An Exploration of Error Quotient in Multiple Contexts

Andrew Petersen, Jaime Spacco, Arto Vihavainen

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review

Sammanfattning

Data-driven metrics based on students' progress, code or behaviour are touted as a pathway to revolutionizing education. Even simple heuristics, like the recurrence of the same error in subsequent compilations, have the potential to identify students in difficulty, leading to targeted interventions, alterations in teaching, and improved counseling. However, although more complex and effective metrics have been explored in the literature, they have largely been developed and validated in narrow contexts.

In this work, we investigate the application of the Error Quotient (EQ), a metric based on debugging of syntax errors, in a varied set of contexts, including courses taught in C, Java, and Python and courses that use sets of short, online exercises. We perform an exploration of the EQ parameters to determine the EQ algorithm's sensitivity to its context and identify factors in our contexts that have an impact on the process students use to generate code.
Originalspråkengelska
Titel på gästpublikationProceedings of the 15th Koli Calling Conference on Computing Education Research
Antal sidor10
UtgivningsortNew York
FörlagACM
Utgivningsdatum19 nov 2015
Sidor77-86
ISBN (elektroniskt)978-1-4503-4020-5
DOI
StatusPublicerad - 19 nov 2015
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangKoli Calling International Conference on Computing Education Research - Lieksa, Förenta Staterna (USA)
Varaktighet: 19 nov 201522 nov 2015
Konferensnummer: 15

Publikationsserier

NamnKoli Calling '15
FörlagACM

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  • 113 Data- och informationsvetenskap

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