Quantifying Patterns and Programming Strategies in Block-based Programming Environments

被引：3
|
作者：
Kesselbacher, Max [1 ]
Bollin, Andreas [1 ]
机构：
[1] Univ Klagenfurt, Dept Informat Didact, Klagenfurt, Austria
来源：
2019 IEEE/ACM 41ST INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: COMPANION PROCEEDINGS (ICSE-COMPANION 2019) | 2019年
关键词：
block-based programming; programming skills; programming patterns; learning analytics;
D O I：
10.1109/ICSE-Companion.2019.00101
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
引用
收藏
页码：254 / 255
页数：2
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