Pub Date : 2023-01-01DOI: 10.4236/ojapps.2023.139122
Juan Zhou, Fang Peng, Aiping Gong, Mengting Huang, Hong Zhou
Objective: To explore graduation practical ability assessment mode of graduate students in nursing (Master of Nursing Specialist, MNS). Methods: All 28 MNS 2020th graduate students in a university were selected as subjects by convenient sampling method, using the improved 4-station objective structured examination (Objective Structured Clinical Examination, OSCE) model. The assessment content included nursing assessment, nursing diagnosis, basic nursing operation, specialist nursing operation, theoretical written test and oral test and overall evaluation. And self-made questionnaire was used to evaluate the effect of the assessment model and the improvement of clinical practice ability of graduate students. Results: The overall satisfaction rate of graduation assessment was 89.51%, the overall satisfaction rate of graduation assessment mode and practical ability improvement evaluation was 84.66%, the pass rate of assessment results was 100%, and the excellent rate was 71.42%. Conclusion: The MNS graduation practical ability assessment model has a high degree of satisfaction, objectively evaluates the knowledge, skills, attitudes and emotions of graduate students, promotes the comprehensive quality and ability of graduate students, which is worthy of promotion.
{"title":"Discussion on the Graduation Practical Ability Assessment Model for Master of Nursing Specialist Students","authors":"Juan Zhou, Fang Peng, Aiping Gong, Mengting Huang, Hong Zhou","doi":"10.4236/ojapps.2023.139122","DOIUrl":"https://doi.org/10.4236/ojapps.2023.139122","url":null,"abstract":"Objective: To explore graduation practical ability assessment mode of graduate students in nursing (Master of Nursing Specialist, MNS). Methods: All 28 MNS 2020th graduate students in a university were selected as subjects by convenient sampling method, using the improved 4-station objective structured examination (Objective Structured Clinical Examination, OSCE) model. The assessment content included nursing assessment, nursing diagnosis, basic nursing operation, specialist nursing operation, theoretical written test and oral test and overall evaluation. And self-made questionnaire was used to evaluate the effect of the assessment model and the improvement of clinical practice ability of graduate students. Results: The overall satisfaction rate of graduation assessment was 89.51%, the overall satisfaction rate of graduation assessment mode and practical ability improvement evaluation was 84.66%, the pass rate of assessment results was 100%, and the excellent rate was 71.42%. Conclusion: The MNS graduation practical ability assessment model has a high degree of satisfaction, objectively evaluates the knowledge, skills, attitudes and emotions of graduate students, promotes the comprehensive quality and ability of graduate students, which is worthy of promotion.","PeriodicalId":19671,"journal":{"name":"Open Journal of Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135599315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.4236/ojapps.2023.139127
Limao Chen
Based on first-hand materials obtained from field investigations in Malaysia, the results show that: firstly, there are 17 initials in the Leizhou dialect of Malaysia, including the implosives initial and the [f] initial. The pronunciation of Leizhou dialect in China is already rare, some of which are retained in the Leizhou dialect of Malaysia. Its initial consonant is borrowed from local Hua Yu or other Chinese dialects. Secondly, the Leizhou dialect of Malaysia has 46 finals. The pronunciation and timbre of some of its vowels are similar to the Yue dialect of Malaysia [ɐ] main vowel. Thirdly, there are 8 monosyllabic tones in the Leizhou dialect of Malaysia. The pronunciation and tone of some of its characters are similar to the Xia Yin entering tone of Yue dialect of Malaysia.
