AlgoLC: A Learning Companion System for Teaching and Learning Algorithms

  • Patrícia Gerent Petry
  • Marta Costa Rosatelli
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4053)


Learning algorithms involves translating sequences of simple steps that have complex results into instructions that can be followed by a computer. To accomplish this, the students have to develop skills of logical reasoning and algorithmic problem solving. This paper presents AlgoLC, a Learning Companion System that supports teaching and learning algorithms. Teaching is facilitated as the system provides the teacher with elements to better identify the students’ doubts and errors. Learning is facilitated by the learning companion as it provides support to the student identify and correct his or her own mistakes.


Learn Algorithm Domain Model Logical Reasoning Complex Result Intelligent Tutor System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Chan, T.W., Baskin, A.B.: Learning Companion Systems. In: Frasson, C., Gauthier, G. (eds.) Intelligent Tutoring Systems: At the Crossroads of Artificial Intelligence and Education. Ablex Publishing, New Jersey (1990)Google Scholar
  2. 2.
    Mitrovic, A., Ohlsson, S.: Evaluation of a Constraint-Based Tutor for a Database Language. Intl. Journal of Artificial Intelligence in Education 10, 238–256 (1999)Google Scholar
  3. 3.
    Ohlsson, S.: Constraint-based Student Modeling. In: Greer, J., McCalla, G. (eds.) Student Modelling: The Key to Individualized Knowledge-Based Instruction, pp. 167–189. Springer, Heidelberg (1994)Google Scholar
  4. 4.
    Holt, P., Dubs, S., Jones, M., Greer, J.: The State of Student Modelling. In: Greer, J., McCalla, G. (eds.) Student Modelling: The Key to Individualized Knowledge-Based Instruction, pp. 3–35. Springer, Heidelberg (1994)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Patrícia Gerent Petry
    • 1
  • Marta Costa Rosatelli
    • 2
  1. 1.Departamento de Informática e EstatísticaUniversidade Federal Santa Catarina, INE-CTCFlorianópolisBrazil
  2. 2.Programa de Pós-Graduação em InformáticaUniversidade Católica de SantosSantos-SPBrazil

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