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Measurement range increment in a method for evaluating Panoramic Understanding of Programming | IEEE Conference Publication | IEEE Xplore

Measurement range increment in a method for evaluating Panoramic Understanding of Programming


Abstract:

In a prior study we introduced the Programmed Visual Contents Comparison Method (PVCC) for assessment of programming abilities related with Panoramic Understanding of Pro...Show More

Abstract:

In a prior study we introduced the Programmed Visual Contents Comparison Method (PVCC) for assessment of programming abilities related with Panoramic Understanding of Programming (PUP). With this method, by comparing two or more output pictures produced by programming samples (a question), a student must decide which one of the programs producing them is more difficult to build with programming, or, if the difficulty is similar for all of them. This study reported also the results of a test to evaluate this method's validity performed with groups of students of diverse fields. Validity was verified by comparing the initial programming ability reported by programming professors of these groups with the test results; this confirmed that the PVCC method worked well to find programming abilities related with PUP. In this paper we propose an enhancement to the PVCC Method based on the preparation of New Questions where two or more samples displaying both input data and output pictures are shown. By adding input data to output pictures and focus strictly on the programming processes needed to obtain these pictures from the provided input data, we aim to broaden the range of discernible programming abilities related with PUP. The results of a test performed to verify the suitability of New Questions performed with professors of programming is also reported.
Date of Conference: 12-15 October 2016
Date Added to IEEE Xplore: 01 December 2016
ISBN Information:
Conference Location: Erie, PA, USA
Citations are not available for this document.

I. Introduction

During the last two decades, software development has changed drastically, more and more people not involved in professional software development have become able to do programming by using new resources [1], for example: code samples and tutorials used through copy-pasting; simplified libraries, and several visual software development tools and languages, where the programming code is hidden and it can be applied with just a click. As a concrete example of these changes we must refer to the inclusion of a significant number of disciplines previously considered non-related with computing, into curriculum guidelines [2].

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Cites in Papers - IEEE (3)

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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.
3.
Hidenari Kiyomitsu, Dick Martinez Calderon, Kazuhiro Ohtsuki, Yi Sun, Toshiharu Samura, Masami Hirabayashi, Yukinobu Miyamoto, "An Approach for Evaluating IT Employees' Programming Ability Using the Programed Visual Contents Comparison Method", 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), pp.423-430, 2018.
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References

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