Open AccessInfluencing Factors of Learning Experience in Online Large-Class Teaching ——Semantic Analysis Based on Students’ Classroom Feedback Language Materials
Author(s) -
Qing Liu
Publication year - 2021
Publication title -
converter
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.104
H-Index - 1
ISSN - 0010-8189
DOI - 10.17762/converter.162
Subject(s) - computer science , sentiment analysis , class (philosophy) , cluster analysis , parsing , consistency (knowledge bases) , mathematics education , questionnaire , semantic analysis (machine learning) , perception , natural language processing , experiential learning , psychology , artificial intelligence , statistics , mathematics , neuroscience
As the learners' perception and reaction in multiple aspects during the course learning, learning experience is of great importance for the study of educational evaluation and the optimization of teacher teaching and teaching management. According to the text semantic analysis and questionnaire survey on students' learning feedback in online large classes,the NLPIR-Parser big-data semantic intelligent analysis platform is used in this paper to carry on keywords extraction and analysis, text sentiment analysis, text clustering and abstract extraction after the processing of original corpus, and then SPSS22.0 software is used to conduct Pearson correlation analysis on the score of text sentiment and the statistical data of questionnaire survey.The results show that the results of text semantic analysis and questionnaire survey have the consistency in positive learning experience; students' negative emotional experience has a significantly reverse correlation with learning effect score; teacher teaching, student learning,course characteristics and learning environment are proved to be the main influencing factors of students' learning experience, in which, teacher teaching plays a leading role. Then, the specific thinking of improving students' learning experience is put forward on the basis of research results.