early 1990s online education and online learning systems have held the promise of increasing instructional productivity and reducing costs without sacrificing educational quality. There is no evidence to date that such promise has materialized. The impetus of the newest developments with free online courses to hundreds of thousands of students might drastically transform how we teach more and better with less. The innovation that prompted this panel is called Interactive Learning Online (ILO), and has the distinctive feature of highly interactive, machine-guided instruction that can be scaled to accommodate a large number of students who benefit from targeted and personalized learning. The panelists have experimented with online learning in different ways. Their perspectives will address challenges and opportunities with the adoption of ILO systems

The Design and Evaluation of an Interactive Social Engineering Training Programme

Social engineering is a major issue affecting organisational security. Educating employees on how to avoid social engineering attacks is important because social engineering tries to penetrate an organisation by using employees to grant authorized access to sensitive information. While there are a number of theoretical studies about social engineering, a few practical studies have moved towards educating and training employees on how to spot such attacks. In this research, we emphasise the importance of educating employees to make them more resilient to these kinds of attacks. We developed an educational video encapsulated within a Social Engineering Training Programme. This is essentially an interactive training video during which the learner interacts with three different scenarios; educational content, a knowledge-check, and a web page containing the latest news about current social engineering attacks. The training programme was evaluated in a Saudi trading company with 24 employees. The evaluation showed that the programme delivered a positive impact in terms of awareness, as tested by a post-training qui

The Need to Support of Data Flow Graph Visualization of Forensic Lucid Programs, Forensic Evidence, and their Evaluation by GIPSY

Lucid programs are data-flow programs and can be visually represented as data flow graphs (DFGs) and composed visually. Forensic Lucid, a Lucid dialect, is a language to specify and reason about cyberforensic cases. It includes the encoding of the evidence (representing the context of evaluation) and the crime scene modeling in order to validate claims against the model and perform event reconstruction, potentially within large swaths of digital evidence. To aid investigators to model the scene and evaluate it, instead of typing a Forensic Lucid program, we propose to expand the design and implementation of the Lucid DFG programming onto Forensic Lucid case modeling and specification to enhance the usability of the language and the system and its behavior. We briefly discuss the related work on visual programming an DFG modeling in an attempt to define and select one approach or a composition of approaches for Forensic Lucid based on various criteria such as previous implementation, wide use, formal backing in terms of semantics and translation. In the end, we solicit the readers' constructive, opinions, feedback, comments, and recommendations within the context of this short discussion.Comment: 11 pages, 7 figures, index; extended abstract presented at VizSec'10 at http://www.vizsec2010.org/posters ; short paper accepted at PST'1