Author(s)

Jianyong Guo ¹, Le Xu ¹, Yuhan Zhang ¹, Yanjun Fu ², Quanshui Zhu ²

Affiliation(s)

¹ School of Mathematical & Physical Sciences, Wuhan Textile University, Wuhan, 430074, China
² National Demonstration for Experimental College Physics Education, Nanchang HangKong University (NCHU), Nanchang, 330063, China

Corresponding Author

Quanshui Zhu

ABSTRACT

The addition of online platforms has a positive impact on both sides of the teaching and learning. Compared to traditional offline classrooms, the addition of online platforms can provide richer learning support for both sides of teaching and learning. The online platform can record the entire learning process data of learners. The software tools of SPSS and Origin can be used to compare and analyze the learning data such as learning frequency, duration, etc. Based on visual data analysis, teachers can intuitively and accurately understand learning behaviors of learners during their learning process. The teaching methods and organization can be optimized, which can make the learning process "Smart". 

KEYWORDS

Online learning data, Visual research, Psychological anxiety, Emotional fluctuations

CITE THIS PAPER

Jianyong Guo, Le Xu, Yuhan Zhang, Yanjun Fu, Quanshui Zhu, Research on Smart Teaching Based on Online Learning Data. Advances in Educational Technology and Psychology (2023) Vol. 7:43-48. DOI: http://dx.doi.org/10.23977/aetp.2023.070906.

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Sponsors, Associates, and Links

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• Curriculum and Teaching Methodology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education
  
  
• Adult and Higher Education