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Research on Practice of P-PMCP Double Closed-Loop Hybrid Teaching Model—Taking Course of “Big Data Visualization” as an Example

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Computer Science and Education (ICCSE 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1813))

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Abstract

Under the current trend of education reform in China, educational concepts and teaching models are evolving around the “Student-Centered” approach. How to develop a philosophy of education that is in line with this theme and how to design a teaching model that is in line with this philosophy becomes an important issue for teachers to produce innovative results. To address this issue, this paper proposes a P-PMCP hybrid teaching model that incorporates the general laws of human cognition into the design of the learning objectives and activities for each cognitive stage. Taking the course Big Data Visualization as an example, online and offline hybrid teaching was carried out based on the P-PMCP model. The paper illustrates the effectiveness of the method through the comparison of the student’s performance and questionnaire analysis.

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References

  1. Kim, M., Kim, S., Getman, J.: The experience of three flipped classrooms in an urban university: an exploration of design principles. Internet High. Educ. 22(1), 37–50 (2014)

    Article  Google Scholar 

  2. Mason, G., Shuman, T., Cook, K.: Comparing the effectiveness of an inverted classroom to a traditional classroom in an upper-division engineering course. IEEE Trans. Educ. 56(4), 430–435 (2013)

    Article  Google Scholar 

  3. Hu, R., Ming, S.: Research of teaching methods of the programming course based on cognitive law. In: Proceedings of 2008 International Seminar on Education Management and Engineering, pp. 534–539. M&D Forum, Chengdu China (2008)

    Google Scholar 

  4. Shi, L.: Research on practice of online and offline mixed teaching based on wisdom tree platform — taking course of “principles of electrical appliances” as an example. In: Proceedings of 2020 International Conference on Artificial Intelligence and Education (ICAIE), pp. 76–78.Conference Publishing Services, Tianjin China (2020)

    Google Scholar 

  5. Lu, H., Ye, M., Gao, B., Wei, G., Gao, Z.: Exploration and practice of hybrid teaching mode under MOOC environment: taking “Database System Principle” as an example. In: Proceedings of the 9th International Conference on Information Technology in Medicine and Education (ITME), pp. 498–502. IEEE, Hangzhou China (2018)

    Google Scholar 

  6. Li, Q., Chen, W., Lei, S.: Design and practice of “Data Structure” teaching class based on BOPPPS model. In: Proceedings of the 8th International Conference on Information Technology in Medicine and Education (ITME), pp. 503–506. IEEE, Fuzhou China (2016)

    Google Scholar 

  7. Xiaoyu, L., Chunm, L., Hui, Z, et al.: Assessment of the effectiveness of BOPPPS-based hybrid teaching model in physiology education. BMC Med. Educ. 22(1), 1–10 (2022)

    Google Scholar 

  8. Sabine, Z., Uta, L., Timo, G.: Web-based and mixed-mode cognitive large-scale assessments in higher education: an evaluation of selection bias, measurement bias, and prediction bias. Behav. Res. Methods 53(1), 1202–1217 (2021)

    Google Scholar 

  9. Chiruei, J.H., et al.: The effect of the “prediction-observation-quiz-explanation” inquiry-based e-learning model on flow experience in green energy learning. Comput. Educ. 133(1), 127–138 (2019)

    Google Scholar 

  10. Peipei, G., Yuanhong, Z., Mingxiao, L.: A new teaching pattern and evaluation system of knowledge point puzzle in massive online computer courses. In: Proceedings of the 15th International Conference on Computer Science & Education (ICCSE), pp. 103–106. IEEE (2020)

    Google Scholar 

  11. Reiser, R., Maron, A., Visintin, L., Abeijon, M., Kreinovich, V.: Relation between polling and likert-scale approaches to eliciting membership degrees clarified by quantum computing. In: Proceedings of 2013 IEEE International Conference on Fuzzy Systems, pp.1–6. Hyderabad, India (2013)

    Google Scholar 

  12. Hornbeck, H., Alim, U.: UofC-Bayes: a Bayesian approach to visualizing uncertainty in Likert scales. In: Proceedings of 2019 IEEE Conference on Visual Analytics Science and Technology (VAST), pp.130–131. Vancouver, BC, Canada (2019)

    Google Scholar 

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Acknowledgement

This work was supported by the grants of the following programs: Collaborative Education Project of Industry University Cooperation of the Ministry of Education (202002021001, 202002021004), New liberal arts research and reform practice project of the Ministry of Education (2021020001).

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Correspondence to Hong Zhao .

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Gao, P., Zhao, H., Liang, S., Xiang, H. (2023). Research on Practice of P-PMCP Double Closed-Loop Hybrid Teaching Model—Taking Course of “Big Data Visualization” as an Example. In: Hong, W., Weng, Y. (eds) Computer Science and Education. ICCSE 2022. Communications in Computer and Information Science, vol 1813. Springer, Singapore. https://doi.org/10.1007/978-981-99-2449-3_9

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  • DOI: https://doi.org/10.1007/978-981-99-2449-3_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-2448-6

  • Online ISBN: 978-981-99-2449-3

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