The advantages of data flow diagrams for beginning programming

  • K. S. R. Anjaneyulu
  • John R. Anderson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 608)


In this paper we describe DRLP (Dataflow Representation Language for Programming) a language that we have designed. DRLP is a concise and easy to use representation for novices learning programming. At the moment, DRLP is a visual isomorph of LISP. However we believe that some of ideas in DRLP could be extended to cover other languages. We describe an experiment that was conducted to determine whether DRLP has any effect on novices' programming performance. The results suggest that DRLP has advantages in that it avoids some of the obstacles of the LISP programming language but that many of the conceptual difficulties that students have are unaffected by the choice of a linear or graphical representation.


Output Node Input Node Intelligent Tutor System Data Flow Diagram Structure Editor 
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.
    J. R. Anderson, B. J. Reiser: The LISP Tutor. Byte, 10, 159–175, 1985.Google Scholar
  2. 2.
    J. R. Anderson, A. T. Corbett, B. J. Reiser: Essential LISP. Reading, MA: Addison-Wesley, 1987.Google Scholar
  3. 3.
    A. T. Corbett, J. R. Anderson: The effect of feedback control on learning to program with the Lisp Tutor. Twelfth Annual Conference of the Cognitive Science Society, 796–806. Cambridge, MA, 1990.Google Scholar
  4. 4.
    A. L. Davis, R. M. Keller: Data Flow Program Graphs. Computer, 26–41, 1982.Google Scholar
  5. 5.
    B. J. Reiser, R. Beekelaur, A. Tyle, D. Merrill: GIL: Scaffolding learning to program with reasoning-congruent representations. Proceedings of the 1991 International Conference on the Learning Sciences, 382–388, 1991.Google Scholar
  6. 6.
    B. J. Reiser, D. Y. Kimberg, M. C. Lovett, M. Ranney: Knowledge representation and explanation in GIL, an intelligent tutor for programming. In J. Larkin & R. Chabay, (Eds.), Computer Assisted Instruction and Intelligent Tutoring Systems: Shared Goals and Complementary Approach. Hillsdale, NJ: Erlbaum, 111–149, 1992.Google Scholar
  7. 7.
    S. Wight, W. Feurzeig, J. Richards: Pluribus: A visual programming environment for education and research. Proceedings of the IEEE Workshop on Languages for Automation, 122–128, 1988.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • K. S. R. Anjaneyulu
    • 1
  • John R. Anderson
    • 2
  1. 1.National Centre for Software TechnologyJuhu, BombayIndia
  2. 2.Department of PsychologyCarnegie Mellon UniversityPittsburghUSA

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