{"title":"On the Phonology Characteristics of Leizhou Dialect in Malaysia","authors":"Limao Chen","doi":"10.4236/ojapps.2023.139127","DOIUrl":"https://doi.org/10.4236/ojapps.2023.139127","url":null,"abstract":"Based on first-hand materials obtained from field investigations in Malaysia, the results show that: firstly, there are 17 initials in the Leizhou dialect of Malaysia, including the implosives initial and the [f] initial. The pronunciation of Leizhou dialect in China is already rare, some of which are retained in the Leizhou dialect of Malaysia. Its initial consonant is borrowed from local Hua Yu or other Chinese dialects. Secondly, the Leizhou dialect of Malaysia has 46 finals. The pronunciation and timbre of some of its vowels are similar to the Yue dialect of Malaysia [ɐ] main vowel. Thirdly, there are 8 monosyllabic tones in the Leizhou dialect of Malaysia. The pronunciation and tone of some of its characters are similar to the Xia Yin entering tone of Yue dialect of Malaysia.","PeriodicalId":19671,"journal":{"name":"Open Journal of Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135798373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.4236/ojapps.2023.1310143
Kokoa Chia Marie Reine, Kra Akoua Clarisse, Irié Bi Trazié Gaël, Coulibaly Sougo Aoua, Affian Kouadio
The tests performed with two hundred and thirty-nine (239) samples from the A-X and B-X drillings help to know their sedimentological and chemostratigraphic characters. In sedimentological term formations are composed of sand, sandstone, limestone, siltstone and argillite that alternate along the drill. In chemostratigraphic term two megasequences (MS1 and MS2) have been identified. A correlation of chemostratigraphic data completed by the lithology results allowed a subdivision of oil wells that shows two main types of deposits environments. First, a proximal marine environment to continental and to Albian marked by a detrital flow deducted from the concentrations evolution of indicator elements of terrigenous material that are K, Mg, and Rb. On the other hand, a deep to shallow marine environment of Cenomanian to Paleocene marked by the presence of predominantly clay sediments and abundant glauconite in the lower Senonian. Nevertheless, there is a transition or intermediate environment that is characterized by the presence of glauconite and detrital flows.
{"title":"Chemostratigraphic Characterization Tests on Sedimentary Formations in the Côte D’Ivoire Offshore Basin: Case of A-X and B-X Wells","authors":"Kokoa Chia Marie Reine, Kra Akoua Clarisse, Irié Bi Trazié Gaël, Coulibaly Sougo Aoua, Affian Kouadio","doi":"10.4236/ojapps.2023.1310143","DOIUrl":"https://doi.org/10.4236/ojapps.2023.1310143","url":null,"abstract":"The tests performed with two hundred and thirty-nine (239) samples from the A-X and B-X drillings help to know their sedimentological and chemostratigraphic characters. In sedimentological term formations are composed of sand, sandstone, limestone, siltstone and argillite that alternate along the drill. In chemostratigraphic term two megasequences (MS1 and MS2) have been identified. A correlation of chemostratigraphic data completed by the lithology results allowed a subdivision of oil wells that shows two main types of deposits environments. First, a proximal marine environment to continental and to Albian marked by a detrital flow deducted from the concentrations evolution of indicator elements of terrigenous material that are K, Mg, and Rb. On the other hand, a deep to shallow marine environment of Cenomanian to Paleocene marked by the presence of predominantly clay sediments and abundant glauconite in the lower Senonian. Nevertheless, there is a transition or intermediate environment that is characterized by the presence of glauconite and detrital flows.","PeriodicalId":19671,"journal":{"name":"Open Journal of Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135212577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.4236/ojapps.2023.139118
Sherif S. Nafee, Amir M. Al-Ramady, Manal F. Alshammari
123I is the most widely used cyclotron-produced radio-halogen in medical research. In this paper, excitation function formulae for the nuclear reactions of 123I production are introduced. 124Te (p, 2n)123I and 127I (p, 5n)123Xe → 123I nuclear reactions have been studied as a function of the energy of the neutrons. Both two formulae were created using the least squares regression of the experimental cross sections data, which were obtained from the Experimental Nuclear Reaction Data EXFOR Database version of 2023. The proposed formulae were evaluated using two statistical indicators for goodness-of-fit. High agreement was observed between the empirical and experimental results for both nuclear processes.
{"title":"Accurate Formulae for the Cross-Section Data for the Radio-Halogen I-123 from Cyclotron Production","authors":"Sherif S. Nafee, Amir M. Al-Ramady, Manal F. Alshammari","doi":"10.4236/ojapps.2023.139118","DOIUrl":"https://doi.org/10.4236/ojapps.2023.139118","url":null,"abstract":"123I is the most widely used cyclotron-produced radio-halogen in medical research. In this paper, excitation function formulae for the nuclear reactions of 123I production are introduced. 124Te (p, 2n)123I and 127I (p, 5n)123Xe → 123I nuclear reactions have been studied as a function of the energy of the neutrons. Both two formulae were created using the least squares regression of the experimental cross sections data, which were obtained from the Experimental Nuclear Reaction Data EXFOR Database version of 2023. The proposed formulae were evaluated using two statistical indicators for goodness-of-fit. High agreement was observed between the empirical and experimental results for both nuclear processes.","PeriodicalId":19671,"journal":{"name":"Open Journal of Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135440056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.4236/ojapps.2023.1310148
Yuying Shi
The purpose of this study was to investigate college students’ use of impoliteness expressions in WeChat diction and what factors influence college students’ use of impoliteness expressions. In-depth interview was used. The chatting records of a large WeChat group with 134 members—Hubin 12 Housings’ 2021 graduate Management group in a comprehensive university in Wuhan in the latest month were analyzed. 10 college students who were members of that WeChat group were interviewed. The interview was related to their inner activities when using impoliteness expressions and what factors could influence their use of impoliteness expressions. The results showed that college students were more likely to use motivated impoliteness, informational impoliteness and strategic impoliteness. College students’ use of impoliteness expressions were influenced by gender, social status and the relationship between the speaker and the hearer. The paper could provide a new study area for researchers. It will attract researchers’ attention on the use of impolite language, especially among different roles of people in society.
