Web2.0, knowledge sharing and privacy in E-learning
E-learning emerged over 20 years ago, and was merely book like text displayed on a computer screen. With the changes and advances in technology, E-learning has come a long way, providing personal and interactive rich content. Today, E-learning is again going through major changes. Indeed, with the proliferation of E-learning systems and content authoring tools, as well as established standards, it has become easier to share and reuse learning content. Moreover, with the shift to learner centered education and the effect of Web2.0 techniques and technologies, learners are no longer just recipients of the learning content, but can play an active role into enriching such content. Additionally, with the amount of information E-learning systems can gather about learners, and the impact this has on their privacy, concerns are being raised in order to protect learners’ privacy. Nonetheless, to the best of our knowledge, there is no existing work that supports the various challenges raised by these changes. In this work, we address these issues by presenting Cadmus, SHAREK, and privacy preserving E-learning. Specifically, Cadmus is an IMS QTI compliant web based assessment authoring tool, offering the proper framework and tools to enable tutors author and share questions and exams. In detail, Cadmus provides functionalities such as the EQRS (Exam Questions Recommender System) to help tutors locate suitable questions, ICE (Identification of Conflicts in Exams) to help resolve conflicts between questions within the same exam, and the topic tree, designed to help tutors better organize their exam questions and easily ensure the content coverage of their exams. On the other hand, SHAREK (Sharing REsources and Knowledge) provides the framework to take advantage of both the rigidity of E-learning systems and the flexibility of PLEs (Personal Learning Environment) while enabling learners to enrich the learning content, and helping them locate new learning resources. Specifically, SHAREK utilizes a multi-criteria content based recommender system, and combines Web2.0 technologies and techniques such as RSS and social web to promote new learning resources and help learners locate suitable content. Lastly, in order to address the various needs for privacy in E-learning, we propose a framework with four levels of privacy, and four levels of tracking, and we detail ACES (Anonymous Credentials for E-learning Systems), a set of protocols, based on well established cryptographic techniques, to help learners achieve their desired level of privacy.
E-learning Web2.0 Privacy Knowledge sharing