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Learning to program: from problems to code

Piwek, Paul; Wermelinger, Michel; Laney, Robin and Walker, Richard (2019). Learning to program: from problems to code. In: Third Conference in Computing Education Practice (CEP), 9 Jan 2019, Durham, UK, Association for Computing Machinery (ACM).

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DOI (Digital Object Identifier) Link: https://doi.org/10.1145/3294016.3294024
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Abstract

This paper introduces the approach to teaching problem-solving and text-based programming that has been adopted in a large, post-18, undergraduate, key introductory module (L4 FHEQ) on Computing and Information Technology at the Open University (UK). We describe how students are equipped with programming, but foremost problem-solving skills. Key ingredients of the approach are interleaving of skills, explicit worked examples of decomposition, formulation of algorithms (with the help of patterns for recurring problems) and translation to code. Preliminary results are encouraging: students’ average course work scores increase as they progress through the course.

Item Type: Conference or Workshop Item
Copyright Holders: 2018 ACM
Project Funding Details:
Funded Project NameProject IDFunding Body
Institute of CodingNot SetOffice for Students
Keywords: Problem solving, Python, programming, patterns, algorithms, problem decomposition, Education, Distance Learning, E-Learning
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 58202
Depositing User: Paul Piwek
Date Deposited: 17 Dec 2018 16:24
Last Modified: 02 May 2019 15:50
URI: http://oro.open.ac.uk/id/eprint/58202
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