1,297,375 research outputs found

    ELF: The electronic learning facilitator

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    As the world‐wide computer network becomes ubiquitous, new tools have been developed, such as the World Wide Web (WWW), for the delivery of multimedia hypertext‐based documents. Similarly, there has been an explosion in the amount of email, bulletin boards, and Usenet News available. This has led to a major problem of information overload: we are slowly but surely being overwhelmed by the amount of information available to us

    Finding Computer Science Syllabi on the World Wide Web

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    Syllabi contain information useful to students, faculty, and many other people, and given the ubiquity of the WWW many schools are now putting their syllabi online for these people and the general public to access. Even though these syllabi may be available, they might be hard to find. This means that faculty, students, and anyone else who might have an interest in viewing those syllabi might find it useful to be able to browse a collection of reliable syllabi. To build a collection of reliable syllabi it is necessary to find those syllabi on the WWW but this is made easy with a tool like the Google Web API. Once the syllabi are found on the Web it is necessary to examine those syllabi and look for desired characteristics to be sure they are desired syllabi. The syllabi that contain the desired characteristics are kept and the rest are discarded. This elimination process can be accomplished using a tool like a classification tree, more specifically, tools like the Orange Data Mining Library and C4.5. This paper describes the process of finding syllabi on the WWW using the Google Web API, retrieving those syllabi using Python, and filtering them using the Orange Data Mining Library and C4.5 so that a reliable set of syllabi can be constructed

    Deterministic Small-World Networks

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    Many real life networks, such as the World Wide Web, transportation systems, biological or social networks, achieve both a strong local clustering (nodes have many mutual neighbors) and a small diameter (maximum distance between any two nodes). These networks have been characterized as small-world networks and modeled by the addition of randomness to regular structures. We show that small-world networks can be constructed in a deterministic way. This exact approach permits a direct calculation of relevant network parameters allowing their immediate contrast with real-world networks and avoiding complex computer simulations.Comment: 6 pages, 1 figur

    A case study of campus‐based flexible learning using the World Wide Web and computer conferencing

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    This paper explores the use of the World Wide Web (WWW) integrated with computer conferencing as a teaching and learning tool. The aim of the study described was to evaluate the effectiveness of the use of online materials designed in a flexible learning format and integrated with a computer conference. It was hoped that this would create additional opportunity for group discourse between campus‐based students. The paper is divided in the following way: a discussion of the context to new developments in teaching and learning is followed by an introduction to the case study. Finally the findings of the case study are discussed with reference to research from the field of collaborative systems (Orlikowski, 1992; Grudin, 1994) as a framework for reflection. Some tentative conclusions are made for future work

    Using World-Wide-Web technology for pathology education

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    In this article, we describe the development of computer-based learning programs for pathology students at Jefferson Medical College. These programs are authored using HTML (HyperText Markup Language), and are available to students on campus and via the internet. Our computer-based learning resources include scheduling information, course goals and objectives, glossary of key words, self-assessment programs and image-based case studies. These educational programs are popular with the students. We recommend the use of World Wide Web technology to improve teaching and learning in pathology education
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