Abstract
Historical relics are an essential carrier of historical education, providing evidence for historical facts. There are many historical relics from modern history that still exist today, but they are distributed in different regions, making it costly to visit them personally. Through VR technology, historical relics can be viewed without having to be physically present, and VR is widely used in VR historical patriotic education. Although many historical relics have VR recordings, they only provide a 360° physical space restoration. Matching animation scenes to 360° panoramic photos can integrate animated scenes into real space, presenting a more intuitive, vivid, and immersive reproduction of historical events. In this study, a representative scene from the “Pursuing the Long March Memories” of the Communist Youth League Central Committee’s “Panoramic VR Animation Re-enactment” was selected, and four groups of 360° panoramic VR photo scenes were matched. Through Emotiv Epoc X monitoring of the viewer’s brain waves of θ waves, α waves, and β waves. Exploring the cognitive effects of the “panoramic VR fusion animation” learning model on learning in history education under the multimodal learning theory. It was found that when viewers watched panoramic films with animation effects, their brainwave data showed a more active state. This could better stimulate thinking, focus attention, and reduce fatigue, indicating the feasibility of using panoramic VR with animated re-enactment integration for learning and cognitive effects in history. This research extends and enriches the model of multimodal learning in VR.
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References
Tang, S.F.: Innovative path study on the integration of tourism, science and technology and education based on “Princess Wencheng’s historical and cultural resources.” Tibet Sci. Technol. 02, 32–35 (2023). (in Chinese)
Zhang, Y.: The Significance of historical sites as carriers of historical education. J. Cult. Tour. Res. 14(2), 56–64 (2021)
Mudička, Š., Kello, J.: Augmented reality in the dynamic world of virtual tourism. IOP Conf. Ser. Earth Environ. Sci. (1) (2021). https://doi.org/10.1088/1755-1315/942/1/012031
Zhao, W., Su, L., Dou, F.: Designing virtual reality based 3D modeling and interaction technologies for museums. Heliyon (6) (2023). https://doi.org/10.1016/J.HELIYON.2023.E16486
Li, H.: The Application of VR technology in historical site visits. Int. J. Virtual Real. Augment. Real. 3(2), 45–56 (2019)
Ke, H.: Virtual reality technology for historical site learning: a review. Educ. Technol. Res. Dev. 68(5), 2386–2408 (2020)
Wang, J.: The limitations of VR technology in historical site learning: a critique. Int. J. Emerg. Technol. Learn. 16(3), 277–289 (2021)
Mou, Z.J.: Multimodal learning analytics: a new growth point for learning analytics research. Res. Electrochem. Educ. (05), 27–32+51 (2020). (in Chinese). https://doi.org/10.13811/j.cnki.eer.2020.05.004
Li, Y.: The application of match mover technology in VR historical site learning. J. Educ. Technol. Dev. Exch. 11(2), 23–30 (2018)
Song, Y., Yang, L., Zhang, X., Tang, Y.: Using 360-degree virtual reality technology to provide interactive historical exhibitions. Int. J. Emerg. Technol. Learn. 15(22), 4–16 (2020)
Yu, Z., Li, P., Wang, X.: A teaching design model based on 360-degree virtual reality technology for improving historical education. Educ. Technol. Res. Dev. 66(6), 1579–1594 (2018)
Swafford, J., Drechsler, M.: Protecting cultural heritage: utilizing virtual reality to enhance cultural resource management. J. Archaeol. Sci. Rep. 12, 292–301 (2017)
Jang, Y., Kim, Y.: Virtual reality in art education: a case study of the Borgia apartment in the Vatican. J. Educ. Technol. Soc. 21(3), 119–130 (2018)
