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Physics Learning in Distance Instruction

Physics Learning in Distance Instruction
远程教学中的物理学习
批准号:
470250834
负责人:
Dr. Daniel Laumann
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2021
资助国家:
德国
项目状态:
已结题
起止时间:
2020-12-31 至 2021-12-31

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中文摘要
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英文摘要
The Covid-19 pandemic and the accompanying lockdown and closing of schools required shifting to remote learning on short notice. This presented a particular challenge to both teachers and students. A growing concern is that less motivated or low-achieving students may not receive the attention they need – with all the negative consequences for their learning. It is unclear so far, to which extent these issues can be addressed by adequate instructional design (and what an adequate instructional design would look like) or respective professional development of teachers. The project “Physics learning in remote instruction” (PhyF) aims to address these deficits through a secondary analysis of data on students learning in digital curriculum units that were collected in a previous project with the title “Physics instruction based on core concepts – cumulative competence development at the example of the energy concept” (energie.TRANSFER). Prior to the pandemic, these data were collected in regular instruction. After the beginning of the pandemic, data were collected as the units were enacted in a remote instruction format. The present project aims to investigate the role of remote instruction for students’ learning motivation and learning for different groups of students, which role teacher acceptance plays, and what potentials and pitfalls teachers see in remote instruction. The results will provide important insights into for a better support of students in remote instruction and in the bridging between school and out of school (online) learning altogether.
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Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
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  • 依托单位:
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  • 批准号:
    --
  • 项目类别:
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  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
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基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
  • 批准号:
    62003314
  • 项目类别:
    青年科学基金项目
  • 资助金额:
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  • 批准年份:
    2020
  • 负责人:
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