PV2P: Program Visualization and Pair Programming to improve students understanding of Python programming / Syahrul Affendi Abdul Rahman

Abdul Rahman, Syahrul Affendi (2023) PV2P: Program Visualization and Pair Programming to improve students understanding of Python programming / Syahrul Affendi Abdul Rahman. In: International Teaching Aid Competition 2023. Universiti Teknologi MARA, Kedah, pp. 122-129. ISBN 9789672948513

Abstract

The objective of this research was to enhance the understanding of Python programming among students. The research involved 71 students from two form 2 classes at MRSM Tun Ghazali Shafie who were studying Basics of Computer Science (ASK) subject. The data collection is conducted through observation, pre- and post-tests, and questionnaires. Previously, students encountered difficulties in creating accurate computer program flowcharts and generating program code from the given flowchart. The students also could not solve the complex computer programming problems on their own. The pretest analysis revealed a mean score of 67.9 percent. Researchers evaluated the students' learning and introduced Program Visualization and Pair Programming (PV2P) method to enhance their understanding of Python programming. As a result, the post-test scores showed an increase to 85.3 percent, and the students responded positively to the questionnaires. Thus, PV2P was successful in improving the students' understanding of Python programming.

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Item Type: Book Section
Creators:
Creators
Email / ID Num.
Abdul Rahman, Syahrul Affendi
syahrul.affendi@mara.gov.my
Subjects: L Education > LB Theory and practice of education > Learning. Learning strategies
L Education > LB Theory and practice of education > Learning ability
L Education > LB Theory and practice of education > Educational productivity
Divisions: Universiti Teknologi MARA, Kedah
Page Range: pp. 122-129
Keywords: Program visualization, pair programming, algorithms, collaborative, Python programming
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/83298
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