数字化时代对技能人才的新需求,使职业教育教师专业发展的重要性日益受到关注。运用Cite Space软件对Web of Science核心数据库中关于职业教育教师专业发展领域的国际文献进行分析,并绘制知识图谱,发现现有研究主要集中在强调职业教育...数字化时代对技能人才的新需求,使职业教育教师专业发展的重要性日益受到关注。运用Cite Space软件对Web of Science核心数据库中关于职业教育教师专业发展领域的国际文献进行分析,并绘制知识图谱,发现现有研究主要集中在强调职业教育教师持续专业发展(Continuing Professional Development,CPD)的重要性、影响职业教育教师专业发展的因素、职业教育教师如何认识和实施专业发展等方面。职业教育教师专业发展需要个体层面与外部环境的协同支持,其本质在于追求教师职业生涯从新手到专家的高质量发展和积极发挥职业教育提升服务质量的作用。未来该领域的研究需要更加强调以学生为本的视角对跨学科交叉、长期跟踪和评估机制等方面的深入研究。展开更多
Background:Manga nese(Mn)is an essential microelement in cotton seeds,which is usually determined by the techniques relied on hazardous reagents and complex pretreatment procedures.Therefore a rapid,low-cost,and reage...Background:Manga nese(Mn)is an essential microelement in cotton seeds,which is usually determined by the techniques relied on hazardous reagents and complex pretreatment procedures.Therefore a rapid,low-cost,and reagent-free analytical way is demanded to substitute the traditional analytical method.Results:The Mn content in cottonseed meal was investigated by near-infrared spectroscopy(NIRS)and chemometrics techniques.Standard normal variate(SNV)combined with first derivatives(FD)was the optimal spectra pre-treatment method.Monte Carlo uninformative variable elimination(MCUVE)and successive projections algorithm method(SPA)were employed to extract the informative variables from the full NIR spectra.The lin ear and non linear calibration models for cott on seed Mn content were developed.Finally,the optimal model for cottonseed Mn content was obtained by MCUVE-SPA-LSSVM,with root mean squares error of prediction(RMSEP)of 1.994 6,coefficient of determination(R^2)of 0.949 3,and the residual predictive deviation(RPD)of 4.370 5,respectively.Conclusions:The MCUVE-SPA-LSSVM model is accuracy enough to measure the Mn content in cottonseed meal,which can be used as an alter native way to substitute for traditional analytical method.展开更多
文摘数字化时代对技能人才的新需求,使职业教育教师专业发展的重要性日益受到关注。运用Cite Space软件对Web of Science核心数据库中关于职业教育教师专业发展领域的国际文献进行分析,并绘制知识图谱,发现现有研究主要集中在强调职业教育教师持续专业发展(Continuing Professional Development,CPD)的重要性、影响职业教育教师专业发展的因素、职业教育教师如何认识和实施专业发展等方面。职业教育教师专业发展需要个体层面与外部环境的协同支持,其本质在于追求教师职业生涯从新手到专家的高质量发展和积极发挥职业教育提升服务质量的作用。未来该领域的研究需要更加强调以学生为本的视角对跨学科交叉、长期跟踪和评估机制等方面的深入研究。
基金funded by The National Key Technology R&D program of China(2016YFD0101404)China Agriculture Research System(CARS-18-25)Jiangsu Collaborative Innovation Center for Modern Crop Production
文摘Background:Manga nese(Mn)is an essential microelement in cotton seeds,which is usually determined by the techniques relied on hazardous reagents and complex pretreatment procedures.Therefore a rapid,low-cost,and reagent-free analytical way is demanded to substitute the traditional analytical method.Results:The Mn content in cottonseed meal was investigated by near-infrared spectroscopy(NIRS)and chemometrics techniques.Standard normal variate(SNV)combined with first derivatives(FD)was the optimal spectra pre-treatment method.Monte Carlo uninformative variable elimination(MCUVE)and successive projections algorithm method(SPA)were employed to extract the informative variables from the full NIR spectra.The lin ear and non linear calibration models for cott on seed Mn content were developed.Finally,the optimal model for cottonseed Mn content was obtained by MCUVE-SPA-LSSVM,with root mean squares error of prediction(RMSEP)of 1.994 6,coefficient of determination(R^2)of 0.949 3,and the residual predictive deviation(RPD)of 4.370 5,respectively.Conclusions:The MCUVE-SPA-LSSVM model is accuracy enough to measure the Mn content in cottonseed meal,which can be used as an alter native way to substitute for traditional analytical method.
