Comprehensive assessment model of teachers' innovation ability in higher vocational colleges based on big data

Xi Feng; Shaoguang Wang; Lijun Fang

doi:10.1117/12.2683110

16 June 2023 Comprehensive assessment model of teachers' innovation ability in higher vocational colleges based on big data

Xi Feng, Shaoguang Wang, Lijun Fang

Author Affiliations +

Proceedings Volume 12703, Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023); 127030P (2023) https://doi.org/10.1117/12.2683110
Event: Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023), 2023, Hong Kong, China

Abstract

Assessment of innovation ability is an important basis for higher vocational education and teaching decision-making, and effective assessment of innovation ability depends on comprehensive and reliable assessment data. Multi-assessment system of instructional level refers to a series of methods to assess teachers' teaching process and effect in unstructured teaching situation by using various effective technical means and assessment methods. With modern quality management theory, the contents and methods of multi-assessment are arranged and implemented by multi-assessment subjects. Based on the background of tertiary education and the comprehensive assessment of teachers' innovation ability in vocational schools, this article applies data mining technology to explore and discover the practical knowledge of teaching assessment in vocational schools. The results show that the consistency between the proposed algorithm and the manual processing method can reach more than 95%, that is, the accuracy of the algorithm is more than 95%, which shows that the assessment algorithm of teachers' innovation ability in this article has good performance. This algorithm reduces the influence of subjective factors in assessment, and makes the assessment results more objective and accurate, so it has strong application value.

Citation Download Citation

Xi Feng, Shaoguang Wang, and Lijun Fang "Comprehensive assessment model of teachers' innovation ability in higher vocational colleges based on big data", Proc. SPIE 12703, Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023), 127030P (16 June 2023); https://doi.org/10.1117/12.2683110

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