共查询到20条相似文献,搜索用时 156 毫秒
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以布鲁姆有效教学理论和构建主义理论为指导,构建了"前测备课-自主学习-后测评估"教学模式,并以"陌生氧化还原反应方程式书写"教学为例进行了应用研究和效果测评。经测评,学生兴趣浓厚,教学效果较好。以期为各学科高三二轮复习课教学模式提供参考。 相似文献
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化学课堂教学中的研究性学习 总被引:5,自引:0,他引:5
实施以创新精神和实践能力为重点的素质教育 ,关键在于改变教育观念 ,着眼点在于改革学生的学习方式以及教师的教学方式。改变以往单纯地接受教师传授知识为主的学习方式 ,为学生构建开放的学习环境 ,提供多渠道获取知识 ,并将学到的知识加以综合应用 ,培养创新精神和实践能力 ,这就是研究性学习的方式。我校从 2个层面开展研究性学习 ,其中以小课题形式的研究性学习 ,从 90年代中期开始实践与探索 ,已取得了阶段性的成果。近年来 ,我们又从课堂教学为突破口 ,探索课堂教学中的研究性学习 ,构建以学习者为中心 ,以学生实践性、自主活动为基… 相似文献
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在对近年国内兴起的导学案教学"学习任务系统"设计的现状分析的基础上,重构了导学案教学"课前、课中、课后的学习任务系统"的功能,并进行了模型建构及相应的案例分析,最后提出了功能重构后的导学案教学"学习任务系统"设计与编制的建议。 相似文献
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以"中药制剂检验技术"课程为例,在课前、课内、课后3个阶段,从理论和实践的角度探讨了如何利用N-CLASS网络平台构建和实施高职药品检验类课程的翻转课堂。结果表明,在药品检测类课程中,利用信息技术构建的翻转课堂不仅能够激发学生学习的主动性和学习兴趣,同时也培养了独立学习和协作学习的能力,明显提升了教学效果。 相似文献
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收集3位化学全日制教育硕士在中学实践过程中文本、视频等资料,采用个案研究、文本分析、课堂观察的质化方法,利用化学课堂教学系统构造模型对专业学习共同体多元成员的干预以及实践过程中化学全日制教育硕士的课堂教学进行分析和比较。结果表明:化学全日制教育硕士的课堂教学在专业学习共同体的干预下,发生了显著的变化,构造模型中的各个教学要素均有不同程度的提升,专业学习共同体中不同成员对全日制教育硕士教学的干预内容、作用效果、影响程度有所差异,并在此基础上建立教学变化模型。多元成员的专业学习共同体可以促进全日制教育硕士的教学发展,为教育硕士的培养改革提供了一种可供参考的实践干预范式。 相似文献
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Cloud computing revolutionized many fields that require ample computational power. Cloud platforms may also provide huge support for microRNA analysis mainly through disclosing scalable resources of different types. In Clouds, these resources are available as services, which simplifies their allocation and releasing. This feature is especially useful during the analysis of large volumes of data, like the one produced by next generation sequencing experiments, which require not only extended storage space but also a distributed computing environment. In this paper, we show which of the Cloud properties and service models can be especially beneficial for microRNA analysis. We also explain the most useful services of the Cloud (including storage space, computational power, web application hosting, machine learning models, and Big Data frameworks) that can be used for microRNA analysis. At the same time, we review several solutions for microRNA and show that the utilization of the Cloud in this field is still weak, but can increase in the future when the awareness of their applicability grows. 相似文献
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Aiming at the requirement of "suspending classes without stopping learning" in the epidemic situation of new coronary pneumonia, a variety of information technologies were used to construct a cloud classroom of inorganic chemistry. How to use Tencent classroom, Superstar learning and WeChat public account to construct this "inorganic chemistry" cloud class was introduced. The teaching effect of Inorganic Chemistry was discussed. 相似文献
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In the era of "Internet +", with the help of national excellent MOOC course of Chinese university and Mlabs-virtual experimental software, Tencent classroom is built to provide a diversified and efficient online inorganic chemistry basic laboratory classroom by combining a variety of modern education technologies with the concept of flipped classroom. Taking the redox reaction experiment as an example, we designed a multi-link teaching process and carried out a multi-faceted assessment. The online teaching can not only strengthen the cultivation of students' comprehensive and innovating ability, but also help teachers to update the teaching mode and create the new experimental content in line with the development of the times, so as to realize the mutual learning between teachers and students in the exploration of experimental teaching reform. 相似文献
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Recognition of big data mixed Raman spectra based on deep learning with smartphone as Raman analyzer
