Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/135789
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Type: Conference paper
Title: Understanding wikipedia as a resource for opportunistic learning of computing concepts
Author: Robillard, M.P.
Treude, C.
Citation: Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, 2020, pp.72-78
Publisher: acm
Publisher Place: online
Issue Date: 2020
ISBN: 9781450367936
ISSN: 1942-647X
Conference Name: ACM Technical Symposium on Copmuter Science Education (SIGCSE) (11 Mar 2020 - 14 Mar 2020 : Portland, USA)
Statement of
Responsibility: 
Martin P. Robillard, Christoph Treude
Abstract: Posts on on-line forums where programmers look for information often include links to Wikipedia when it can be assumed the reader will not be familiar with the linked terms. A Wikipedia article will thus often be the first exposure to a new computing concept for a novice programmer. We conducted an exploratory study with 18 novice programmers by asking them to read a Wikipedia article on a common computing concept that was new to them, while using the think-aloud protocol.We performed a qualitative analysis of the session transcripts to better understand the experience of the novice programmer learning a new computing concept using Wikipedia. We elicited five themes that capture this experience: Concept Confusion, Need for Examples, New Terminology, Trivia Clutter, and Unfamiliar Notation. We conclude that Wikipedia is not well suited as a resource for the opportunistic learning of new computing concepts, and we recommend adapting information sharing practices in on-line programmer communities to better account for the learning needs of the users.
Keywords: self-regulated learning; Wikipedia; computing concepts
Rights: © 2020 Association for Computing Machinery. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org.
DOI: 10.1145/3328778.3366832
Grant ID: http://purl.org/au-research/grants/arc/DE180100153
Published version: https://dl.acm.org/doi/proceedings/10.1145/3328778
Appears in Collections:Computer Science publications

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