Towards understanding the effective design of automated formative feedback for programming assignments

automated feedback for programming assignments has great potential in promoting just-in-time learning, but there has been little work investigating the design of feedback in this context. to investigate the impacts of different designs of automated feedback on student learning at a fine-grained leve...

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Veröffentlicht in:Computer science education Jg. 32; H. 1; S. 105 - 127
Hauptverfasser: Hao, Qiang, Smith IV, David H., Ding, Lu, Ko, Amy, Ottaway, Camille, Wilson, Jack, Arakawa, Kai H., Turcan, Alistair, Poehlman, Timothy, Greer, Tyler
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Norwood Routledge 02.01.2022
Taylor & Francis Ltd
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ISSN:0899-3408, 1744-5175
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Zusammenfassung:automated feedback for programming assignments has great potential in promoting just-in-time learning, but there has been little work investigating the design of feedback in this context. to investigate the impacts of different designs of automated feedback on student learning at a fine-grained level, and how students interacted with and perceived the feedback. a controlled quasi-experiment of 76 CS students, where students of each group received a different combination of three types of automated feedback for their programming assignments. feedback addressing the gap between expected and actual outputs is critical to effective learning; feedback lacking enough details may lead to system gaming behaviors. the design of feedback has substantial impacts on the efficacy of automated feedback for programming assignments; more research is needed to extend what is known about effective feedback design in this context.
Bibliographie:ObjectType-Article-1
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ISSN:0899-3408
1744-5175
DOI:10.1080/08993408.2020.1860408