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Teaching programming using eduScrum methodology

Authors: Patrik Vostinár;

Teaching programming using eduScrum methodology

Abstract

There are a large number of professions in the world today. Some professions are disappearing, and some new ones are emerging. However, they all have something in common: the need to manage them. Throughout its history, humanity has developed several constantly changing forms of management. For this reason, school absolvents must enter the labour market with skills already sufficiently developed, such as communication, cooperation, teamwork, responsibility, and the ability to plan their work. The article focuses on the issue of teaching programming through mobile applications and basic robotics through the innovative form of teaching-EduScrum. The EduScrum methodology is based on the agile software development method Scrum, which develops soft skills. The article describes our experience with this teaching in computer science classes. We established several hypotheses evaluated using descriptive statistics on a sample of 251 students. The main objective of the research is to verify whether teaching computer science in primary and secondary schools using the eduScrum methodology is more suitable than the classical-frontal teaching of computer science. The research showed that secondary school students preferred the eduScrum methodology more than traditional frontal teaching and the primary school students preferred traditional frontal teaching.

Country
Slovakia
Keywords

agile methods, Teaching programming, QA75.5-76.95, agilné metódy, eduScrum, Computer Education, výučba programovania, EduScrum, Electronic computers. Computer science, App inventor, Agile methods, vývoj aplikácií

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    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!
3
Top 10%
Top 10%
Average
Green
gold