On-line tutorials: What kind of inference leads to the most effective learning?

  • Authors:
  • J. B. Black;J. S. Bechtold;M. Mitrani;J. M. Carroll

  • Affiliations:
  • Columbia Univ., New York, NY;Columbia Univ., New York, NY;Columbia Univ., New York, NY;IBM Thomas J. Watson Research Center

  • Venue:
  • CHI '89 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  • Year:
  • 1989

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Abstract

This paper presents an empirical study comparing the effectiveness of four different versions of an on-line database tutorial, each of which calls upon the student to perform a different kind of inference. The general-to-specific version presents instructions in the form of general rules, from which the students expected to infer how to apply the rule in the give context. The explanation-to-specific version supplies information about the functional organization of the database program in addition to general rules. The specific-to-specific condition gives an example of the use of a command; the student must infer how to apply the command in a slightly different context. The control version gives explicit instructions. The best performance on a post-test consisting of realistic tasks was obtained from the general-to-specific and explanation-to-specific conditions.