Discovery Model Based on Analogies for Teaching Computer Programming

Javier Alejandro Jiménez Toledo, César A. Collazos and Manuel Ortega
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Javier Alejandro Jiménez Toledo: Faculty of Engineering, Systems Engineering, CESMAG University, Pasto 520001, Colombia
César A. Collazos: System Department, Faculty of Electronic Engineering and Telecommunications, University of Cauca, Popayán 190001, Colombia
Manuel Ortega: Department of Technologies and Information Systems, Higher School of Informatics, Castilla-La Mancha University, 13001 Ciudad Real, Spain

Mathematics, 2021, vol. 9, issue 12, 1-21

Abstract: Teaching the fundamentals of computer programming in a first course (CS1) is a complex activity for the professor and is also a challenge for them. Nowadays, there are several teaching strategies for dealing with a CS1 at the university, one of which is the use of analogies to support the abstraction process that a student needs to carry for the appropriation of fundamental concepts. This article presents the results of applying a discovery model that allowed for the extraction of patterns, linguistic analysis, textual analytics, and linked data when using analogies for teaching the fundamental concepts of programming by professors in a CS1 in university programs that train software developers. For that reason, a discovery model based on machine learning and text mining was proposed using natural language processing techniques for semantic vector space modeling, distributional semantics, and the generation of synthetic data. The discovery process was carried out using nine supervised learning methods, three unsupervised learning methods, and one semi-supervised learning method involving linguistic analysis techniques, text analytics, and linked data. The main findings showed that professors include keywords, which are part of the technical computer terminology, in the form of verbs in the statement of the analogy and combine them in quantitative contexts with neutral or positive phrases, where numerical examples, cooking recipes, and games were the most used categories. Finally, a structure is proposed for the construction of analogies to teach programming concepts and this was validated by the professors and students.

Keywords: machine learning; modeling; programming; text analysis (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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