Automating next-step hints generation using ASTUS

Luc Paquette, Jean François Lebeau, Gabriel Beaulieu, André Mayers

Research output: Chapter in Book/Report/Conference proceedingConference contribution


ASTUS is an authoring framework designed to create model-tracing tutors with similar efforts to those needed to create Cognitive Tutors. Its knowledge representation system was designed to model the teacher's point of view of the task and to be manipulated by task independent processes such as the automatic generation of sophisticated pedagogical feedback. The first type of feedback we automated is instructions provided as next step hints. Whereas next step hints are classically authored by teachers and integrated in the model of the task, our framework automatically generates them from task independent templates. In this paper, we explain, using examples taken from a floating-point number conversion tutor, how our knowledge representation approach facilitates the generation of next-step hints. We then present experiments, conducted to validate our approach, showing that generated hints can be as efficient and appreciated as teacher authored ones.

Original languageEnglish (US)
Title of host publicationIntelligent Tutoring Systems - 11th International Conference, ITS 2012, Proceedings
Number of pages11
StatePublished - Jun 22 2012
Externally publishedYes
Event11th International Conference on Intelligent Tutoring Systems, ITS 2012 - Chania, Crete, Greece
Duration: Jun 14 2012Jun 18 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7315 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other11th International Conference on Intelligent Tutoring Systems, ITS 2012
CityChania, Crete


  • Hint generation
  • knowledge representation
  • model-tracing tutors

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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