Quantifying Patterns and Programming Strategies in Block-Based Programming Environments

Pupils are often first exposed to programming in block-based programming environments like Scratch. Identifying and measuring the previous experience of students learning to program is a key to improve the teaching of programming. In this contribution, we outline an approach to measure and evaluate...

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Veröffentlicht in:Proceedings (IEEE/ACM International Conference on Software Engineering Companion. Online) S. 254 - 255
Hauptverfasser: Kesselbacher, Max, Bollin, Andreas
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.05.2019
Schlagworte:
block-based programming
Correlation
Education
learning analytics
Measurement
Programming environments
programming patterns
Programming profession
programming skills
Reactive power
ISSN:2574-1934
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Zusammenfassung:Pupils are often first exposed to programming in block-based programming environments like Scratch. Identifying and measuring the previous experience of students learning to program is a key to improve the teaching of programming. In this contribution, we outline an approach to measure and evaluate programming interactions with the block-based programming environment Scratch. First results, obtained with eight upper secondary school students, show that programming skills and patterns can be quantified with interaction metrics measured during program construction. The aim is a more fine-grained identification and assessment of programming skills.
ISSN:2574-1934
DOI:10.1109/ICSE-Companion.2019.00101