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Implications of Artificial Intelligence Abstract ARTIFICIAL INTELLIGENCE AND AUTOMATIC PROGRAMMING IN CAI
No full textThis paper discusses generative computer-assisted instruction (CAI) and its relationship to Artificial Intelligence Research. Systems which have a limited capability for natural language communication are described. In addition, potential areas in which Artificial Intelligence could be applied are outlined. These include individualization of instruction, determining the degree of " accuracy of a student response, and problem-solving, A CAI system which is capable of writing computer programs is described in detail. Techniques are given for generating meaningful programming problems. These problems are represented as a sequence of primitive tasks each of which can be coded in several ways. The manner in which the system designs its own solutio
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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