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

• Published in: 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) pp. 423 - 430
• Main Authors: Kiyomitsu, Hidenari, Martinez Calderon, Dick, Ohtsuki, Kazuhiro, Yi Sun, Samura, Toshiharu, Hirabayashi, Masami, Miyamoto, Yukinobu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2018
• Subjects: Australia; computer science education; Conferences; Education; graphic design; IEC Standards; programming training; software engineering
• ISSN: 2470-6698
• DOI: 10.1109/TALE.2018.8615401

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.