Construction of a Teaching System Based on Big Data and Artificial Intelligence to Promote the Physical Health of Primary School Students DOI Open Access
Zhonglin Ma, Changcheng Xin,

Huifang Zheng

и другие.

Mathematical Problems in Engineering, Год журнала: 2021, Номер 2021, С. 1 - 10

Опубликована: Июнь 7, 2021

In recent years, although the overall physical health of Chinese students has shown an upward trend, substantial decline in student fitness been basically curbed. Most indicators are steadily improving, but there still many problems that need to be vigilant. order solve problem primary school students, it is very important construct a teaching system based on big data and artificial intelligence promote students. This article aims study from actual situation find scientific reasonable methods improve uses literature method, questionnaire survey mathematical statistics other research analyze current condition interviewed influencing factors by taking 5 domestic schools as object. It concluded more than 90% Haidian District, Beijing, have good physique development. The development level strength flexibility gradually improved, speed endurance quality decline, especially boys declined most. Lack exercise habits, insufficient time efficiency, lack appropriate volume necessary intensity currently most affecting not caused single factor, result multiple factors. puts forward number suggestions for above solved urgently.

Язык: Английский

Risk indicators for dental caries, and gingivitis among 6–11-year-old children in Nigeria: a household-based survey DOI Creative Commons
Morẹ́nikẹ́ Oluwátóyìn Foláyan, Abiola Adeniyi,

Olaniyi Arowolo

и другие.

BMC Oral Health, Год журнала: 2022, Номер 22(1)

Опубликована: Ноя. 3, 2022

Abstract Background There is little known about the factors associated with caries experience and gingivitis among 6–11-year-old children in Nigeria. The aim of study was to determine prevalence preventive oral health behaviors Methods A cross-sectional questionnaire-based survey conducted Ile-Ife, dependent variables were gingivitis. dmft/DMFT index used assess dental (present or absent) severity. gingival severity (healthy gingiva/mild versus moderate/severe gingivitis). independent (frequency daily tooth brushing, frequency consumption refined carbohydrates in-between-meals, use fluoridated toothpaste, floss, history service utilization). series logistic regression analysis models constructed associations between after adjusting for confounders (age, sex, socioeconomic status). Results 69 (5.2%) caries. mean (standard deviation) dmft 0.08 (0.457) DMFT 0.02 (0.159). 839 (63.3%) a (SD) score 0.503 (0.453). Children who seldom never fluoride toothpaste had significantly higher odds developing moderate severe (AOR; 1.671; 95% CI: 1.003–2.786; p = 0.049). middle socio-economic status lower (AOR: 0.573; 95%CI: 0.330–0.994; 0.048). no risk indicators identified Conclusion low while high population. seem reduce Further studies are needed understand these findings.

Язык: Английский

Процитировано

9

Construction of a Teaching System Based on Big Data and Artificial Intelligence to Promote the Physical Health of Primary School Students DOI Open Access
Zhonglin Ma, Changcheng Xin,

Huifang Zheng

и другие.

Mathematical Problems in Engineering, Год журнала: 2021, Номер 2021, С. 1 - 10

Опубликована: Июнь 7, 2021

In recent years, although the overall physical health of Chinese students has shown an upward trend, substantial decline in student fitness been basically curbed. Most indicators are steadily improving, but there still many problems that need to be vigilant. order solve problem primary school students, it is very important construct a teaching system based on big data and artificial intelligence promote students. This article aims study from actual situation find scientific reasonable methods improve uses literature method, questionnaire survey mathematical statistics other research analyze current condition interviewed influencing factors by taking 5 domestic schools as object. It concluded more than 90% Haidian District, Beijing, have good physique development. The development level strength flexibility gradually improved, speed endurance quality decline, especially boys declined most. Lack exercise habits, insufficient time efficiency, lack appropriate volume necessary intensity currently most affecting not caused single factor, result multiple factors. puts forward number suggestions for above solved urgently.

Язык: Английский

Процитировано

5