Abstract
With the promotion and implementation of student-centered teaching concepts, traditional teaching methods do not meet teaching requirements in the new era. Because of the deficiency of pertinence and accuracy in traditional teaching activities, this paper proposes precision teaching based on big data by analyzing educational data. This paper proposes methods to reform the teaching methods from teaching design, teaching practice, and teaching assessment. Besides, data about students, courses, and other learning resources and course assessment are collected through normal analysis, Pearson correlation analysis, and linear regression analysis. Then it is found that personalized test scores are the main factor that affects students’ final learning effect. The interactive teaching factors are not perfect, so it is necessary to strengthen teaching design and embody individualized development.
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References
Griffin, C.P., Murtagh, L.: Increasing the sight vocabulary and reading fluency of children requiring reading support: the use of a precision teaching approach. Educ. Psychol. Pract. 2, 186–209 (2015)
Binder, C., Watkins, C.L.: Precision teaching and direct instruction: measurably superior instructional technology in schools. Perform. Improv. Q. 3, 74–96 (1990)
Athabasca University. Precision teaching: Concept definition and guiding principles. <https://psych.athabascau.ca/open/lindsley/concept.php>
Downer, A.C.: The national literacy strategy sight recognition programme implemented by teaching assistants: a precision teaching approach. Educ. Psychol. Pract. 2, 129–143 (2007)
Gallagher, E.: Improving a mathematical key skill using precision teaching. Irish Educ. Stud. 3, 303–319 (2006)
Strømgren, B., Berg-Mortensen, C., Tangen, L.: The use of precision teaching to teach basic math facts. Eur. J. Behav. Anal. 2, 225–240 (2014)
Zhu, Z.T., Peng, H.C.: Efficient knowledge teaching supported by information technology: energizing precision teaching. China’s Audio-Vis. Educ. 01, 18–25 (2016)
Liang, M.F.: Probing into Precision Teaching. Basic Educ. 06, 4–7 (2016)
Zhang, L.Z.: A study on the accurate teaching model in the flipped classroom. J. Wuhan Metall. Manage. Cadre Coll. 2, 50–52 (2016)
Zheng, Y.W., Chen, H.X., Bai, Y.H.: An experimental study on the accuracy of students ’attention in classroom teaching based on big data. Mod. Educ. Sci. 2, 54–57 (2016)
Acknowledgments
Heilongjiang Province Education Science Planning 2020 Key Project Research Results, Research, and practice on the construction of “gold course” of computer major based on the achievement-oriented, (Subject Approval No.: GJB1320330).
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Jing, F. (2022). Accurate Teaching Data Analysis of “Special Effects Production for Digital Films and TV Programmes” Based on Big Data. In: Hassanien, A.E., Xu, Y., Zhao, Z., Mohammed, S., Fan, Z. (eds) Business Intelligence and Information Technology. BIIT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 107. Springer, Cham. https://doi.org/10.1007/978-3-030-92632-8_16
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DOI: https://doi.org/10.1007/978-3-030-92632-8_16
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