Abstract

The assessment of organic chemistry teachers' bilingual teaching competency plays a crucial role in improving their teaching quality. In this study, 13 indices in five aspects: teaching quality, teaching content, teaching organization, teaching methods, and teaching effects, have been identified as impact indices for assessing the bilingual teaching competency of organic chemistry teachers. Meanwhile, the ANP (Analytic Network Process) model is set up, and the Super Decisions software is used to compute the comprehensive weight of the 13 impact factors. A five-degree fuzzy comment set including very satisfied, satisfied, mediocre, dissatisfied, and very dissatisfied is established. The five-degree evaluation data on the 13 impact indices are collected through questionnaires distributed to students. Index weights and evaluation data are synthesized to obtain the final assessment results of organic chemistry teachers' bilingual teaching competency. The Fuzzy-ANP model has taken the internal relations and external dependency of 13 indices into consideration, which makes the assessment results more authentic and reliable. Therefore, this model is worthy of a more extensive application.

Keywords:

Fuzzy-ANP, Super Decision software, organic chemistry, bilingual teaching competency,

References

Competing interests

The authors have no competing interests.

Open Access Policy

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Copyright

The authors have no competing interests.