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Research on the Construction of Graphical Data Intelligence Education Driven by Digital Intelligence Integration

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HCI International 2022 - Late Breaking Papers. Interaction in New Media, Learning and Games (HCII 2022)

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Abstract

With the development and application of technologies such as 5G and big data artificial intelligence, humanity has entered the era of digital intelligence convergence (BD + AI), which has enabled the future of education and learning to move into a new era driven by graphical data. In the field of education, graphical data is intuitive, panoramic, interactive, intelligent, scalable and narrative, bringing effective experiential aspects to student learning, teacher teaching, learning assessment and teaching management. This paper discusses the application of digital intelligence to education and teaching with the help of its multi-technology fusion model, the research model of knowledge mapping, and the application of intelligent education as pictorial data that we can perceive and analyse, so that intelligent graphical data, data-driven, and data empowerment can provide better and more data experiences and services for teaching and learning in education.

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References

  1. Jinxing, W., Zhengliang, Q., Ganzi, P.: A comparative study on the development strategies of agricultural vocational education in mid-industrialization. Educ. Dev. Res. 21, 102–105 (2005)

    Google Scholar 

  2. Hongtao, Y., Xue, Y., Yanli, S.S.: Research on the teaching effect of desktop virtual experiment. Mod. Educ. Technol. (1), 115–118(2008)

    Google Scholar 

  3. Juhou, H., Rina, L., Xin, X., et al.: Design of learning evaluation index system based on immersive virtual reality system. Electrochem. Educ. Res. 39(3), 75–81 (2018)

    Google Scholar 

  4. Burdea, G., Coiffet, P.: Virtual Reality Technology, 2nd edn. John Wiley & Sons, New York (2003)

    Google Scholar 

  5. Kim, P.: Effects of 3D virtual reality of plate tectonics on fifth grade students’ achievement and attitude toward science. Interact. Learn. Environ. 14(1), 25–34 (2006)

    Article  Google Scholar 

  6. Smith, P.C., Hamilton, B.K.: The effects of virtual reality simulation as a teaching strategy for skills preparation in nursing students. Clin. Simul. Nurs. 11(1), 52–58 (2015)

    Article  Google Scholar 

  7. Juan, W., Yao, C.: A new form of resource construction:the connotation and design framework of virtual simulation resources. China’s e-Learn. 12, 91–96 (2016)

    Google Scholar 

  8. Li, Y., Wang, W., Shaochun, Z., Yuqing, F., Fan, F.: Research on wisdom-generating strategies in the smart classroom. Electrochem. Educ. Res. 38(1), 108–114 (2017)

    Google Scholar 

  9. Rong, R., Xianmin, Y., Yaohua, C., Qiujin, Z.: New development of educational management informatization: towards intelligent management. China’s Comput. Educ. (3), 30–37 (2014)

    Google Scholar 

  10. Chenglin, L.: Exploration of thinking teaching based on problem design-an example of information technology subject. Res. Electrochem. Educ. 35(3), 111–115 (2014)

    Google Scholar 

  11. Chongde, L., Weiping, H.: The theory and practice of thinking classroom teaching. J. Beijing Normal Univ. (Soc. Sci. Ed.) (1), 29–36 (2010)

    Google Scholar 

  12. Rumi, L.: A discussion on some theoretical issues of teaching models. Curric.-Mater.-Teach. Methods (4), 25–29 (1996)

    Google Scholar 

  13. Goetz, T., Frenzel, A.C., Pekrun, R., et al.: The domain specificity of academic emotional experiences. J. Exp. Educ. 75(1), 5–29 (2006)

    Article  Google Scholar 

  14. Park, B., Knoerzer, L., Plass, J.L., et al.: Emotional design and positive emotions in multimedia learning: an eyetracking study on the use of anthropomorphisms. Comput. Educ. 86(8), 30–42 (2015)

    Article  Google Scholar 

  15. Shaochun, Z., Zhuo, Z., Jialong, F., Xuemei, Z., Lan, Y.: How intelligent technology supports the construction of new classroom teaching models. China’s Electro-Chem. Educ. 421(02) (2022)

