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International e-Journal of Educational Studies
Article . 2019 . Peer-reviewed
Data sources: Crossref
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Student Ability for Learning Computer Programming Languages in Primary Schools

Authors: Karzan WAKIL; Shanaz KHDIR; Lava SABIR; Lezan NAWZAD;

Student Ability for Learning Computer Programming Languages in Primary Schools

Abstract

Computer Programming Languages (CPL) is known for its complexity and difficulty. It is believed to be hard to teach and to learn also many pupils and students in CPL courses have difficulties to master all required competencies and skills. At the introductory level of CPL, that problem is even more notable. There are different approaches to improve the dropout rate at CPL courses and to populate CPL. Recently, special visual environments for Visual Programming Language (VPL) are being used. Early research results show that VPL can be more efficient than classical textual programming, students can be more motivated, less bored and not burden with the syntax of CPL in hand, also Iraq as a new developing county especially in education and technology not study CPL in primary and high schools. In this study, we use visual basic for learning CPLs at 6th grade to 9th-grade primary schools in Iraq. We teach visual basic in four primary schools in Sulaimani city during a course and we test the students, the result of the test shows that the students have the ability to learn CPL by rating 71%, also the students enjoyed with learning CPL. Finally, the result of this paper helps us to adding CPL curriculum to primary schools as well as to high schools.

Keywords

Eğitim Üzerine Çalışmalar, Studies on Education, Learning programming;educational technology;computer programming languages

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Top 10%
Top 10%
gold