Evaluation Algorithm of English Job Competency in Higher Vocational Colleges Based on Association Rules

Abstract

The association rule-based vocational English work ability evaluation algorithm is an English work ability evaluation model based on association rule mining algorithm, mainly used to evaluate and analyze the work ability of vocational English major students. This algorithm starts from multiple perspectives such as students’ English learning situation, work experience, personal qualities, and comprehensive literacy, and uses data mining technology to determine students’ English work ability level and key factors. The algorithm mainly includes the following steps: 1. Data collection: collect information about students’ English learning, work experience, personal quality, comprehensive literacy and other information through questionnaires, face-to-face interviews, work Achievement test and other ways. 2. Data preprocessing: Clean, classify, and standardize the collected data for subsequent data analysis and association rule mining. 3. Association rule mining: Using Apriori algorithm and other association rule mining algorithms, the relevant laws and factors of students’ English work ability are extracted from a large amount of data to determine their English work ability level and direction of ability improvement. 4. Evaluation and analysis: Based on the results of association rule mining, evaluate and analyze students’ English work ability, and provide targeted training and guidance for students.