Abstract
There are various difficulties encountered by learners during learning such as good or bad learning content, the difficulty level of the learning content, and the degree of learning proficiency. It is possible to detect these difficulties by measuring the browsing history, editing history, and biological information such as brain waves or eye-tracking information. In this paper, we aim to detect the learning state of each learner by measuring brain wave information during learning of visual programming using the Minecraft educational edition. Furthermore, the detected learning status is statistically correlated using the results of a questionnaire conducted after the experiment. The results show that the assessment of task difficulty by learners is more significantly affected by the experience with Minecraft than by the experience with programming.
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References
Giannitrapani, D.: The role of 13-HZ activity in mentation, The EEG of Mental Activities, pp. 149–152 (1988)
Uwano, H., Ishida, K., Matsuda, Y., Fukushima, S., Nakamichi, N., Ohira, M., Matsumoto, K., Okada, Y.: Evaluation of software usability using electroencephalogram - comparison of frequency component between different software versions. J. Hum. Interface Soc. 10(2), 233–242 (2008). (in Japanese)
Yoshida, K., Sakamoto, Y., Miyaji, I., Yamada, K.: Analysis comparison of brain waves at the learning status by simple electroencephalography. In: KES 2012. Proceedings, Knowledge-Based Intelligent Information and Engineering Systems, pp. 1817–1826 (2012)
Umezawa, K., Ishida, T., Saito, T., Nakazawa, M., Hirasawa, S.: A judgment method of difficulty of task for a learner using simple electroencephalograph. Information Processing Society of Japan (IPSJ) SIG Technical report (2016). (in Japanese)
Zorn, C., Wingrave, C., Charbonneau, E., LaViola Jr, J.J.: Exploring minecraft as a conduit for increasing interest in programming. In: The Procedings of the 8th International Conference on the Foundations of Digital Games, pp. 352–359 (2013)
Sun, D., Ouyang, F., Li, Y., Chen, H.: Exploring creativity, emotion and collaborative behavior in programming for two contrasting groups. In: The proceedings of International Conference on Computational Thinking Education, vol. 2020, pp. 36–37 (2020)
Šajben, J., Klimová, N., Lovászová, G.: Minecraft: education edition as a game-based learning in Slovakia. In: The proceedings of 12th annual International Conference on Education and New Learning Technologies, pp. 1–8 (2020)
Ando, N.: Programming adventures using Hana’s Minecraft, Microsoft (2017)
ThinkGear Serial Stream Guide. http://developer.neurosky.com/docs/doku.php?id=thinkgear_communications_protocol. Accessed 30 Dec 2020
Acknowledgment
Part of this research was carried out as part of the research project “Research on e-learning for next-generation” of the Waseda Research Institute for Science and Engineering, Waseda University. Part of this work was supported by JSPS KAKENHI Grant Numbers JP20K03082, JP19H01721, JP19K04914, and JP17K01101, and Special Account 1010000175806 of the NTT Comprehensive Agreement on Collaborative Research with the Waseda University Research Institute for Science and Engineering. Research leading to this paper was partially supported by the grant as a research working group “ICT and Education” of JASMIN.
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The experiments were approved by the Research Ethics Committee of Shonan Institute of Technology. We also received signatures from examinees and parents of the examinees concerning experiment participation.
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Umezawa, K., Nakazawa, M., Kobayashi, M., Ishii, Y., Nakano, M., Hirasawa, S. (2021). Evaluation of Difficulty During Visual Programming Learning Using a Simple Electroencephalograph and Minecraft Educational Edition. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Ramalho Correia, A.M. (eds) Trends and Applications in Information Systems and Technologies . WorldCIST 2021. Advances in Intelligent Systems and Computing, vol 1367. Springer, Cham. https://doi.org/10.1007/978-3-030-72660-7_4
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DOI: https://doi.org/10.1007/978-3-030-72660-7_4
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