Thoughts from the School Health Education Evaluation Advisory Panel

Green, Lawrence W.; Cook, Thomas M.; Doster, Mildred E.; Fors, Stuart W.; Hambleton, Ronald K.; Smith, Alice H.; Walberg, Herbert J.

doi:10.1111/j.1746-1561.1985.tb05652.x

Cited by 2 publications

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“…It can reflect the actual level of school education resources to a certain extent, but the ability to reflect the theory of education management is slightly lacking. To enrich the evaluation system for education management theory, this article is reconstructing the corresponding evaluation system and researching the evaluation indicators that can fully reflect the theory of school education management [8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Research on the Evaluation Model of Educational Management Theory Based on Data Mining from the Perspective of Neural Network

Zheng

2021

Wireless Communications and Mobile Computing

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The improvement of the theoretical quality of education management is an indispensable part of a country’s education modernization. However, the existing research on the evaluation of educational management theory is still relatively small, and there is a lack of scientific educational management theory evaluation model. Designing a comprehensive and accurate educational management theory evaluation model has important theoretical value and practical significance. It is possible to process a lot of information in parallel using the artificial neural network method. By optimizing the artificial neural network, data mining of characteristic information data can be realized. Therefore, this paper uses neural network to conduct data mining on education management theory and conduct a comprehensive system evaluation of education management theory. At the same time, the traditional BP algorithm is improved. To train a neural network with large amounts of data, the BP algorithm uses a lot of gradient calculation, which takes a long time and often results in training going to extremes in the local area. BP neural networks are trained using the particle swarm optimization algorithm, and the backward propagation process in the BP algorithm is replaced with particle swarm iteration. To improve algorithm execution efficiency and speed up neural network training, a large number of gradient operations can be avoided. This can help overcome the limitations of the BP algorithm when dealing with large amounts of data. The improved BP algorithm is applied to the evaluation system of education management theory, and the quality evaluation prediction of management education theory is realized.

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Section: Introductionmentioning

confidence: 99%

Research on the Evaluation Model of Educational Management Theory Based on Data Mining from the Perspective of Neural Network

Zheng

2021

Wireless Communications and Mobile Computing

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“…This study proved that health education worked, it worked better when there was more of it, and worked best when highly motivated teachers delivered (at least) foundational health content. Administrative support and promotion of teacher training, health materials integration, and continuity across grades were critical factors for success (Green, Cook, Doster, Fors, Hambleton, Smith, & Walberg 1985). The SHEE's 1985 summary of findings noted the impact of "teacher-choice" on teaching performance.…”

Section: Domains Of Thought As They Apply To Learningmentioning

confidence: 99%

Discovering the Perceptions of Pre-Service/Novice Elementary Educators Toward Health Education and Health Instruction in the Elementary Classroom

Michael¹

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The impact of unhealthy choices on Americans is no longer an "adult's only" issue. Health disparities previously affecting adults are appearing at ever-increasing rates in children. A strategy to address this examines the likelihood that elementary teachers act as healthy role models while providing quality health instruction. Therefore, the purpose of this study was to assess the effect of the preservice elementary teacher training experience on the potential delivery of elementary classroom health instruction by clarifying the impact of programmatic training influences on the attitudes and behavioral intent of preservice elementary educators to teach health. Methods: A sample of 157 candidates were selected for this study consisting of preservice (in their final semester) and novice elementary educators (within 3 years from graduation) from an accredited teacher training program in WV. Participants responded to an anonymous, electronic survey containing demographic and attitudinal questions focused on health education experiences during and after their undergraduate, teacher training experience. Frequencies and analyses of variance were used to examine responses and compare survey items. Results: 93 participants responded to the 38-item questionnaire. 23 items assessed the three levels of behavioral intent: attitude (A), subjective norms (SN), and perceived behavioral control (PBC). Findings indicated that attitude was most affected by health education teacher training (p≤.003), whether or not respondents recalled specific training (three or more curricular components (p≤ .042), one or two (p≤ .0074), or none at all (p≤ .004)). Correlations were found between measures of personal health and Attitude (health status: p≤ .034; exercise frequency: p≤ .044) and Subjective Norms (health status: p≤ .025; exercise frequency: p≤-.005). As recall of training on specific curricular components increased, the discipline of Health increased in importance when compared to math, science, technology and reading/language arts (no recall = 4.17, recall of one or two =3.85, recall of three or more = 3.48). Conclusions: Required training profoundly affected attitudes toward health education. There was a significant relationship between attitude and measures of personal health. Powerful others (SN) played an impressive role in influencing perceptions of value regarding the discipline of Health Education. No particular group of course components influenced behavioral intent and attitude as much as the completion of a training program requirement on specific/organized curricula in health education. Training improved Health Education's academic ranking.

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Thoughts from the School Health Education Evaluation Advisory Panel

Cited by 2 publications

References 0 publications

Research on the Evaluation Model of Educational Management Theory Based on Data Mining from the Perspective of Neural Network

Research on the Evaluation Model of Educational Management Theory Based on Data Mining from the Perspective of Neural Network

Discovering the Perceptions of Pre-Service/Novice Elementary Educators Toward Health Education and Health Instruction in the Elementary Classroom

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