Students' Organization Strategies of Personal

Sharon Hardof-Jaffe, Arnon Hershkovitz, Hama Abu-Kishk, Ofer Bergman, Rafi Nachmias

Abstract


Abstract. This study uses new powerful data mining methods in order to
observe students' personal information space organization strategies in the
personal Web space allocated to them on the university servers. The study
included 518 users with a personal information space of at least 10 files. Data
regarding their personal information space were collected, and a clustering
algorithm was applied in order to identify profiles of students' organization
strategies. Four clusters were found, refining the classical piling/filing
classification: piling, one folder filing, small folders filing and big folder filing.
Also, association was found between these profiles and personal information
space size. A discussion of these results is provided.

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