WeChat Mini Program
Old Version Features

启发式的多层次居家物理实验设计探索

Physics Experimentation(2020)

Cited 16|Views28
Abstract
居家实验是特殊疫情时期应对基础物理实验教学困境的有效途径.进行多层次的启发式教学设计,是保障学生“停课不停学”、教师“停课不停教”,形成特殊时期的师生共同体的必要因素.启发式的居家实验命题设计贯穿于全实验过程中,包括命题、选材、实验设计、数据处理方式和实验优化.以光学为例,介绍了现阶段光学居家实验的内容.在居家实验教学过程中课程育人作用不能忽视.启发式的实验教学不能照本宣科,需要实验教师积极探索.特殊时期的实验教学,亦对实验师资建设、实验室建设和课程建设等提出了有效启示.
More
求助PDF
上传PDF
Bibtex
收藏
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