    Google Scholar 

  16. Li, Z., Zhou, D.D., Wang, Y.: The educational knowledge graph from the perspective of “artificial intelligence+”: connotation, technical framework and application research. J. Dist. Educ. 37(4), 42–53 (2019)

    Google Scholar 

  17. Plass, J.L., Heidig, S., Hayward, E.O., et al.: Emotional design in multimedia learning: effects of shape and color on affect and learning. Learn. Inst. 29, 128–140 (2014)

    Article  Google Scholar 

  18. Zhuo, Z., Yewei, T., Shaochun, Z., et al.: Research on the construction of educational knowledge graph model supported by artificial intelligence, pp. 22–32 (2012)

    Google Scholar 

  19. AL-JARF R.: A model for enhancing EFL freshman students’ vocabulary with mind-mapping software. Journal of teaching Englishfor specific and academic purposes,3(3):509–520(2016)

    Google Scholar 

  20. Juan, W.: Smart courses: conceptual content, structural model and design process. Modern Distance Education 3, 25–33 (2017)

    Google Scholar 

  21. Zongkai,Y. Bie,W. Xudong,Z.: Education informatization 2.0: a critical historical leap in a new era of information technology transforming education. Educational Research, 39(4): 16–22(2018)

    Google Scholar 

  22. Webb, M.E.: Pedagogical reasoning:issues and solutions for the teaching and learning of ICT in secondary schools. Educ. Inf. Technol. 7(3), 237–255 (2002)

    Article  Google Scholar 

  23. Masschelein, J., Simons, M.: Education in times of fast learning: the future of the school. Ethics Educ. 10(1), 84–95 (2015)

    Article  Google Scholar 

  24. Brom, C., Starkova, T., D’Mello, S.K.: How effective is emotional design? a meta-analysis on facial anthropomorphisms and pleasant colors during multimedia learning. Educ. Res. Rev. 25, 100–119 (2018)

    Article  Google Scholar 

  25. Sepasgozar, S.M.E.: Digital twin and web-based virtual gaming technologies for online education: a case of construction management and engineering. Appl. Sci. 10(13), 4678 (2020)

    Article  Google Scholar 

  26. Sullivan, J.V.: Learning and embodied cognition: a review and proposal. Psychol. Learn. Teach. 17(2), 128–143 (2018)

    Article  Google Scholar 

  27. Burdea, G., Richard, P., Coiffet, P.: Multimodal virtual reality: input-output devices, system integration, and human factors. Int. J. Hum.-Comput. Interact. 8(1), 5–24 (1996)

    Article  Google Scholar 

  28. Diemer, J., Alpers, G.W., Peperkorn, H.M., et al.: The impact of perception and presence on emotional reactions: a review of research in virtual reality. Front. Psychol. (6), 26 (2015)

    Google Scholar 

  29. Fast-Berglund, Å., Gong, L., Li, D.: Testing and validating extended reality (xR) technologies in manufacturing. Procedia Manuf. 25, 31–38 (2018)

    Article  Google Scholar 

  30. Hoffman, E.S.: Beyond the flipped classroom: redesigning a research methods course for E3 instruction. Contemp. Issues Educ. Res. 7(1), 51–59 (2014)

    Article  Google Scholar 

  31. Huang, H.M., Rauch, U., Liaw, S.S.: investigating learners’ attitudes toward virtual reality learning environments: based on a constructivist approach. Comput. Educ. 55(3), 1171–1182 (2010)

    Article  Google Scholar 

  32. Kim, C.M.: Using email to enable e3 (effective, efficient, and engaging) learning. Dist. Educ. 29(2), 187–198 (2008)

    Article  Google Scholar 

  33. Kim, S.Y.S., Prestopnik, N., Biocca, F.A.: Body in the interactive game: how interface embodiment affects physical activity and health behavior change. Comput. Hum. Behav. 36, 376–384 (2014)

    Article  Google Scholar 

  34. Stark, L., Malkmus, E., Stark, R., et al.: Learning-related emotions in multimedia learning: an application of control-value theory. Learn. Inst. 58, 42–52 (2018)

    Article  Google Scholar 

  35. Naeini, J., Duvall, E.: Dynamic assessment and the impact on English language learners’ reading comprehension performance. Lang. Test. Asia 2(2), 22–41 (2012)

