Enhancing programming logic and algorithmic understandability for students visually using raptor

Author

Paul, Sujni

Source

al-Dar Research Journal for Sustainability

Issue

Vol. 2, Issue 1 (30 Nov. 2017)10 p.

Publisher

al-Dar University College

Publication Date

2017-11-30

Country of Publication

United Arab Emirates

No. of Pages

10

Main Subjects

Mathematics

Topics

Abstract EN

This research paper helps students to visually understand and develop algorithms easily using Raptor.

Usually students find very difficult in dealing with the syntax rather than solving the problem.

Raptor is a visual programming environment, designed specifically to help students understand the algorithm and avoid syntactic baggage.

These raptor programs are created visually and can be executed by tracing it visually.

Raptor allows students to create a program with less syntax from any programming language.

We can demonstrate concepts like functions, if, and loop constructs.

Students will find it more easy and interesting using flowcharts to interpret their algorithms more successfully.

The results indicate that the efficiency of using raptor can be improved by indulging this into the student’s curriculum and teaching them programming and algorithm writing with raptors.

American Psychological Association (APA)

Paul, Sujni. 2017. Enhancing programming logic and algorithmic understandability for students visually using raptor. al-Dar Research Journal for Sustainability،Vol. 2, no. 1.
https://search.emarefa.net/detail/BIM-766158

Modern Language Association (MLA)

Paul, Sujni. Enhancing programming logic and algorithmic understandability for students visually using raptor. al-Dar Research Journal for Sustainability Vol. 2, no. 1 (Nov. 2017).
https://search.emarefa.net/detail/BIM-766158

American Medical Association (AMA)

Paul, Sujni. Enhancing programming logic and algorithmic understandability for students visually using raptor. al-Dar Research Journal for Sustainability. 2017. Vol. 2, no. 1.
https://search.emarefa.net/detail/BIM-766158

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-766158