Research on the Strategy of Using Data Visualization Technology to Enhance the Effect of Ideological and Political Education of Students in Colleges and Universities

[1] Gandhi, P., & Pruthi, J. (2020). Data visualization techniques: traditional data to big data. Data Visualization: Trends and Challenges Toward Multidisciplinary Perception, 53-74. GandhiP. & PruthiJ. (2020). Data visualization techniques: traditional data to big data. Data Visualization: Trends and Challenges Toward Multidisciplinary Perception, 53-74.Search in Google Scholar

[2] Po, L., Bikakis, N., Desimoni, F., & Papastefanatos, G. (2020). Linked data visualization: techniques, tools, and big data. Morgan & Claypool Publishers. PoL.BikakisN.DesimoniF. & PapastefanatosG. (2020). Linked data visualization: techniques, tools, and big data. Morgan & Claypool Publishers.Search in Google Scholar

[3] Hirve, S., & Pradeep Reddy, C. H. (2019). A survey on visualization techniques used for big data analytics. In Advances in Computer Communication and Computational Sciences: Proceedings of IC4S 2018 (pp. 447-459). Springer Singapore. HirveS. & Pradeep ReddyC. H. (2019). A survey on visualization techniques used for big data analytics. In Advances in Computer Communication and Computational Sciences: Proceedings of IC4S 2018 (pp. 447-459). Springer Singapore.Search in Google Scholar

[4] Miller, J. D. (2017). Big data visualization. Packt Publishing Ltd. MillerJ. D. (2017). Big data visualization. Packt Publishing Ltd.Search in Google Scholar

[5] Chawla, G., Bamal, S., & Khatana, R. (2018). Big data analytics for data visualization: Review of techniques. International Journal of Computer Applications, 182(21), 37-40. ChawlaG.BamalS. & KhatanaR. (2018). Big data analytics for data visualization: Review of techniques. International Journal of Computer Applications, 182(21), 37-40.Search in Google Scholar

[6] Yoo, K. H., Leung, C. K., & Nasridinov, A. (2022). Big data analysis and visualization: challenges and solutions. Applied Sciences, 12(16), 8248. YooK. H.LeungC. K. & NasridinovA. (2022). Big data analysis and visualization: challenges and solutions. Applied Sciences, 12(16), 8248.Search in Google Scholar

[7] Mani, M., & Fei, S. (2017, July). Effective big data visualization. In Proceedings of the 21st International Database Engineering & Applications Symposium (pp. 298-303). ManiM. & FeiS. (2017, July). Effective big data visualization. In Proceedings of the 21st International Database Engineering & Applications Symposium (pp. 298-303).Search in Google Scholar

[8] Caldarola, E. G., & Rinaldi, A. M. (2017). Big data visualization tools: a survey. Research Gate. CaldarolaE. G. & RinaldiA. M. (2017). Big data visualization tools: a survey. Research Gate.Search in Google Scholar

[9] Kahil, M. S., Bouramoul, A., & Derdour, M. (2020). Big data and interactive visualization: Overview on challenges, techniques and tools. Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) Volume 4-Advanced Intelligent Systems for Applied Computing Sciences, 157-167. KahilM. S.BouramoulA. & DerdourM. (2020). Big data and interactive visualization: Overview on challenges, techniques and tools. Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) Volume 4-Advanced Intelligent Systems for Applied Computing Sciences, 157-167.Search in Google Scholar

[10] Mohammed, L. T., AlHabshy, A. A., & ElDahshan, K. A. (2022, June). Big data visualization: A survey. In 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (pp. 1-12). IEEE. MohammedL. T.AlHabshyA. A. & ElDahshanK. A. (2022, June). Big data visualization: A survey. In 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (pp. 1-12). IEEE.Search in Google Scholar

[11] Ouyang, W. (2024). Data Visualization in Big Data Analysis: Applications and Future Trends. Journal of Computer and Communications, 12(11), 76-85. OuyangW. (2024). Data Visualization in Big Data Analysis: Applications and Future Trends. Journal of Computer and Communications, 12(11), 76-85.Search in Google Scholar

[12] Divya Zion, G., & Tripathy, B. K. (2020). Comparative analysis of tools for big data visualization and challenges. Data Visualization: Trends and Challenges Toward Multidisciplinary Perception, 33-52. Divya ZionG. & TripathyB. K. (2020). Comparative analysis of tools for big data visualization and challenges. Data Visualization: Trends and Challenges Toward Multidisciplinary Perception, 33-52.Search in Google Scholar

