Assessing Teacher’s Performance Evaluation and Prediction Model Using Cloud Computing Over Multi-dimensional Dataset

Kavitha, K.

doi:10.1007/s11277-021-08394-3

Cited by 3 publications

(1 citation statement)

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“…Excellent group teachers must meet one of the following three conditions: they have won the honors of excellent teachers, special teachers, model teachers, and backbone teachers at or above the municipal level; in the past 5 years, they have won the education and teaching award above the municipal level; excellent on-the-job teachers with teaching performance appraisal in recent 5 years. Ordinary teachers in the group randomly choose other teachers in the school where the excellent teachers are located [10]. Build a big data information flow model of primary and secondary school teachers' competency model distribution, use cloud computing and big data analysis methods to schedule the information flow of primary and secondary school teachers' competency model, build a resource information flow model [11][12][13], and combine big data mining and feature parameter fusion methods to get the cluster headset of primary and secondary school teachers' competency model distribution as follows:…”

Section: Primary and Secondary School Teacher Competency Modelmentioning

confidence: 99%

Construction of Primary and Secondary School Teachers’ Competency Model Based on Improved Machine Learning Algorithm

2022

Mathematical Problems in Engineering

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In order to quantitatively evaluate the competence of primary and secondary school teachers, a competency model of primary and secondary school teachers based on an improved machine learning algorithm is proposed. The fitting parameter analysis model of primary and secondary school teachers’ competency is constructed, and the fitting benefit degree parameter of primary and secondary school teachers’ competency is extracted based on the analysis results of reliability index parameters. The improved machine learning algorithm is used to carry out quantitative analysis and characteristic element analysis in the process of primary and secondary school teachers’ competency evaluation and determine the competency elements of the model. According to the machine learning model, the competency elements are conceptualized and classified, and the theoretical parameter analysis model of online teaching competency of primary and secondary school teachers is constructed to realize the assessment and quantitative analysis of primary and secondary school teachers’ competency. Factor analysis and reliability tests were performed using the KMO test and Bartlett test. The empirical simulation analysis results show that the reliability and accuracy of the evaluation of primary and secondary school teachers’ competence by this method are good, and the level of credibility is high.

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Section: Primary and Secondary School Teacher Competency Modelmentioning

confidence: 99%