Analysis of Students' Peer Reviews to Crowdsourced Programming Assignments | Zendy

Nea Pirttinen | Zendy; Vilma Kangas | Zendy; Henrik Nygren | Zendy; Juho Lein | Zendy; Arto Hellas | Zendy

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Analysis of Students' Peer Reviews to Crowdsourced Programming Assignments

Author(s) -

Nea Pirttinen,

Vilma Kangas,

Henrik Nygren,

Juho Lein,

Arto Hellas

Publication year - 2018

Publication title -

helda (university of helsinki)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1145/3279720.3279741

Subject(s) - computer science , set (abstract data type) , code (set theory) , quality (philosophy) , mathematics education , multimedia , programming language , psychology , philosophy , epistemology

We have used a tool called CrowdSorcerer that allows students to create programming assignments. The students are given a topic by a teacher, after which the students design a programming assignment: the assignment description, the code template, a model solution and a set of input-output -tests. The created assignments are peer reviewed by other students on the course. We study students' peer reviews to these student-generated assignments, focusing on examining the differences between novice and experienced programmers. We then analyze whether the exercises created by experienced programmers are rated better quality-wise than those created by novices. Additionally, we investigate the differences between novices and experienced programmers as peer reviewers: can novices review assignments as well as experienced programmers?

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