The design and application of a web-based teacher evaluation system for STEM education

Author(s):  
Chia-Chun Wu ◽  
Cheng-Ying Yang ◽  
Min-Shiang Hwang ◽  
Mei-Yu Lin
2021 ◽  
pp. 000313482110111
Author(s):  
Kurun Partap S Oberoi ◽  
Akia D Caine ◽  
Jacob Schwartzman ◽  
Sayeeda Rab ◽  
Amber L Turner ◽  
...  

Background The Accreditation Council for Graduate Medical Education requires residents to receive milestone-based evaluations in key areas. Shortcomings of the traditional evaluation system (TES) are a low completion rate and delay in completion. We hypothesized that adoption of a mobile evaluation system (MES) would increase the number of evaluations completed and improve their timeliness. Methods Traditional evaluations for a general surgery residency program were converted into a web-based form via a widely available, free, and secure application and implemented in August 2017. After 8 months, MES data were analyzed and compared to that of our TES. Results 122 mobile evaluations were completed; 20% were solicited by residents. Introduction of the MES resulted in an increased number of evaluations per resident ( P = .0028) and proportion of faculty completing evaluations ( P = .0220). Timeliness also improved, with 71% of evaluations being completed during one’s clinical rotation. Conclusions A resident-driven MES is an inexpensive and effective method to augment traditional end-of-rotation evaluations.


2014 ◽  
Vol 905 ◽  
pp. 721-724
Author(s):  
Bo Yang ◽  
Li Na Zhang

In this paper, the Support Vector Machine (SVM) theory is applied to secondary school teachers evaluation systems. And the evaluation attributes of secondary school teachers are set in accordance with certain requirements. Through the use of sample data on the teacher evaluation system for a certain amount of training, we get a trained model, then evaluate and analyze the teachers data to be measured. This approach can make secondary school teachers assessment more accurate and reasonable, greatly reduce the workload of teaching management, and reduce the number of artificially errors in the evaluation process.


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