Paper
6 May 2022 Evaluate the effects of smart classroom on Chinese academic achievements of junior high school students with potential growth model
Xianfeng Li
Author Affiliations +
Proceedings Volume 12176, International Conference on Algorithms, Microchips and Network Applications; 121761X (2022) https://doi.org/10.1117/12.2636580
Event: International Conference on Algorithms, Microchips, and Network Applications 2022, 2022, Zhuhai, China
Abstract
In the era of big data and artificial intelligence, the Smart Classroom, a new type of classroom, is becoming popular in primary and secondary schools. Meanwhile, the evaluation of its effects has gradually attracted much research interest. Through two years of follow-up and data mining, this study evaluated three consecutive semesters' final Chinese grades of 195 junior school students who participated in the experimental teaching of Smart Classroom with algorithm called latent growth model(LGM). The results showed that despite the significant individual differences in starting grades, Smart Classroom produced significant positive potential growth rates which averagely increased 5.536 points per semester. This study conducted a more accurate algorithm compared traditional analysis of means and variances of educational dates, as well providing a more precise empirical evidence literature of effect of smart technologies on Chinese language educational in junior high school.
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Xianfeng Li "Evaluate the effects of smart classroom on Chinese academic achievements of junior high school students with potential growth model", Proc. SPIE 12176, International Conference on Algorithms, Microchips and Network Applications, 121761X (6 May 2022); https://doi.org/10.1117/12.2636580
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KEYWORDS
Data modeling

Analytical research

Statistical analysis

Evolutionary algorithms

Error analysis

Data mining

Information technology

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