The Application of Big Data in Bias Analysis on Mixed Teaching Mode

Abstract

Bias refers to a factor or factors that inherent within a test thus prevents the accession to the testing validity. Since college English adopted mixed teaching and testing, the shifting between online/offline mode demands systematical analysis, as a newly-added affecting factor for test bias and testing validity. To begin with a brief introduction about test bias and mixed teaching/testing mode in college English course, the article introduces the technical methods and online applications adopted in mixed teaching and testing and shows the comparison between online/offline testing scores and ranks. Two technique and designing- based hypothesis presented show that the technical development presents a possibility in test bias[1]. In the main part, proving process is explicitly presented, with clear steps followed and particular technical method used in testing practice, whether test validity and reliability defects or not will be clearly concluded. The diversity of samples and two hypothesis on bias attributes the research in this article a comprehensive and innovative one.