    Article  Google Scholar 

  36. Brom, C., Dechterenko, F., Frollova, N., et al.: Enjoyment or involvement? affective-motivational mediation during learning from a complex computerized simulation. Comput. Educ. 114(11), 236–254 (2017)

    Article  Google Scholar 

  37. Mayer, R.E., Estrella, G.: Benefits of emotional design in multimedia instruction. Learn. Instr. 33, 12–18 (2014)

    Article  Google Scholar 

  38. Hulleman, C.S., Godes, O., Hendricks, B.L., et al.: Enhancing interest and performance with a utility value intervention. J. Educ. Psychol. 102(4), 880–895 (2010)

    Article  Google Scholar 

  39. Mills, C., D’mello, S.K., Kopp, K.: The influence of consequence value and text difficulty on affect, attention, and learning while reading instructional texts. Learn. Inst. 40, 9–20 (2015)

    Article  Google Scholar 

  40. Stark, L., Malkmus, E., Stark, R., et al.: Learning -related emotions in multimedia learning: an application of control-valuetheory. Learn. Inst. 58, 42–52 (2018)

    Article  Google Scholar 

  41. Pekrun, R., Goetz, T., Daniels, L.M., et al.: Boredom in achievement settings: exploring control-value antecedents and performance outcomes of a neglected emotion. J. Educ. Psychol. 102(3), 531–549 (2010)

    Article  Google Scholar 

  42. Paas, F.G.: Training strategies for attaining transfer of problem-solving skill in statistics: a cognitive-load approach. J. Educ. Psychol. 84(4), 429–434 (1992)

    Article  Google Scholar 

  43. Park, B.Flowerday, T.& Brunken, R.: Cognitive and affective effects of seductive details in multimedia learning. Computersin human behavior,44:267–278(2015)

    Google Scholar 

  44. Chae, B., Zhu, R.: Environmental disorder leads to self-regulatory failure. J. Cons. Res. 40(6), 1203–1218 (2014)

    Article  Google Scholar 

  45. Repetto, C., Cipresso, P., Riva, G.: Virtual action and real action have different impacts on comprehen-sion of concrete verbs. Front. Psychol. 6(176), 1–9 (2015)

    Google Scholar 

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Acknowledgement

Thanks:

The 13th Five-Year Plan for the Development of Philosophy and Social Sciences in Guangzhou, Project No. 2020GZGJ19.

Central Universities Project, Project No. BSQD201910.

Author information

Authors and Affiliations

  1. School of Design, South China University of Technology, Guangzhou, 510641, China

    Yali Chen

  2. School of Architecture, Hunan University, Changsha, 410082, China

    Zhenxi Gong

  3. School of Design South, China University of Technology, Guangzhou, 510006, People’s Republic of China

    Qiyan Xing

Authors
  1. Yali Chen
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  2. Zhenxi Gong
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  3. Qiyan Xing
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Corresponding author

Correspondence to Yali Chen .

Editor information

Editors and Affiliations

  1. Computer and Information Sciences, Towson University, Towson, MD, USA

    Gabriele Meiselwitz

  2. San Jose State University, San Jose, CA, USA

    Abbas Moallem

  3. Department of Multimedia and Graphic Arts, Cyprus University of Technology, Limassol, Cyprus

    Panayiotis Zaphiris

  4. Cyprus University of Technology, Limassol, Cyprus

    Andri Ioannou

  5. Soar Technology, Inc., Orlando, FL, USA

    Robert A. Sottilare

  6. MMS, Fraunhofer FKIE, Wachtberg, Nordrhein-Westfalen, Germany

    Jessica Schwarz

  7. DePaul University, Chicago, IL, USA

    Xiaowen Fang

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Chen, Y., Gong, Z., Xing, Q. (2022). Research on the Construction of Graphical Data Intelligence Education Driven by Digital Intelligence Integration. In: Meiselwitz, G., et al. HCI International 2022 - Late Breaking Papers. Interaction in New Media, Learning and Games. HCII 2022. Lecture Notes in Computer Science, vol 13517. Springer, Cham. https://doi.org/10.1007/978-3-031-22131-6_16

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  • DOI: https://doi.org/10.1007/978-3-031-22131-6_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-22130-9

  • Online ISBN: 978-3-031-22131-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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