Author(s)

Chong Wei ¹, Haichao Liu ¹, Xiuyu Zhang ¹, Zhiguo Wang ¹, Peng He ¹, Yiqing Wang ¹, Shiming Li 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

Lianhai Cao

ABSTRACT

Enhancing classroom teaching models and evaluation methods, strengthening data mining and analysis, and deepening the integration of information technology and educational innovation have become important goals of China's recent implementation of digital education strategies. This paper proposes the use of blockchain concepts to create a more comprehensive system for data collection, sharing, and analysis, facilitating efficient coordination of data between disciplines, teachers, and courses. By deeply integrating big data technology with university teaching evaluation systems, it assists in reforming teaching evaluation modes and methods in different disciplines, addressing the practical issues of "limited practicability, limited data availability, and system development challenges" in current practices. Furthermore, it aims to promote the practical implementation of educational big data and gradually achieve the goals of building a university teaching evaluation system based on big data.

KEYWORDS

Teaching evaluation, blockchain concepts, big data in education

CITE THIS PAPER

Chong Wei, Haichao Liu, Xiuyu Zhang, Zhiguo Wang, Peng He, Yiqing Wang, Shiming Li, Yuping Tong, Jianhua Zhang, Lianhai Cao, The Construction of University Teaching Evaluation System Based on Big Data under the Concept of Blockchain. Advances in Educational Technology and Psychology (2023) Vol. 7:49-55. DOI: http://dx.doi.org/10.23977/aetp.2023.070907.

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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