Abstract
This paper mainly uses the reliability test of the scale to test the questionnaire survey. The four factors are the teacher factor scale, the student factor scale, the learning environment factor scale, and the classroom interaction effectiveness measure index scale. Reliability test is performed on the table. If the variable is greater than 0.7, the reliability is good, and the principal component principle is used to evaluate the students’ different learning situations as a whole. In terms of experiments, this paper mainly selects two classes for a school. One for the control class is traditional teaching, and the other is an experimental class, which uses the Internet to integrate traditional education and teach separately. It is mainly discussed in terms of the number of classroom questions, participation in discussions, the number of pre-class previews, online answer scores, homework scores, and overall evaluation scores. The experimental class scores are better than the control class. But in terms of the number of pre-class previews, the control class is higher than the experimental class. Therefore, as far as the integration of the Internet into traditional education and teaching, it may cultivate students’ inertia and test their consciousness. And after the integration of the Internet into traditional teaching, students’ satisfaction with learning is higher than that of traditional teaching, which also greatly promotes the integration of the Internet into traditional teaching.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Li, Si., Wang, Z., Ruan, J.: Research on the influence of nonlocal effect on specific roll pressure by nonlocal stress gradient model in strip rolling. Int. J. Adv. Manuf. Technol. 94(1), 1857–1862 (2018)
Zhao, Y.: Research on the diversified evaluation index system and evaluation model of physical education teaching in colleges and universities. J. Comput. Theor. Nanosci. 14(1), 99–103 (2017)
Botham, K.A.: The perceived impact on academics’ teaching practice of engaging with a higher education institution’s CPD scheme. Innov. Educ. Teach. Int. 55(2), 1–12 (2017)
Edessa, S.: Impacts of insufficient instructional materials on teaching biology: higher education systems in focus. Cypriot J. Educ. Sci. 12(1), 02 (2017)
Slavkin, H.C.: The impact of research on the future of dental education: how research and innovation shape dental education and the dental profession. J. Dental Educ. 81(9s), e108–e127 (2017)
Venegas-Muggli, J.I., Muñoz-Gajardo, K.A., González-Clares, M.J.: The impact of counseling and mathematics remedial programs on the academic achievement of higher education students in Chile. J. College Stud. Dev. 60(4), 472–488 (2019)
Lee, L.A., Chao, Y.P., Huang, C.G.: Cognitive style and mobile e-learning in emergent otorhinolaryngology-head and neck surgery disorders for millennial undergraduate medical students: randomized controlled trial. J. Med. Internet Res. 20(2), e56 (2018)
Monroy, P.S., Arcos-Vega, J.L., Garcia, J.J.S.: Analysis of ordinary public fund and its impact on the quality of academic programs in the higher education in the subsystem of the polytechnic universities in Mexico. High. Educ. Stud. 7(2), 51 (2017)
Ratzinger, D., Amess, K., Greenman, A.: The impact of digital start-up founders’ higher education on reaching equity investment milestones. J. Technol. Transfer 43(3), 1–9 (2018)
Yun, Y., Chen, J., Zhang, P.: P-158: research on the influence of LCD dummy design on around mura. SID Symp. Digest Tech. Pap. 50(1), 1832–1835 (2019)
Wei, X.Z., Su, W.T., Yin, J.L., et al.: Research of the Influence of circulation distribution on the centrifugal pump performance. Contemp. Youth Res. 59(5), 1–4 (2017)
Wang, J.C., Liu, X.F., Hou, W.H.: Research on the influence of construction of new bridge on foundation displacement of high-speed railway in service. J. Railway Eng. Soc. 34(7), 60–65+83 (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Zang, B. (2021). Impact of the Internet on the Teaching Effect of Higher Education Based on Big Data Analysis. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_137
Download citation
DOI: https://doi.org/10.1007/978-981-33-4572-0_137
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-33-4573-7
Online ISBN: 978-981-33-4572-0
eBook Packages: Computer ScienceComputer Science (R0)