Table of Contents: RATH
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Application: RATH - Relational Adaptive Tutoring Hypertext

Introduction

  • Albert & Hockemeyer (1997) influenced by knowledge space theory as well as the Dexter hypertext reference model (Halasz et al., 1994)
  • Model can be combined with knowledge space theory and relational algebra and database theory
    Facilitates the combination of efficient procedures from these fields
  • Domain of knowledge: elementary probability theory
  • Overview
    • Adaptive Tutoring
    • Theoretical models underlying RATH:
      • Knowledge space theory (already introduced)
      • Relational model for the structure of hypertext
    • Overview of Held's (1992) analysis of the domain of elementary probability theory used for constructing a simple course for this field.
    • Description of the resulting system RATH itself.

Adaptive Tutoring


Theoretical models underlying RATH

  • KS Theory (already known): Learning Paths
  • Relational Hypertext Model

Knowledge Space Theory

  • Basic idea for a tutoring system: Learning paths
    Prerequisite relationships between items can be utilized for adaptive assessment of knowledge.
  • There exists a correspondence between surmise relations and knowledge spaces , i.e. sets of knowledge states.
  • Given a knowledge space, all possible learning paths can be identified.

 


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