The Theoretical Framework and Practical Path of Learning Situation Analysis Assisted by Artificial Intelligence
Learning situation analysis is the premise and basis for determining teaching and carrying out teaching based on learning. However,in teaching practice,limited by teachers' energy,ability and technological development,learning situation analysis faces many practical difficulties such as difficulty in comprehensively obtaining data,insufficient objectivity of analysis,lagging learning feedback,and lack of application of results. Artificial intelligence is based on big data,strong algorithms,and strong computing power. It helps to comprehensively collect learning data,scientifically and efficiently analyze learning data,provide timely feedback on learning status,rationally apply learning results,and improve the breadth,validity,feedback speed and application accuracy of learning situation data. In order to give full play to the advantages of artificial intelligence technology to assist student situation analysis,a theoretical framework for artificial intelligence to assist student situation analysis should be constructed from the data layer,analysis layer,feedback layer,and application layer. And in practice,a full-process academic situation data collection system should be established using artificial intelligence,a multi-modal academic situation data analysis system,a timely academic situation feedback system,and a multi-scenario teaching comprehensive service system to assist in academic situation analysis.
万方数据
维普
