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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| Vydáno v: | Computer science education Ročník 32; číslo 1; s. 105 - 127 |
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| Hlavní autoři: | , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Norwood
Routledge
02.01.2022
Taylor & Francis Ltd |
| Témata: | |
| ISSN: | 0899-3408, 1744-5175 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | 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. |
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| Bibliografie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 0899-3408 1744-5175 |
| DOI: | 10.1080/08993408.2020.1860408 |