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176 results for “Primary school”
The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 7. Drawing the time chain for Females primary stage students after the first difference
<p>We use the Unit Radix Dickey-Fuller Test to assert the series’ stability. The results are: Dickey-Fuller Test Estimated Value = 0.47242, Statistic Test = 1.22797, P-Value = 0.9445 We notice from the values above P-Value =0.9445 on the abstract level of 0.05 which leads to accepting the Null Hypothesis and refusing the Alternative Hypothesis (Existence of a Radix Unit) implies that the time series is instable. By taking the first difference, it is noticed that the stability of the time series has been accomplished. See Figure 7.</p>
The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 6. Drawing of auto correlation function and partial correlation for females primary stage students
<p>The instability of the time series is noticed and to be more precise we draw each (Autocorrelation Function) ACF, and (Partial Autocorrelation Function) PACF in a row to affirm the stability according to the figure 6.</p>
The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 4. Drawing of autocorrelation function and partial correlation for males primary stage students
<p>We get to notice the stability of the time series, and to be more accurate we draw each (Autocorrelation Function) ACF, and (Partial Autocorrelation Function) PACF in a row to ensure the stability according to the figure (4).</p>
The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 5. Drawing the time series for primary stage female students
<p>We use the Unit Radix Dickey-Fuller Test to assure the series’ stability. The results are: Dickey-Fuller Test Estimated Value = 0.233403, Statistic Test = 0.125769, P-Value = 0.6405 The values above P-Value = 0.6405 is noted on the abstract level of 0.05 which leads to refusing the Null Hypothesis and accepting the Alternative Hypothesis (The Nonexistence of a Radix Unit) implies that the time series is stable. Figure 5 represents the Time series of Female Primary Stage Students.</p>
The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 8. Drawing of autocorrelation function and partial correlation for Females primary stage students
<p>The stability of the time series is observed and to be more accurate we draw each (Autocorrelation Function) ACF, and (Partial Autocorrelation Function) PACF in a row to assure the stability according to the figure (8).</p>
The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 3. Drawing the time series for Males primary stage students after getting the first difference
<p>The Unit Radix Dickey-Fuller Test is used to assure the series’ stability. The results are: Dickey-Fuller Test Estimated Value = 0.276151, Statistic Test = 0.87796, P-Value = 0.8984 We get to notice from the values above P-Value = 0.8984 on the abstract level of 0.05 which leads to accepting the Null Hypothesis and refusing the Alternative Hypothesis (Existence of a Radix Unit) implies that the time series is instable. By taking the first difference, it is observed that the stability of the Time Series has been accomplished . See figure 3.</p>
The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 2. Drawing of autocorrelation function and partial correlation for males primary stage
<p>We get to notice the instability of the time series, and to be more precise we draw each (Autocorrelation Function) ACF, and (Partial Autocorrelation Function) PACF in a row to ensure the stability according to the figure 2.</p>
The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 1. Drawing the time series for males primary stage
<p>After collecting all the students’ dropout proportion for both males and females in the<br> primary stage, the first step of the Box-Jenkins is to draw the time chain data to understand the<br> chain's attitude.</p>
Basis words in Uzbek language(For Primary school students)
<p>Basis words in Uzbek language for Primary school students.</p> <p>The "1 sinf" file is a set of basic words prepared on the basis of unique lemmas from all 1st grade school textbooks.</p> <p>The "2 sinf" file is a set of basic words prepared on the basis of unique lemmas from all 1st grade school textbooks.</p> <p>The "3 sinf" file is a set of basic words prepared on the basis of unique lemmas from all 1st grade school textbooks.</p> <p>The "4 sinf" file is a set of basic words prepared on the basis of unique lemmas from all 1st grade school textbooks.</p>
Linked collectors and determiners for: The description of a new species of gall-inducing wasp: a learning activity for primary school students.
Natural history specimen data linked to collectors and determiners held within, "The description of a new species of gall-inducing wasp: a learning activity for primary school students". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/8fa4af52-5a18-43b0-9cd7-f9887f71a1f9">https://bionomia.net/dataset/8fa4af52-5a18-43b0-9cd7-f9887f71a1f9</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/8fa4af52-5a18-43b0-9cd7-f9887f71a1f9">https://gbif.org/dataset/8fa4af52-5a18-43b0-9cd7-f9887f71a1f9</a>. Formatted as a Frictionless Data package.
