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Constructivist Apprenticeship through Antagonistic Programming Activities

Constructivist Apprenticeship through Antagonistic Programming Activities
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Author(s): Alessio Gaspar (University of South Florida, Lakeland, USA), Sarah Langevin (University of South Florida, Lakeland, USA)and Naomi Boyer (University of South Florida, Lakeland, USA)
Copyright: 2009
Pages: 7
Source title: Encyclopedia of Information Science and Technology, Second Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-60566-026-4.ch115

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Abstract

Computer programming involves more than thinking of a design and typing the code to implement it. While coding, professional programmers are actively on the lookout for syntactical glitches, logic flaws, and potential interactions of their code with the rest of the project. Debugging and programming are therefore not to be seen (and taught) as two distinct skills, but rather as two intimately entwined cognitive processes. From this perspective, teaching programming requires instructors to also teach students how to read code rigorously and critically, how to reflect on its correctness appropriately, and how to identify errors and fix them. Recent studies indicate that those students who have difficulties in programming courses often end up coding without intention (Gaspar & Langevin, 2007). They search for solved exercises whose descriptions are similar to that of the new problem at hand, cut and paste their solutions, and randomly modify the code until it compiles and passes the instructor’s test harness. This behavior is further exacerbated by textbooks, which only require students to modify existing code, thus ignoring the creative side of programming. Breaking this cognitive pattern means engaging students in activities that develop their critical thinking along with their understanding of code and its meaning. This article discusses constructivist programming activities that can be used in undergraduate programming courses at both the introductory and intermediate levels in order to help students acquire the necessary skills to read, write, debug, and evaluate code for correctness. Our constructivist apprenticeship approach builds on earlier field-tested apprenticeship models of programming instruction that successfully address the learning barriers of the new generations of novice programmers. We go one step further by realigning such approaches to the genuine difficulty encountered by students in a given course, while also addressing some pedagogical shortcomings of the traditional apprenticeship instructional practice. This is achieved by introducing a strong pedagogical constructivist component at the instructional level through so called antagonistic programming activities (APA). We conclude with a manifesto for a new multidisciplinary research agenda that merges the perspectives on learning found in both the computing education and evolutionary computation research communities.

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