Today is the last day of the Hypertext conference with the last session on eLearning and navigation. The first paper is Design and Evaluation of a Hypervideo Environment to Support Veterinary Surgery Learning by Claudio AB Tiellet, André Grahl Pereira, Eliseo Berni ategui, José Valdeni Lima, and Teresa Chambel. In this work, the authors' goal was to provide interactive access to high volume of nonlinear structured info construction of knowledge for animal doctors to perform surgery. Hypervideo is the integration of video in hypermedia structured through links which can be used by the doctors for searching, indexing, real time annotation and learning at different phases and at different situations. The hypervideo environment that they created is called HVet. The surgical index is structured as structured text and synchronized with video. The students had classes using the HVet with theory and then practice with live animals. Students believe they are able to perform surgery only through HV e-learning.
The second paper is The Value of Adaptive Link Annotation in E-Learning: A Study of a Portal-Based Approach by I-Han Hsiao, Peter Brusilovsky, Michael Yudelson, and Alvaro Ortigosa. They created QuZGuide, a topic-based adaptive navigation for quizzes. A non-adaptive portal does not have icons, colour of the icons and tell the students whether it is a good time to start on this topic. They did not use collaborative tools and tagging in this work, but did find out that adaptive pages (like how many students have used this part of the course) helped weak students rather than strong students.
The third paper is Agents, Bookmarks and Clicks: A topical model of Web navigation by Mark Meiss, Bruno Goncalves, Jose Ramasco, Alessandro Flammini, and Filippo Menczer. Their premise is that PageRank is not good enough for web navigation and they want to create a model for web navigation. Therefore they created the BookRank algorithm and the ABC model. The ABC model adds energy into the model, and their results show that ABC recovers entropy. They got the empirical data from a study of 1000 students. For their model, the bookmark list and initial energy are obtained from empirical data.
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