Dataset for the evaluation of student-level outcomes of a primary school Computer Science curricular reform
<p>Dataset for the evaluation of student-level outcomes of a primary school Computer Science curricular reform<br> =======================================================</p> <p>• If you publish material based on this dataset, please cite the following :</p> <p> • The Zenodo repository : Laila El-Hamamsy, Barbara Bruno, Jessica Dehler Zufferey, and Francesco Mondada (2023). Dataset for the evaluation of student-level outcomes of a primary school Computer Science curricular reform [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7489244</p> <p> • The associated peer reviewed article that will appear in the International Journal of STEM education : El-Hamamsy, L., Bruno, B., Audrin, C., Chevalier, M., Avry S., Dehler Zufferey, J., and Mondada, F. (2023). How are Primary School Computer Science Curricular Reforms Contributing to Equity? Impact on Student Learning, Perception of the Discipline, and Gender Gaps. arXiv, to appear in the International Journal of STEM Education. https://doi.org/10.48550/arXiv.2306.00820</p> <p>• License: This work is licensed under a Creative Commons Attribution 4.0 International license (CC-BY-4.0)</p> <p>• Creator: El-Hamamsy, L., Bruno, B., Dehler Zufferey, J., and Mondada, F.</p> <p>• Date: May 2nd 2023</p> <p>• Subject: Computer Science; Curricular Reform; Elementary Education; Learning Achievement; Computational Thinking; Perception Survey; Equity; Gender Gaps</p> <p>• Dataset format: CSV</p> <p>• Dataset collection: January 2021 to May 2022</p> <p>• Dataset size : < 100 kB</p> <p>• Dataset content : three excel files. We provide the detailed description of each of the files below. The original questions are available in the associated publication [1]. Please note that these datasets contain missing values due to students either not being present for all data collections or not having the associated teacher-related data.</p> <p>• Abbreviations :<br> - CS : Computer Science<br> - CT : Computational Thinking<br> - PD : Professional Development</p> <p>• Funding : This work was funded by the the NCCR Robotics, a National Centre of Competence in Research, funded by the Swiss National Science Foundation (grant number 51NF40_185543)</p> <p> </p> <p># References</p> <p>[1] El-Hamamsy, L., Bruno, B., Audrin, C., Chevalier, M., Avry S., Dehler Zufferey, J., and Mondada, F. (2023). How are Primary School Computer Science Curricular Reforms Contributing to Equity? Impact on Student Learning, Perception of the Discipline, and Gender Gaps. arXiv, to appear in the International Journal of STEM Education. https://doi.org/10.48550/arXiv.2306.00820</p>
Clustering of psychological profiles of primary school pupils
<p>Traditionally, arbitrary psychological research on different types of student activities uses certain sets of tests that reflect different states of students. These states are defined on the basis of certain criteria, the values of which are usually reflected by numerical scales with different intervals. Table 1 provides a list of these profiles and their factors, evaluation criteria with corresponding scales. Table 2 presents generalized results of testing of primary school pupils of the 2nd grade. <br> Due to the fact that the whole study is implemented on the basis of certain psychological profiles, which we also interpret as hyperproperties, in our case they are the receptors. <br> So the psychological profile of school motivation as a hyper-property defines five receptors, namely: <br> school motivation_high level <br> school motivation_good school motivation <br> school motivation_positive attitude to school<br> school motivation_low school motivation <br> school motivation_negative attitude to school<br> The protocol of cluster formation with receptor names is given in the file result of clustering.rtf</p> <p>Традиційно довільне психологічне дослідження різних видів діяльності учнів використовує певні набори тестів, які відображають різні стани учнів. Ці стани визначаються на основі певних критеріїв, значення яких звичайно відображаються числовими шкалами з різними інтервалами. вказані критерії оцінювання можуть бути проінтерпретовані як відповідні властивості учнів, що мають різні рівні прояву в їх діяльності. У табл. 1 наведено перелік цих профілів та їх фактори, означено критерії їх оцінювання з відповідними шкалами. У табл.2 наведені узагальнені результати тестування молодших учнів 2-го класу. <br> У зв’язку з тим, що усе дослідження реалізується на основі певних психологічних профілів, які ми ще й інтерпретуємо як гіпервластивості, у нашому випадку рецепторами є саме вони. <br> Так психологічний профіль school motivation, як гіпервластивість визначає п’ять рецепторів, а саме: <br> school motivation_high level <br> school motivation_good school motivation <br> school motivation_positive attitude to school<br> school motivation_low school motivation <br> school motivation_negative attitude to school<br> Протокол утворення кластерів з іменами рецепторів наведено в файлі result of clustering.rtf</p> <p> </p> <p> </p>