[13] Chandra, A. N. R., El Jamiy, F., & Reza, H. (2019, December). Augmented reality for big data visualization: a review. In 2019 International Conference on Computational Science and Computational Intelligence (CSCI) (pp. 1269-1274). IEEE. ChandraA. N. R.El JamiyF. & RezaH. (2019, December). Augmented reality for big data visualization: a review. In 2019 International Conference on Computational Science and Computational Intelligence (CSCI) (pp. 1269-1274). IEEE.Search in Google Scholar

[14] Golfarelli, M., & Rizzi, S. (2020). A model-driven approach to automate data visualization in big data analytics. Information Visualization, 19(1), 24-47. GolfarelliM. & RizziS. (2020). A model-driven approach to automate data visualization in big data analytics. Information Visualization, 19(1), 24-47.Search in Google Scholar

[15] Jin, X. (2020, August). The application of big data thinking in ideological and political education. In Journal of Physics: Conference Series (Vol. 1616, No. 1, p. 012008). IOP Publishing. JinX. (2020, August). The application of big data thinking in ideological and political education. In Journal of Physics: Conference Series (Vol. 1616, No. 1, p. 012008). IOP Publishing.Search in Google Scholar

[16] Zhou, J. (2022, December). Research on Ideological and Political Education in Colleges and Universities Under the Background of Big Data. In International Conference on Educational Technology and Administration (pp. 13-23). Cham: Springer International Publishing. ZhouJ. (2022, December). Research on Ideological and Political Education in Colleges and Universities Under the Background of Big Data. In International Conference on Educational Technology and Administration (pp. 13-23). Cham: Springer International Publishing.Search in Google Scholar

[17] Guan, S. (2019). Research on the Ideological and Political Assessment System Based on the Data Visualization. In International Conference on Applications and Techniques in Cyber Security and Intelligence ATCI 2018: Applications and Techniques in Cyber Security and Intelligence (pp. 593-598). Springer International Publishing. GuanS. (2019). Research on the Ideological and Political Assessment System Based on the Data Visualization. In International Conference on Applications and Techniques in Cyber Security and Intelligence ATCI 2018: Applications and Techniques in Cyber Security and Intelligence (pp. 593-598). Springer International Publishing.Search in Google Scholar

[18] Zhang, T. (2019, January). Construction and application of big data analysis platform for ideological and political education in colleges. In 2019 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS) (pp. 249-252). IEEE. ZhangT. (2019, January). Construction and application of big data analysis platform for ideological and political education in colleges. In 2019 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS) (pp. 249-252). IEEE.Search in Google Scholar

[19] Jing, G. (2023). Research on the Innovation of Network Ideological and Political Education in Colleges and Universities in the Era of Big Data. Contemporary Education and Teaching Research, 4(8), 394-399. JingG. (2023). Research on the Innovation of Network Ideological and Political Education in Colleges and Universities in the Era of Big Data. Contemporary Education and Teaching Research, 4(8), 394-399.Search in Google Scholar

[20] Tang, L. (2021, November). Design and implementation of ideological and political teaching system based on big data analysis. In 2021 2nd International Conference on Information Science and Education (ICISE-IE) (pp. 1008-1012). IEEE. TangL. (2021, November). Design and implementation of ideological and political teaching system based on big data analysis. In 2021 2nd International Conference on Information Science and Education (ICISE-IE) (pp. 1008-1012). IEEE.Search in Google Scholar

[21] Angelica Ronconi,Gianmarco Altoè & Lucia Mason. (2025). Ink and pixels: Impact of highlighting and reading self-efficacy on adolescents’ cognitive load, epistemic emotions, and text comprehension. Learning and Individual Differences102604-102604. RonconiAngelicaAltoèGianmarco & MasonLucia. (2025). Ink and pixels: Impact of highlighting and reading self-efficacy on adolescents’ cognitive load, epistemic emotions, and text comprehension. Learning and Individual Differences102604-102604.Search in Google Scholar

[22] Xiong Xiangnan. (2024). Double-coding in effect: the reception of the Piazza d’Italia. The Journal of Architecture(1-2),83-98. XiangnanXiong. (2024). Double-coding in effect: the reception of the Piazza d’Italia. The Journal of Architecture(1-2),83-98.Search in Google Scholar

[23] Fabianna Resende de Jesus Moraleida,Viviane Rocha Celedonio,Pedro Olavo de Paula Lima & Ana Carla Lima Nunes. (2024). Fear of movement interacts with trunk mobility, and pain intensity to predict disability in patients with chronic low back pain: a classification and regression tree (CART) analysis. Physiotherapy theory and practice1-9. de Jesus MoraleidaFabianna ResendeCeledonioViviane Rochade Paula LimaPedro Olavo & NunesAna Carla Lima. (2024). Fear of movement interacts with trunk mobility, and pain intensity to predict disability in patients with chronic low back pain: a classification and regression tree (CART) analysis. Physiotherapy theory and practice1-9.Search in Google Scholar