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An Approach for Evaluating IT Employees' Programming Ability Using the Programed Visual Contents Comparison Method | IEEE Conference Publication | IEEE Xplore

An Approach for Evaluating IT Employees' Programming Ability Using the Programed Visual Contents Comparison Method


Abstract:

This paper discusses the practical applicability of the Programmed Visual Contents Comparison Method (PVCC) to IT employees. The PVCC is an aptitude and ability test to e...Show More

Abstract:

This paper discusses the practical applicability of the Programmed Visual Contents Comparison Method (PVCC) to IT employees. The PVCC is an aptitude and ability test to evaluate programming ability related to the Panoramic Understanding of Programming (PUP). We perform two types of experiments. The first is an individual appraisal. Candidates who have different programming education and different job experiences undergo tests and provide feedback after seeing the correct answers and their explanations. The second type is collaborative learning. Several candidates view the same question and discuss the correct answer. Results demonstrate that the test adequately measures the ability of candidates. Moreover, the test can assess a person's aptitude for PUP through working in an IT company, even having never programed. Results also demonstrate that the test is suitable for both self-diagnosing and collaborative learning in IT companies, because candidates can take the tests in a lighthearted and fun manner.
Date of Conference: 04-07 December 2018
Date Added to IEEE Xplore: 17 January 2019
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Conference Location: Wollongong, NSW, Australia
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I. Introduction

Traditionally, paper tests and practical programming exercises have been used widely to evaluate learners' programming abilities. In recent years, there have been drastic changes in software development, new resources to make programming easier have been created, and an increasing number of people not involved in professional software development have become able to program. An abundance of code samples and tutorials are on the web and are used by copy-pasting. Numerous algorithms are continually being converted into libraries and made widely available, so finding the best-suited function within libraries has become an important task. Moreover, several visual software development tools and languages are being developed, where the programming code is hidden and it can be applied with “just a click”. Considering these circumstances, the main purpose of this research is to propose a method to evaluate programming skills related to programmers who lack formal training in computer science and software development. These persons may not be professional software developers, but instead are professionals in other disciplines. This method involves an alternative understanding of programming. We call this alternative understanding a Panoramic Understanding of Programming (PUP).

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Cites in Papers - IEEE (2)

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1.
Thanh Ha Nguyen, Hidenari Kiyomitsu, Yi Sun, Takeshi Nishida, Kazuhiro Ohtsuki, "Collaborative Learning in Programming Education with the Programmed Visual Contents Comparison Method", 2024 12th International Conference on Information and Education Technology (ICIET), pp.467-471, 2024.
2.
Hidenari Kiyomitsu, Ha Thanh Nguyen, Kazuhiro Ohtsuki, Dick Martinez Carderon, Shuai Shao, Kento Shigyo, "Question Authoring for Learning Programming Skills based on the Programmed Visual Content Comparison Method", 2019 IEEE International Conference on Engineering, Technology and Education (TALE), pp.1-6, 2019.
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