{"title":"College Students’ Use of Impoliteness Expression in the WeChat Diction","authors":"Yuying Shi","doi":"10.4236/ojapps.2023.1310148","DOIUrl":"https://doi.org/10.4236/ojapps.2023.1310148","url":null,"abstract":"The purpose of this study was to investigate college students’ use of impoliteness expressions in WeChat diction and what factors influence college students’ use of impoliteness expressions. In-depth interview was used. The chatting records of a large WeChat group with 134 members—Hubin 12 Housings’ 2021 graduate Management group in a comprehensive university in Wuhan in the latest month were analyzed. 10 college students who were members of that WeChat group were interviewed. The interview was related to their inner activities when using impoliteness expressions and what factors could influence their use of impoliteness expressions. The results showed that college students were more likely to use motivated impoliteness, informational impoliteness and strategic impoliteness. College students’ use of impoliteness expressions were influenced by gender, social status and the relationship between the speaker and the hearer. The paper could provide a new study area for researchers. It will attract researchers’ attention on the use of impolite language, especially among different roles of people in society.","PeriodicalId":19671,"journal":{"name":"Open Journal of Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135263482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bundle recommendation aims to provide users with convenient one-stop solutions by recommending bundles of related items that cater to their diverse needs. However, previous research has neglected the interaction between bundle and item views and relied on simplistic methods for predicting user-bundle relationships. To address this limitation, we propose Hybrid Contrastive Learning for Bundle Recommendation (HCLBR). Our approach integrates unsupervised and supervised contrastive learning to enrich user and bundle representations, promoting diversity. By leveraging interconnected views of user-item and user-bundle nodes, HCLBR enhances representation learning for robust recommendations. Evaluation on four public datasets demonstrates the superior performance of HCLBR over state-of-the-art baselines. Our findings highlight the significance of leveraging contrastive learning and interconnected views in bundle recommendation, providing valuable insights for marketing strategies and recommendation system design.
{"title":"Multi-View Hybrid Contrastive Learning for Bundle Recommendation","authors":"Maoyan Lin, Youxin Hu, Zhixin Wang, Jianqiu Luo, Jinyu Huang","doi":"10.4236/ojapps.2023.1310138","DOIUrl":"https://doi.org/10.4236/ojapps.2023.1310138","url":null,"abstract":"Bundle recommendation aims to provide users with convenient one-stop solutions by recommending bundles of related items that cater to their diverse needs. However, previous research has neglected the interaction between bundle and item views and relied on simplistic methods for predicting user-bundle relationships. To address this limitation, we propose Hybrid Contrastive Learning for Bundle Recommendation (HCLBR). Our approach integrates unsupervised and supervised contrastive learning to enrich user and bundle representations, promoting diversity. By leveraging interconnected views of user-item and user-bundle nodes, HCLBR enhances representation learning for robust recommendations. Evaluation on four public datasets demonstrates the superior performance of HCLBR over state-of-the-art baselines. Our findings highlight the significance of leveraging contrastive learning and interconnected views in bundle recommendation, providing valuable insights for marketing strategies and recommendation system design.","PeriodicalId":19671,"journal":{"name":"Open Journal of Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135157961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.4236/ojapps.2023.139126
Emmanuel Donkor, Stephen Adu-Bredu, Edward Matthew Osei Jnr, Samuel A. Andam-Akorful, Yakubu Mohammed
The role of cocoa systems for climate change mitigation and adaptation has increased substantially because of their capability to trap carbon dioxide from the atmosphere and deposited in the cocoa trees as carbon. Development of aboveground biomass (AGB) models for cocoa plantations is crucial for accurate estimation of carbon stocks in the cocoa systems, however, allometric models for estimating AGB for cocoa plantations remain a challenge for cocoa producing countries in Sub-Saharan Africa especially Ghana. The aim of this study is to develop allometric model that can be used for the estimation of AGB for cocoa plantations in Ghana, as well as West Africa. Destructive sampling was carried out on 110 cocoa trees obtained from the cocoa rehabilitation exercise for the development of the allometric models. Diameter at breast height (D), total tree height (H) and wood density (ρ) were used as predictors to develop seven models. The best model was selected based on coefficient of determination (R2), index of agreement (IA), root mean squared error (RMSE), bias (E%), mean absolute error (MAE) and corrected akaike information criterion (AICC) and percentage relative standard error (PRSE) of the estimated parameters. The selected model, which was the one with the predictors D and ρ, was given as; AGB = 0.7217ρ(D2)0.921. It was compared with the Yuliasmara et al. (2009) cocoa model using equivalence test and paired sample t-test. The two models were found to be equivalent within ±10% of their mean predictions (p < 0.0001) for one-tailed tests for both lower and upper limits, while the paired sample t-test rejected the null hypothesis with mean difference of 14.16 kg between the two models. This study is significant because it has provided a model to estimate AGB for the cocoa plantations in Ghana which is very important for the Ghana Cocoa-Forest REDD+ Programme and also can be used by other West African cocoa producing countries.