Morris, R., Bell, F., Cohen, J.: Using 360-degree video to support history teaching: a case study. Educ. Media Int. 56(2), 112–126 (2019)
Baltrusaitis, T., Ahuja, C., Morency, L.P.: Multimodal machine learning: a survey and taxonomy. IEEE Trans. Pattern Anal. Mach. Intell. PP(99), 1 (2017)
Di Mitri, D., Schneider, J., Specht, M., Drachsler, H.: From signals to knowledge: a conceptual model for multimodal learning analytics. J. Comput. Assist. Learn. 34(4), 338–349 (2018)
Wang, H.: Red spirit inheritance from Luding Bridge. Talent 14, 13–15 (2021). (in Chinese)
Meng, D.-F., Yu, Y.-X.: Research on the types of red cultural resources and their protection in Sidu Chishui. In: Imago Wenchuang, no. 11, pp. 107–110 (2022). (in Chinese). https://doi.org/10.20024/j.cnki.cn42-1911/i.2022.11.034
Xinyuan, W.: The Red Army’s Long March on the way through snowy mountains and grasslands for ideal belief education. J. Party Sch. CPC Shijiazhuang Munic. Comm. 07, 28–31 (2016). (in Chinese). https://doi.org/10.13736/j.cnki.zgsjzswdxxb.2016.0080
Guo, X.: Tracing the footprints of the Long March of the Red Army No. 6 Into Huining Huishi City. Lit. Hist. Mon. 12, 25–33 (2016). (in Chinese)
Sanei, S., Chambers, J.A. (eds.): EEG Signal Processing. Wiley, Hoboken (2013)
Addante, R.J., Mairy, Y., Rosemarie, V., Constance, G., Raechel, M.: Boosting brain waves improves memory. Front. Young Minds (2021). https://doi.org/10.3389/FRYM.2021.605677
Azhari, A., Susanto, A., Pranolo, A., Mao, Y.: Neural network classification of brainwave alpha signals in cognitive activities. Knowl. Eng. Data Sci. 2(2), 47 (2019)
Niedermeyer, E.: The average EEG of the waking adult. In: Electroencephalography: Basic Principles, Clinical Applications, and Related Fields, pp. 117–154 (1997)
Liu, M., Huang, D., Zhao, X.: Immersive virtual reality in history education: a comparative study of low-cost VR and high-end VR. Sustainability 11(17), 4761 (2019)
Liu, Q., Li, X.-J., Xie, K., Chang, Y.B., Zheng, X.X.: Development and prospects of empirical research on multimodal learning analytics. Res. Electrochem. Educ. (01), 71–78+85 (2022). (in Chinese). https://doi.org/10.13811/j.cnki.eer.2022.01.009
Yu, X., Zhu, Y.F.: Strategy of digital development of red history resources based on VR technology. J. Tianjin Sino-Ger. Univ. Appl. Sci. 03, 59–64 (2023). https://doi.org/10.16350/j.cnki.cn12-1442/g4.2023.03.013.(inChinese)
Barbatsis, K., Economou, D., Papamagkana, I., Loukas, D.: 3D environments with games characteristics for teaching history: the VRLerna case study. In: ACM International Conference on Design of Communication; SIGDOC 2011. Informatics Teacher Regional Directorate of Primary and Secondary Education of Central Macedonia Greece; School of Electronics and Computer Science University of Westminster W1W 6UW, United Kingdom; Department of History and Archaeology Aristotle University (2012)
Acknowledgments
The research was sponsored by The National Social Science Fund of China, project number: 21VSZ1242;
The New Liberal Arts Fund of the University of Science and Technology of China, project number: FSSF-A-230311;
The Center for Marxism and Contemporary Chinese Studies, University of Science and Technology of China, project number: 2021YJZX007YB;
The Institute of Party Building and Ideological and Political Work of the University of Science and Technology of China (2021–2022).
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Zhang, Y., Wang, K. (2023). The Application of “Panoramic VR Fusion Animation Reproduction” of Historical Sites in Modern History Education Under the Multimodal Learning Theory. In: De Paolis, L.T., Arpaia, P., Sacco, M. (eds) Extended Reality. XR Salento 2023. Lecture Notes in Computer Science, vol 14219. Springer, Cham. https://doi.org/10.1007/978-3-031-43404-4_21
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