IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

An Empirical Study On Teacher Performance Analytics To Measure The Impact Of Environmental Factors By Using The Design Of Circularity Measurement Framework

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Mr Pankaj Roy Gupta , Dr Pravin Mane ,Mr Swapnil Thorat, Mr Arun Pawar

Abstract

The aim of this research study is to consider the circularity measurement framework using the data analytics models to extract insights and understand how the environmental factors in the digital platform are influencing the teacher performance in the areas of: 1. Teaching-learning effectiveness 2. Expected student academic performance 3. Overall development of the school Assessing the teacher performance using the circularity measurement framework and tools published by MDPI article is not a simple and direct technique. The circularity measurement framework and its applications have gained importance for businesses and industrial practitioners for getting the benefits from circular economy (CE). Thus, providing methods and tools to evaluate and enhance teacher performance—in the light of the circular economy—becomes a significant but still barely addressed topic. In addition, operational guidance for teachers, education designers, and academic administrators to improve their academic products, programs and service delivery in a circular economy context is missing. As a result, guidelines and suggestions for academic practitioners for the design and development of new performance evaluation frameworks, tools and indicators aiming at measuring teaching delivery quality in a circularity performance framework are important. Teaching is the heart of education, so the most important action required is to develop a circularity measurement framework using data analytics models to measure and predict the performance issues of teachers to improve education delivery and outcomes. (Önen & Sincar, 2019) Advanced statistical data analysis models using regressions, structured equation modelling, random forest, decision tree, etc will be used for extracting intelligence by finding out the significance and correlation of various factors influencing teacher performance as per the circularity measurement framework. Based on the literature review, some of the circularity performance assessments methods used in the circular economy (CE) for measuring performance issues are Data Envelopment Analysis (DEA), Input-Output (I-O), Design for X (Dfx), Life Cycle Assessment (LCA), Life Cycle Inventory (LCI), Multi Criteria Decision Methods (MCDM), Social Network Analysis (SNA), Regression Model (RM), Sustainable Performance Assessment (SPA), Factor Analysis (FA), Balanced Score Card (BSC), Sensitivity Analysis (SA) etc. The teacher performance data analytics models will help in assessing and measuring the impact how the environmental and related factors under various Teachers Performance Areas (TPAs), such as productive teaching techniques, students achievements, organized class management, inter-personal relations, institutional environment, classroom environment etc and related Teachers Performance Indicators (TPIs) using multiple data points for each of these TPAs in the continuous process of evaluating teachers throughout their educational and professional careers.

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