可可系统在减缓和适应气候变化方面的作用已经大大增强，因为它们能够从大气中捕获二氧化碳，并以碳的形式沉积在可可树中。开发可可种植园的地上生物量(AGB)模型对于准确估算可可系统中的碳储量至关重要，然而，用于估算可可种植园的地上生物量(AGB)的异速生长模型仍然是撒哈拉以南非洲可可生产国(特别是加纳)面临的一个挑战。本研究的目的是开发可用于估计加纳以及西非可可种植园AGB的异速生长模型。为了建立异速生长模型，对110棵可可树进行了破坏性采样。以胸径(D)、总树高(H)和木材密度(ρ)作为预测因子，建立了7个模型。根据估计参数的决定系数(R2)、一致性指数(IA)、均方根误差(RMSE)、偏倚(E%)、平均绝对误差(MAE)、修正后的赤池信息准则(AICC)和相对标准误差百分比(PRSE)选择最佳模型。所选择的模型，即具有预测因子D和ρ的模型，给出如下;Agb = 0.7217ρ(d2)0.921。采用等价检验和配对样本t检验与Yuliasmara et al.(2009)可可模型进行比较。在单侧检验中，两个模型的下限和上限在平均预测值的±10%以内是相等的(p < 0.0001)，而配对样本t检验拒绝了原假设，两个模型之间的平均差为14.16 kg。这项研究具有重要意义，因为它提供了一个模型来估计加纳可可种植园的AGB，这对加纳可可森林REDD+计划非常重要，也可以被其他西非可可生产国使用。
{"title":"Biomass Estimation Models for Cocoa (&lt;i&gt;Theobroma cacao&lt;/i&gt;) Plantations in Ghana, West Africa","authors":"Emmanuel Donkor, Stephen Adu-Bredu, Edward Matthew Osei Jnr, Samuel A. Andam-Akorful, Yakubu Mohammed","doi":"10.4236/ojapps.2023.139126","DOIUrl":"https://doi.org/10.4236/ojapps.2023.139126","url":null,"abstract":"The role of cocoa systems for climate change mitigation and adaptation has increased substantially because of their capability to trap carbon dioxide from the atmosphere and deposited in the cocoa trees as carbon. Development of aboveground biomass (AGB) models for cocoa plantations is crucial for accurate estimation of carbon stocks in the cocoa systems, however, allometric models for estimating AGB for cocoa plantations remain a challenge for cocoa producing countries in Sub-Saharan Africa especially Ghana. The aim of this study is to develop allometric model that can be used for the estimation of AGB for cocoa plantations in Ghana, as well as West Africa. Destructive sampling was carried out on 110 cocoa trees obtained from the cocoa rehabilitation exercise for the development of the allometric models. Diameter at breast height (D), total tree height (H) and wood density (ρ) were used as predictors to develop seven models. The best model was selected based on coefficient of determination (R2), index of agreement (IA), root mean squared error (RMSE), bias (E%), mean absolute error (MAE) and corrected akaike information criterion (AICC) and percentage relative standard error (PRSE) of the estimated parameters. The selected model, which was the one with the predictors D and ρ, was given as; AGB = 0.7217ρ(D2)0.921. It was compared with the Yuliasmara et al. (2009) cocoa model using equivalence test and paired sample t-test. The two models were found to be equivalent within ±10% of their mean predictions (p < 0.0001) for one-tailed tests for both lower and upper limits, while the paired sample t-test rejected the null hypothesis with mean difference of 14.16 kg between the two models. This study is significant because it has provided a model to estimate AGB for the cocoa plantations in Ghana which is very important for the Ghana Cocoa-Forest REDD+ Programme and also can be used by other West African cocoa producing countries.","PeriodicalId":19671,"journal":{"name":"Open Journal of Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135798367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ancient glass relics are easily weathered by the influence of buried environment, and the internal elements exchange with the environmental elements in large quantities, resulting in changes in their composition ratio. Archaeological research can often detect the component content of glass relics after weathering, but it is difficult to obtain the corresponding component content before weathering. It is necessary to predict the chemical composition of glass relics before weathering in order to accurately identify the type of glass relics and repair them. To solve this problem, this paper proposes a distributed matching strategy, and studies the influence of weathering on the composition content of glass through compositional correlation analysis and linear regression statistical methods, so as to build a prediction model of the composition content of glass relics before weathering. The results show that the composition prediction model of glass cultural relics constructed by the distribution matching strategy has a good prediction ability, which is consistent with the change trend of the composition ratio of linear regression analysis. Moreover, the model is simple and easy to operate, which is convenient for popularization and application, and provides theoretical basis and reference value for further research on the composition and accurate classification of glass cultural relics.
