CodeMaster - Automatic Assessment and Grading of App Inventor and Snap! Programs

The development of computational thinking is a major topic in K-12 education. Many of these experiences focus on teaching programming using block-based languages. As part of these activities, it is important for students to receive feedback on their assignments. Yet, in practice it may be difficult...

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Veröffentlicht in:Informatics in education Jg. 17; H. 1; S. 117 - 150
Hauptverfasser: Wangenheim, Christiane Gresse von, Hauck, Jean Carlo Rossa, Demetrio, Matheus Faustino, Pelle, Rafael, Cruz Alves, Nathalia da, Barbosa, Heliziane, Azevedo, Luiz Felipe
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Vilnius Vilniaus Universiteto Leidykla 01.01.2018
Vilnius University Press
Institute of Mathematics and Informatics
Vilnius University Institute of Mathematics and Informatics, Lithuanian Academy of Sciences
Vilnius University
Schlagworte:
app inventor
Applications programs
assessment
Automation
Competence
Computation
Computational Thinking
Computer Assisted Testing
Computer Oriented Programs
Computer Science
Computer Software
Course Content
Courseware
Educational Assessment
Educational Technology
Electronic Learning
Elementary Secondary Education
Evaluation
Evaluative Thinking
Feedback
Foreign Countries
Grading
ICT Information and Communications Technologies
Information Science
Languages
Learning Activities
Learning environment
Learning Processes
Outcome Measures
Performance Based Assessment
Pretesting
Problem Based Learning
Problem Solving
Program Evaluation
Programming
Programming Languages
Questionnaires
Scoring Rubrics
Snap
Social Sciences
Software
Static code analysis
Students
Summative Evaluation
Syntax
Teachers
Teaching
Units of Study
Usability
World Problems
Brazil
computational thinking
app inventor
assessment
grading
Snap
programming
ISSN:1648-5831, 2335-8971
Online-Zugang:Volltext
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Zusammenfassung:The development of computational thinking is a major topic in K-12 education. Many of these experiences focus on teaching programming using block-based languages. As part of these activities, it is important for students to receive feedback on their assignments. Yet, in practice it may be difficult to provide personalized, objective and consistent feedback. In this context, automatic assessment and grading has become important. While there exist diverse graders for text-based languages, support for block-based programming languages is still scarce. This article presents CodeMaster, a free web application that in a problem-based learning context allows to automatically assess and grade projects programmed with App Inventor and Snap!. It uses a rubric measuring computational thinking based on a static code analysis. Students can use the tool to get feedback to encourage them to improve their programming competencies. It can also be used by teachers for assessing whole classes easing their workload.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1648-5831
2335-8971
DOI:10.15388/infedu.2018.08