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Pre- and Post-survey of the Achievement Result of Novice Programming Learners - On the Basis of the Scores of Puzzle-Like Programming Game and Exams After Learning the Basic of Programming -

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Transactions on Engineering Technologies (IMECS 2018)

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Abstract

Some researches on programming education have reported that the aptitude for programming, which determines the achievement results after its learning, is strongly influenced by the learner’s previous ability. In this paper, we analyze the relationship between pre- and post-state of programming learning. Concretely, in order to estimate the pre-state of programming learning, we focus on puzzle-like programming game and discuss the learner’s ability based on its scores. The new contribution of this paper is to clarify whether the learner’s pre-state can be observed in the programming game. This paper takes up a puzzle-like programming game “Algologic” aiming to experience the concept of algorithmic thinking for inexperienced programming learners. This is a simple puzzle game aiming at solving a given task by automatically controlling a robot. This game player designs an autonomous robot by selecting some of the instruction blocks, arranging the blocks in an appropriate order, and giving them to the robot while considering the concept of algorithm. Before students learn the basic of programming, we conducted a test to determine whether algorithms each student gave to the robot were correct or not by utilizing Algologic. Likewise, after students have learned the basic of programming, we conducted a comprehension test to clarify the reachability. This paper reports the investigation result of the relationship between the comprehension of Algologic and the achievement result after learning programming. Analysis results revealed that the results of Algologic test and the achievement results after learning programming were significantly in a positive relationship.

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Notes

  1. 1.

    http://www.businessinsider.com/15-free-games-that-will-help-you-learn-how-to-code-2017-4/.

  2. 2.

    https://github.com/xDNCL/oPEN.

  3. 3.

    https://hourofcode.com/us.

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Acknowledgements

This work was partly supported by Japan Society for the Promotion of Science, KAKENHI Grant-in-Aid for Scientific Research(C), No.16K01147 and No.17K01164.

Author information

Authors and Affiliations

  1. Faculty of Applied Information Science, Hiroshima Institute of Technology, 2-1-1 Miyake, Saeki-ku, Hiroshima, 731-5193, Japan

    Tomoya Iwamoto, Shimpei Matsumoto & Shuichi Yamagishi

  2. Faculty of Engineering, Kindai University, 1 Takaya Umenobe, Higashi-Hiroshima, Hiroshima, 739-2116, Japan

    Tomoko Kashima

Authors
  1. Tomoya Iwamoto
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  2. Shimpei Matsumoto
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  3. Shuichi Yamagishi
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  4. Tomoko Kashima
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Corresponding author

Correspondence to Shimpei Matsumoto .

Editor information

Editors and Affiliations

  1. International Association of Engineers, Hong Kong, Hong Kong

    Sio-Iong Ao

  2. Department of Computer and Communication, Dae Gu Catholic University, Daegu, Korea (Republic of)

    Haeng Kon Kim

  3. Graduate Division, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

  4. Department of SEEM, City University of Hong Kong, Kowloon, Hong Kong

    Alan Hoi-shou Chan

  5. Department of Industrial Engineering and Management, Kanagawa University, Yokohama, Japan

    Hideki Katagiri

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Iwamoto, T., Matsumoto, S., Yamagishi, S., Kashima, T. (2020). Pre- and Post-survey of the Achievement Result of Novice Programming Learners - On the Basis of the Scores of Puzzle-Like Programming Game and Exams After Learning the Basic of Programming -. In: Ao, SI., Kim, H., Castillo, O., Chan, As., Katagiri, H. (eds) Transactions on Engineering Technologies. IMECS 2018. Springer, Singapore. https://doi.org/10.1007/978-981-32-9808-8_11

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