Author(s)

Chong Wei ¹, Haichao Liu ¹, Zhiguo Wang ¹, Peng He ¹, Yiqing Wang ¹, Shiming Li ¹, Kunyao Shu ¹, Yuping Tong ¹, Jianhua Zhang ¹, Lianhai Cao ¹

Affiliation(s)

¹ North China University of Water Resource and Electric Power, Zhengzhou, China

Corresponding Author

Yuping Tong

ABSTRACT

Education big data analysis is currently a hot topic of concern in academia. Building on the "Internet + Education" concept, this paper developed a mobile information technology teaching evaluation tool based on WeChat, called the "Intelligent Teaching Evaluation System (ITES)", making it possible for instructors to adopt a hybrid teaching method that combines online and offline teaching by fully utilizing the advantages of mobile internet technology combined with face-to-face teaching. This approach can stimulate students' classroom participation and foster their interest in self-directed learning using mobile devices. The system achieves breakthroughs in university teaching management, homework evaluation and statistics, and post-class Q&A and discussions. At the same time, all teaching-related data can be collected and analyzed to help instructors find the most effective educational methods and strategies to improve teaching effectiveness.

KEYWORDS

Internet+, teaching evaluation, teaching process data

CITE THIS PAPER

Chong Wei, Haichao Liu, Zhiguo Wang, Peng He, Yiqing Wang, Shiming Li, Kunyao Shu, Yuping Tong, Jianhua Zhang, Lianhai Cao, Analysis of Classroom Teaching Process Data Based on Intelligent Teaching Evaluation System. Advances in Educational Technology and Psychology (2023) Vol. 7: 32-38. DOI: http://dx.doi.org/10.23977/aetp.2023.071006.

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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