Value trace problems with assisting references for Python programming self-study

San Hay Mar Hay Mar Shwe; Nobuo Funabiki; Yan Watequlis Syaifudin; Phyu Phyu Tar; Htoo Htoo Sandi Kyaw; Hnin Aye Thant; Wen Chung Kao; Nandar Win Min; Thandar Myint; Ei Ei Htet

doi:10.1108/IJWIS-03-2021-0025

Value trace problems with assisting references for Python programming self-study

San Hay Mar Hay Mar Shwe^*, Nobuo Funabiki, Yan Watequlis Syaifudin, Phyu Phyu Tar, Htoo Htoo Sandi Kyaw, Hnin Aye Thant, Wen Chung Kao, Nandar Win Min, Thandar Myint, Ei Ei Htet

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

Purpose: This study aims to present the value trace problem (VTP) for Python programming self-study, by extending the works for Java programming learning assistant system. In total, 130 VTP instances are generated using Python codes in textbooks and websites that cover basic/advanced grammar topics, fundamental data structures and algorithms and two common library usages. Besides, assisting references on Python programming topics related to the VTP instances are introduced to assist novice learners in solving them efficiently. Design/methodology/approach: PyPLAS offers the VTP to study grammar topics and library usage through code reading. A VTP instance asks a learner to trace the actual values of important variables or output messages in the given source code. The correctness of any answer is checked through string matching. Findings: The applications to 48 undergraduate students in Myanmar and Indonesia confirm the validity of the proposal in Python programming self-studies by novice learners. Originality/value: The applications to 48 undergraduate students in Myanmar and Indonesia confirm the validity of the proposal in Python programming self-studies by novice learners.

Original language	English
Pages (from-to)	287-299
Number of pages	13
Journal	International Journal of Web Information Systems
Volume	17
Issue number	4
DOIs	https://doi.org/10.1108/IJWIS-03-2021-0025
Publication status	Published - 2021

Keywords

Coding reading
Grammar concepts
Library usage
NumPy
Offline answering function
Pandas
Python programming
Value trace problem

ASJC Scopus subject areas

Information Systems
Computer Networks and Communications

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10.1108/IJWIS-03-2021-0025

Cite this

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title = "Value trace problems with assisting references for Python programming self-study",

abstract = "Purpose: This study aims to present the value trace problem (VTP) for Python programming self-study, by extending the works for Java programming learning assistant system. In total, 130 VTP instances are generated using Python codes in textbooks and websites that cover basic/advanced grammar topics, fundamental data structures and algorithms and two common library usages. Besides, assisting references on Python programming topics related to the VTP instances are introduced to assist novice learners in solving them efficiently. Design/methodology/approach: PyPLAS offers the VTP to study grammar topics and library usage through code reading. A VTP instance asks a learner to trace the actual values of important variables or output messages in the given source code. The correctness of any answer is checked through string matching. Findings: The applications to 48 undergraduate students in Myanmar and Indonesia confirm the validity of the proposal in Python programming self-studies by novice learners. Originality/value: The applications to 48 undergraduate students in Myanmar and Indonesia confirm the validity of the proposal in Python programming self-studies by novice learners.",

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author = "{Hay Mar Shwe}, {San Hay Mar} and Nobuo Funabiki and Syaifudin, {Yan Watequlis} and Tar, {Phyu Phyu} and Kyaw, {Htoo Htoo Sandi} and Thant, {Hnin Aye} and Kao, {Wen Chung} and Min, {Nandar Win} and Thandar Myint and Htet, {Ei Ei}",

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year = "2021",

doi = "10.1108/IJWIS-03-2021-0025",

language = "English",

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AU - Funabiki, Nobuo

AU - Syaifudin, Yan Watequlis

AU - Tar, Phyu Phyu

AU - Kyaw, Htoo Htoo Sandi

AU - Thant, Hnin Aye

AU - Kao, Wen Chung

AU - Min, Nandar Win

AU - Myint, Thandar

AU - Htet, Ei Ei

PY - 2021

Y1 - 2021

N2 - Purpose: This study aims to present the value trace problem (VTP) for Python programming self-study, by extending the works for Java programming learning assistant system. In total, 130 VTP instances are generated using Python codes in textbooks and websites that cover basic/advanced grammar topics, fundamental data structures and algorithms and two common library usages. Besides, assisting references on Python programming topics related to the VTP instances are introduced to assist novice learners in solving them efficiently. Design/methodology/approach: PyPLAS offers the VTP to study grammar topics and library usage through code reading. A VTP instance asks a learner to trace the actual values of important variables or output messages in the given source code. The correctness of any answer is checked through string matching. Findings: The applications to 48 undergraduate students in Myanmar and Indonesia confirm the validity of the proposal in Python programming self-studies by novice learners. Originality/value: The applications to 48 undergraduate students in Myanmar and Indonesia confirm the validity of the proposal in Python programming self-studies by novice learners.

AB - Purpose: This study aims to present the value trace problem (VTP) for Python programming self-study, by extending the works for Java programming learning assistant system. In total, 130 VTP instances are generated using Python codes in textbooks and websites that cover basic/advanced grammar topics, fundamental data structures and algorithms and two common library usages. Besides, assisting references on Python programming topics related to the VTP instances are introduced to assist novice learners in solving them efficiently. Design/methodology/approach: PyPLAS offers the VTP to study grammar topics and library usage through code reading. A VTP instance asks a learner to trace the actual values of important variables or output messages in the given source code. The correctness of any answer is checked through string matching. Findings: The applications to 48 undergraduate students in Myanmar and Indonesia confirm the validity of the proposal in Python programming self-studies by novice learners. Originality/value: The applications to 48 undergraduate students in Myanmar and Indonesia confirm the validity of the proposal in Python programming self-studies by novice learners.

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Value trace problems with assisting references for Python programming self-study

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Keywords

ASJC Scopus subject areas

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