In the information systems field there are numerous programming languages that can be used in specifying the behavior of concurrent and distributed systems. In the literature it has been argued that a lack of pragmatic and semantic consideration decreases the effectiveness of such specifications. In other words, to simply understand the syntactic features of a programming language alone does not provide an adequate foundation for students, programmers and designers to learn or to create robust and efficient programs. As a result, this paper will present a fresh approach for both teaching and understanding programming languages. The approach presented in this paper uses semiotics as a theoretical lens for identifying the important issues that transcend syntax issues alone and creates an organized conceptual model that will force instructors to facilitate a deeper understanding of programming constructs to their students.
May, Jeffrey and Dhillon, Gurpeet
"Interpreting Beyond Syntactics: A Semiotic Learning Model for Computer Programming Languages,"
Journal of Information Systems Education: Vol. 20
Available at: https://aisel.aisnet.org/jise/vol20/iss4/5
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