Psychology of Programming

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Why should Psychologists learn programming?

You can always work on a captive pool of subjects i. The result is that we cannot paint a complete picture of the psychological issues involved with programming. We can, however, paint a picture that illuminates key issues that need to be addressed when trying to understand software development. This picture would contain many holes and include gray areas far short of a consensus view. The picture would be valuable, however, both to the developer of programming environments and to the psychology researcher.

In this paper, I will paint this picture based on a review of the literature. This picture is too complex to present in a single format.


Hence, I will provide several projections of this review, with each projection serving a different primary audience. The first projection is for the developer of programming environments. This projection consists of a series of design rules to be used when creating new programming environments. The second projection is for scientists interested in a consensus view of the cognitive models underlying the psychology of programming.

  • A brief review of the psychology of programming – Robert Goldstone.
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  • A brief review of the psychology of programming – Robert Goldstone.
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Finally, for the active researcher in this field, I provide an annotated bibliography of the literature related to the psychology of programming. But before we can launch into the review and its projections for different audiences, let's define our context and consider the field as a whole. Establishing the context for this discussion will occupy the rest of this chapter. The literature on the psychology of parallel programming is sparse.

Actually, it's essentially a null set. There is a dissertation that addresses the topic [Kann97], but the author himself described it as inconclusive and of little use. All I've been able to find is an unpublished report by Kann about his experiences with teaching concurrent programming with Ada [Kann98].

This report was interesting, but not really about the psychology of parallel programming. Programming in general, however, has been studied by psychologists for decades. If we assume that the results from the general case apply to parallel computing, then there is quite a bit of material for us to work with.

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Is this a reasonable assumption? I believe it is a reasonable assumption. The parallel programmer has to think in terms of multiple tasks executing simultaneously. This adds tremendous complexity. The parallel programmer, however, still has to understand a problem specification and design algorithms to meet its objectives. The parallel programmer has to design data structures and code that safely manipulates them.

Psychology of Programming: The Role of Creativity, Empathy and Systemizing

In short, much of what the programmer does is the same whether writing sequential or parallel programs. Hence, I believe it's a reasonable assumption that conclusions based on the study of programmers of traditional sequential computers can be applied to programming parallel computers. Gee, it would be great to have a nice, word summary of the field. It would provide so much context for the rest of this report. Maybe someday I will write it.

Dorset House Publishing - Excerpt from The Psychology of Computer Programming

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How Ideas from Human Psychology can help Programmers?

Institutional Subscription. Free Shipping Free global shipping No minimum order. Powered by. The aim of these lessons is to provide you with a foundational knowledge of programming and Python and an understanding of the use such technologies in psychology applications—and the capacity to implement such technologies yourself. A program is a set of instructions for a computer to perform a particular set of tasks—programming is the process of developing these instructions.

Here, we will be using a programming language called Python —a language that is very readable and quick to get up-and-running for new users. It is one of the most popular languages for computer programming, and is currently the most frequently taught language for introductory computer science students in the USA. Python is far from just a language that is useful for education, however.

It is used to run some of the most popular websites in the world, such as YouTube, Reddit, and Google Maps. It also has extensive roots in the scientific community, with comprehensive Python frameworks available for many disciplines.

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The main benefits of learning programming as a psychology student stem from its usefulness in conducting research and how it can develop cognitive skills:. To hear more about my rationale for teaching programming in psychology, you can watch a presentation I gave at PyCon Australia in

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