Students' Organization Strategies of Personal Information Space.

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

Research output: Contribution to journalArticlepeer-review

Abstract

This study uses novel 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 was 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.
Original languageEnglish
Pages (from-to)1-17
Number of pages17
JournalJournal of Digital Information
Volume10
Issue number5
StatePublished - 1 Sep 2009

Keywords

  • Data mining
  • Personal information management
  • World Wide Web
  • Algorithms
  • Learning
  • Organization

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