{"title":"Prediction of Chemical Composition of Ancient Glass Relics before Weathering","authors":"Jiehua Sun, Huazhou Chen, Yao Liu, Hongquan Lin, Huiwen Zheng, Yingzhen Qiu","doi":"10.4236/ojapps.2023.139124","DOIUrl":"https://doi.org/10.4236/ojapps.2023.139124","url":null,"abstract":"Ancient glass relics are easily weathered by the influence of buried environment, and the internal elements exchange with the environmental elements in large quantities, resulting in changes in their composition ratio. Archaeological research can often detect the component content of glass relics after weathering, but it is difficult to obtain the corresponding component content before weathering. It is necessary to predict the chemical composition of glass relics before weathering in order to accurately identify the type of glass relics and repair them. To solve this problem, this paper proposes a distributed matching strategy, and studies the influence of weathering on the composition content of glass through compositional correlation analysis and linear regression statistical methods, so as to build a prediction model of the composition content of glass relics before weathering. The results show that the composition prediction model of glass cultural relics constructed by the distribution matching strategy has a good prediction ability, which is consistent with the change trend of the composition ratio of linear regression analysis. Moreover, the model is simple and easy to operate, which is convenient for popularization and application, and provides theoretical basis and reference value for further research on the composition and accurate classification of glass cultural relics.","PeriodicalId":19671,"journal":{"name":"Open Journal of Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135599313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.4236/ojapps.2023.1311149
Jun Gu
The Science teachers in primary schools are the key group in developing science education, and they play a vital role in realizing the dream of strengthening the country through education. Their professional happiness deserves special attention. Whether this group is happy not only affects their own working conditions and quality of life, but also affects the work vitality of other teachers. Improving the professional happiness of science teachers in primary schools has become an important topic in the construction of teachers’ team in the new period. At present, the intensity of primary school science teachers’ own work is high, their non-own work is increasing, their physical and mental health is difficult to guarantee, and their professional happiness is reduced. The main causes of the problems are poor individual psychological quality, poor school management style and improper social cognitive evaluation. In order to solve this problem, we have explored strategies to improve the professional happiness of science teachers in primary schools through reshaping teachers’ work, democratic management of schools and national policy guarantee.
{"title":"The Realistic Dilemma, Problem Tracking and Mitigating Strategies of Primary School Science Teachers’ Professional Happiness","authors":"Jun Gu","doi":"10.4236/ojapps.2023.1311149","DOIUrl":"https://doi.org/10.4236/ojapps.2023.1311149","url":null,"abstract":"The Science teachers in primary schools are the key group in developing science education, and they play a vital role in realizing the dream of strengthening the country through education. Their professional happiness deserves special attention. Whether this group is happy not only affects their own working conditions and quality of life, but also affects the work vitality of other teachers. Improving the professional happiness of science teachers in primary schools has become an important topic in the construction of teachers’ team in the new period. At present, the intensity of primary school science teachers’ own work is high, their non-own work is increasing, their physical and mental health is difficult to guarantee, and their professional happiness is reduced. The main causes of the problems are poor individual psychological quality, poor school management style and improper social cognitive evaluation. In order to solve this problem, we have explored strategies to improve the professional happiness of science teachers in primary schools through reshaping teachers’ work, democratic management of schools and national policy guarantee.","PeriodicalId":19671,"journal":{"name":"Open Journal of Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135561052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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