Raman spectral detection has emerged as a powerful analytical technique due to the advantages of fast acquisition, non-invasion, and low cost. The on-site application is highly dependent on Raman automatic analysis algorithm. However, current Raman algorithm research mainly focuses on small sample Raman spectroscopy (RS) identification with defects of low accuracy and detection rate. It is also difficult to realize rapid RS measurement under big data. In this paper, rapid recognition of mixtures in complex environments was realized by establishing a fast Raman analysis model based on deep learning through data training, self-learning, and parameter optimization. The cloud network architecture was proposed to apply deep learning to real-time detection using Smartphone-based Raman devices. This research solves the technical problems about mixture recognition under big data and thus could be used as a new method for fast and field RS detection in complex environments. 相似文献
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Zhiping Peng 《大学化学》2020,35(5):184-190
In response to the COVID-19 epidemic prevention, the "polymer chemistry" course teaching team actively explored the "learning-centered" online teaching model. The students were guided to active learning by using the rich contents of Chaoxin online teaching platform and multiple online teaching activities. The basic knowledge points, difficulties and emphases of the teaching were highlighted and the real-time communication and Q&A were achieved in combination with the Tencent course live broadcast and QQ learning group. Following the concept of "students as the main body and teachers as the leading", the online teaching of "polymer chemistry" has effectively aroused the students' interest in learning, cultivated the initiative of autonomous learning, organically integrated the ideological and political education, and achieved a good learning outcome. 相似文献
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Super-star learning assisted sectionalized examinations were carried out in university organic chemistry course. The passing rate and excellent rate of final examination of organic chemistry course have been effectively improved. This strategy emphasizes the accumulation of knowledge in normal learning which can improve students' active learning ability and teaching quality. 相似文献
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M. Alvarez Prieto J. Jiménez Chacón I. Cortés Nodarse N. Martínez Alfonso 《Accreditation and quality assurance》2007,12(1):39-44
In this paper, 15 years of the experiences acquired concerning the teaching of chemical metrology in Latin America are presented.
These include postgraduate and undergraduate activities developed in eight countries. The combination of theoretic and practical
activities and the sequence of learning from metrological, statistical, and chemometrical backgrounds up to practical activities
in personal computers are basic and motivate the learning process. Care is taken to promote the metrological approach and
thinking in analytical chemistry. The learning of computing techniques plays an important role, combining graphic and numerical
techniques for data analysis. The role of examples during the teaching process is analyzed and recognized. The introduction
of a general model of errors permits one to approach different topics on a metrological basis. The metrological approach of
uncertainty based on the theory of errors permits one to develop the topic. Undergraduate students acquire a basic metrological
knowledge and other experiences are also presented. Recommendations for undergraduate and postgraduate programs are pointed
out. 相似文献
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Fuxian Wan Riwei Wang Bin Yu Yuanhong Zhang Ying Li Lili Zhang Shiyun Ai Lin Jiang 《大学化学》1986,35(12):110-117
Considering COVID-19 epidemic prevention and control, education materials were excavated and refined, such as chemical disinfectants, typical drugs used in clinical treatment or trial and materials for preparation of medical protective equipment. We have carried out thematic teaching on "The important role of chemistry in the fight against COVID-19 epidemic", and integrated ideological and political education into the thematic teaching. Through thematic teaching, we can make students feel the charm of chemistry subject, stimulate students' interest in learning chemistry, fully mobilize students' learning enthusiasm and initiative, strengthen students' confidence and courage to overcome difficulties, cultivate the students' professional disciplines literacy and scientific literacy, activate students' love for the motherland, the people and the Communist Party of China. 相似文献