WeChat Mini Program
Old Version Features

基于应用型人才培养的微生物学实验教学的改革与探索

Journal of Microbiology(2021)

Cited 1|Views13
Abstract
以湖南科技学院为例,研究分析了目前该校"微生物学实验"教学中存在的问题,针对学校培养应用型人才目标,做如下改进:优化实验的教学内容,以"加强基础实验、提高实践能力及体现特色"的原则进行;改革实验的教学方法,以探究式、混合式教学为主并结合线上教学;对实验的考核方式进行改革,采用"平时成绩+实验报告+综合评价"评价体系;加强师资队伍建设并改进评价方式.结果表明,改进后学生分析问题、解决问题及创新能力大幅度提升,促进了学生积极思考、发现新现象并及时改进实验技术方法,进而提高学生的学习效果,推进应用型人才的培养.
More
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined