Abstract
The effectiveness of our “digital Diamond Mandala Matrix (dDMM)” application on a real-time online class is shown based on the results of analysis of output by students. The dDMM application which is something like a mind map limiting words to nine plus a description field for explaining the whole of the dDMM data. We can easily view several dDMMs at a glance for comparing them with each other, so it is highly suitable for an online class where only one screen can be shared. In order to improve the effect on students’ learning, the class was offered in an active learning style, so that it consists of pre-learning, a real-time online class with a lecture, and discussions based on the pre-learning using Zoom Meeting, and students’ re-thinking based on the online class as post-learning. Students input data into the dDMM application as pre-learning dDMMs before participating in the online class, and then join the class consisting of a lecture and discussions based on the pre-learning dDMMs. They input data into the dDMM application as post-learning dDMMs after the online class. In order to investigate the efficacy of the dDMM application on real-time online class, we compared them statistically using the text data analysing tool KH Coder pre-learning and post-learning dDMMs, which are outputs by students. From the results, we found that post-learning dDMMs are improved from post-learning dDMMs due to the lecture and discussions in the online class. Therefore, the dDMM application is an effective tool in real-time online courses. We will improve the application by adding functions such as automatic grouping for supporting collaborative learning, with multilingual support.
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References
Kobayashi, S., Emi, K., Yushita, H., Onishi, K., Tsuchimochi, G.H., Okamoto, T.: Development practice of multi-lingual flipped learning materials by instructional design using diamond Mandala Matrix. In: IPSJ Symposium Series 2019, pp. 283–286 (2019)
Higuchi, K., Komoda, N., Tamura, S., Ikkai, Y.: A support tool for composing social survey questionnaires by automatically summarizing questionnaires stored in data archives. WSEAS Trans. Inf. Sci. Appl. 4(2), 280–287 (2007)
Aoki, S., Sakka, K., Emi, K., Kobayashi, S., Okamoto, T.: Text data analysis on answers written in Japanese to free text questions obtained at astronomy lectures. In: Brinda, T., Passey, D., Keane, T. (eds.) OCCE 2020. IAICT, vol. 595, pp. 139–143. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-59847-1_15
Acknowledgements
This work was supported by JSPS KAKENHI (Grants-in-Aid for Scientific Research) Grant Numbers 16H03087 and 19H01724.
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Aoki, S., Kobayashi, S., Naraki, T., Okamoto, T. (2022). Analysis of Practical Examples of a Real-Time Online Class on Agriculture in Space, Using the Collaborative Learning Tool “Digital Diamond Mandala Matrix”. In: Passey, D., Leahy, D., Williams, L., Holvikivi, J., Ruohonen, M. (eds) Digital Transformation of Education and Learning - Past, Present and Future. OCCE 2021. IFIP Advances in Information and Communication Technology, vol 642. Springer, Cham. https://doi.org/10.1007/978-3-030-97986-7_18
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DOI: https://doi.org/10.1007/978-3-030-97986-7_18
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