Public primary school in 19. century
Public primary school in 19. century (Croatia) in Military area add info - https://www.youtube.com/watch?v=_EHjTUXqoHE&t=78s The work represents a public school from **1877** in the area of Vojna Krajina (**Administrative Municipality of Sibinj**). The novelty from that time is that he had a toilet and that it was mixed. Source: Objaverse 1.0 / Sketchfab
Serpukhov Primary School
Old Serpukhov primary school. Built in the late 19th centure for children of workers of the Konshinsky manufacture. Now it is a branch of the institute of agriculture and construction. Tris: 9873 Polys: 3897 Verts: 5021 Texture size: 2048x1024 Source: Objaverse 1.0 / Sketchfab
Data and analysis for "Association of self-reported musculoskeletal pain with school furniture suitability and daily activities among primary school and university students"
<p>Datasets and R analysis code and report for the article "Association of self-reported musculoskeletal pain with school furniture suitability and daily activities among primary school and university students".</p>
Pre-post First Aid Interventional Program on Knowledge and Practice of Primary School Teachers in Governmental Basic Schools - River Nile State – Sudan
<p>Children spend most of the time in school where they are exposed to various types of injuries, which influence their present and future state of health. First aid is the treatment of any injury or illness before availability of medical aid. Teacher is the key person who can attend the children for injuries in school through complete knowledge regarding first aid. This study was done among primary school teachers to evaluate the effectiveness of education programon knowledge and practice regarding first aid. The objective of this study was to evaluate the effect of first aid health education program on knowledge, and practice of primary school teachers in River Nile. Pre and post interventional study design was used to evaluate the effect of first aid training program on knowledge and practice of primary school teachers . Data was derived from 45 respondents participating from AL-matama locality which selected by non-probability convenience sampling technique. Structural questionnaire for knowledge and checklist for practice of first aid practice. Data collected pre and immediate post implementation of first aid health education program. Data analyzed by SPSS version 25. Knowledge about first aid improved from Inadequate 44(97.8%), moderately adequate 1.0(2.2%) and adequate 0.0(0.0%) in pre intervention toInadequate 0.0(0.0%), moderately adequate 8.0(17.8%) and adequate 37(82.2%) post intervention, while also showed improvement in practice from inadequate 45(100%), moderately adequate 0.0(0.0%), and adequate 0.0(0.0%) in pre intervention toInadequate 0.0(0.0%), moderately adequate 4.0(8.9%) and adequate 41(91.1%) post intervention. Paired sample t-test revealed that the mean post-test knowledge score regarding first aidis significantly higher (77.25±3.53) than that of mean pretest knowledge score (39.57± 6.82) (P < 0.001)); mean posttest practice score was significantly higher (85.35 ± 7.29) then mean pretest practice score (30.56± 8.61) (P < 0.001). There is highly increased in Average Percent of correct Answers in knowledge and practice post intervention in relation to pre intervention in all first aid items, there is no significant correlation between education and knowledge practice score pre and post since p-value > 0.05.The result of the study showed effectiveness of the first aid health education program in improving teacher’s knowledge, and is highly effective in improving practice, supported hypotheses.</p>
Effectiveness of Health Education Program on Musculoskeletal Pain Management in Primary School Students
ClinicalTrials.gov study NCT07160478. IPD Sharing: YES. Countries: 1. Publications: 4.
Primary Care Prevention of Stimulant Diversion by High School Students With ADHD
ClinicalTrials.gov study NCT03080259. IPD Sharing: YES. Countries: 1. Publications: 3.
School-Based Nutrition Education in Primary Students
ClinicalTrials.gov study NCT07168928. IPD Sharing: NO. Countries: 1. Publications: 3.
Evaluation of a Digital School-Based Intervention for the Primary Prevention of Eating Disorders in Pre-Adolescents (PRETA Program)
ClinicalTrials.gov study NCT06792981. IPD Sharing: YES. Countries: 1. Publications: 1.
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