Abstract
Generative PAD teaching mode breaks through the restriction of traditional “presupposition-execution” teaching mode, emphasizes the generative feature of curriculum standard, teaching resources and teaching process on the basis of limited presupposition, and effectively changes the traditional passive teaching. It is widely applied in higher vocational colleges. In view of the common phenomenon of learning burnout and learning procrastination among the vocational college students, this research, based on the academic self-efficacy theory, constructs a model of generative PAD teaching to promote students’ academic self-efficacy, by influencing three factors, like students’ successful direct experience, high level of learning motivation and positive verbal evaluation. Through collecting the data of normal and experimental groups’ post-test of questionnaire, by analyzing the two independent T test sample with SPSS software, the results showed that students’ learning interest, learning confidence and learning attitude were significantly improved after the experimental teaching. The generative PAD teaching mode provides valuable references for the vocational teachers to practice teaching reform, by analyzing learners’ needs, setting teaching goals, building teaching resources, creating learning environment and improving teaching evaluation, which is helpful to improve classroom teaching quality in higher vocational colleges.
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References
Bandura, A.: Self-efficacy: toward a unifying theory of behavioral change. Pshchol. Rev. 84(2), 191–215 (1977)
Pintrich, P.R., DeGroot, E.V.: Motivational and self- regulated learning components of classroom academic performance. J. Educ. Psychol. 82(1), 33–40 (1990)
Morgan, V.L., Jinks, J.L.: Self- efficacy and achievement: a comparison of children’ beliefs from urban, suburban and rural schools. In: Divine, J.H., Tompkins, R.S. (eds.) Interdisciplinary Studies. Proceedings of the 17th National Conference of the Society of Educators and Scholars, pp. 216–224. The University of Southern Indiana Press, Evasville (1994)
Ma, Y.: Study on the relationship between college students’ learning burnout and learning self-efficacy. Mod. Educ. Sci. 01, 84–86 (2010). (in Chinese)
Shan, P.: Study on the relationship between learning burnout and academic self-efficacy of higher vocational college students. Commun. Vocat. Educ. 17, 24–28 (2017). (in Chinese)
Zhang, W., Zhao, J.: Relationship between burnout and academic self-efficacy in college students. Psychol. Res. 5(02), 72–76 (2012). (in Chinese)
X, X.: PAD classroom: a new exploration of classroom teaching reform in universities. Fudan Educ. Forum 12(05), 5–10 (2014). (in Chinese)
Ye, L.: Presupposition and generation in classroom teaching reform. Fund. Educ. Forum 10, 6–7 (2012). (in Chinese)
Chen, R.: PAD classroom: exploration of generative classroom teaching mode. Shanghai Res. Educ. 03, 71–74 (2016). (in Chinese)
Zhou, H.: Research on generative teaching design in information environment. China Educ. Inf. 08, 20–23 (2011). (in Chinese)
Acknowledgements
This work was supported by The First Batch of Teaching Reform Projects in the 13th Five-Year Plan for Higher Education in Zhejiang Province. Practice of PAD Teaching based on Motivation and Cognitive Theory in Higher Vocational Colleges – A Case Study of Business English Teaching for International Trade Major (Project No. jg20180631)
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Yuan, Y. (2021). Vocational Students’ Academic Self-efficacy Improvement Based on Generative PAD Teaching Mode. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1283. Springer, Cham. https://doi.org/10.1007/978-3-030-62746-1_87
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