Digital Competency and Performance Efficiency Among Statistical Educators During Covid-19 Using Hybridized DEA-ML Model: A Preliminary Study

Abstract

The education system nowadays changes according to the development of world communication technology.  Educators need to change the online system in line with the government's proposition. Thus, the primary goal was the development of a research framework to assess the digital efficiency with which teachers of STA 404 statistics operate. There are three objectives were proposed [1] to determine the digital competencies level among the STA 404 statistics educators, [2] to model the performance efficiency score among STA 404 statistics educators using the Data Envelopment Analysis (DEA) method, and [3] to predict the performance efficiency score among STA 404 statistics educators using Machine Learning (ML). 42 educators have experience teaching STA 404 but only 10 of the educators are to be sampled to evaluate the questionnaire's reliability and validity. Thus, the current work aimed to create an innovative DEA hybrid model that featured an appropriate ML algorithm with the capability to measure the digital efficiency with which teachers of STA 404 statistics operated. By applying this hybrid model, educators or researchers could generate new knowledge.