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  5. Novice Programmers and the Problem Description Effect
 
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Novice Programmers and the Problem Description Effect

Author(s)
Bouvier, Dennis  
Lovelette, Ellie  
Matta, John  
Becker, Brett A.  
et al.  
Uri
http://hdl.handle.net/10197/9085
Date Issued
2016-07-13
Date Available
2017-12-11T18:26:08Z
Abstract
It is often debated whether a problem presented in a straightforward minimalist fashion is better, or worse, for learning than the same problem presented with a real-life or concrete context. The presentation, contextualization, or problem description has been well studied over several decades in disciplines such as mathematics education and psychology; however, little has been published in the field of computing education. In psychology it has been found that not only the presence of context, but the type of context can have dramatic results on problem success. In mathematics education it has been demonstrated that there are non-mathematical factors in problem presentation that can affect success in solving the problem and learning. The contextual background of a problem can also impact cognitive load, which should be considered when evaluating the effects of context. Further, it has been found that regarding cognitive load, computer science has unique characteristics compared to other disciplines, with the consequence that results from other disciplines may not apply to computer science, thus requiring investigation within computer science.
Type of Material
Conference Publication
Publisher
ACM
Start Page
103
End Page
118
Copyright (Published Version)
2016 ACM
Subjects

Context

Novice programmers

CS1

DOI
10.1145/3024906.3024912
Language
English
Status of Item
Peer reviewed
Journal
Proceedings of the 2016 ITiCSE Working Group Reports (ITiCSE '16)
Conference Details
Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education, Arequipa, Peru, July 09 - 13, 2016
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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bouvier2016novice_preprint.pdf

Size

385.77 KB

Format

Adobe PDF

Checksum (MD5)

9e46f48ba253348cd1702d30ead52252

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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