RAPTOR: a visual programming environment for teaching algorithmic problem solving

@inproceedings{Carlisle2005RAPTORAV,
  title={RAPTOR: a visual programming environment for teaching algorithmic problem solving},
  author={Martin C. Carlisle and Terry A. Wilson and Jeffrey W. Humphries and Steven M. Hadfield},
  booktitle={SIGCSE},
  year={2005}
}
When students are learning to develop algorithms, they very often spend more time dealing with issues of syntax rather than solving the problem. Additionally, the textual nature of most programming environments works against the learning style of the majority of students. RAPTOR is a visual programming environment, designed specifically to help students envision their algorithms and avoid syntactic baggage. RAPTOR programs are created visually and can be executed visually by tracing the… CONTINUE READING
Highly Influential
This paper has highly influenced a number of papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 85 citations. REVIEW CITATIONS

6 Figures & Tables

Topics

Statistics

01020'05'06'07'08'09'10'11'12'13'14'15'16'17'18
Citations per Year

86 Citations

Semantic Scholar estimates that this publication has 86 citations based on the available data.

See our FAQ for additional information.