Tests and Linguistic Platforms: Al Erfaan Proficiency Test as a Model

Abstract

This research revolves around the utilization of digitization or digital linguistic platforms in creating effective language tests capable of assessing learners' proficiency in their first or second language. This is achieved by measuring the learner's actual level in the four language skills: listening, reading, speaking, and writing. The attainment of these skills relies on a linguistic platform that employs linguistic algorithms to describe and prepare linguistic material. It also incorporates computer algorithms to construct algorithms in the form of local patterns that enable the automatic reading and utilization of linguistic algorithms. Additionally, the research introduces and defines the proficiency test developed by the Erfaan institute, an electronic test primarily designed to measure the skills of Arabic learners who are not native speakers, particularly those in advanced stages of learning Arabic (C1-2 level according to the Common European Framework), equivalent to the high school level. This test addresses the gap in assessing the skills of non-native Arabic learners and aims to elevate Arabic to the status of global languages with standardized measures for assessing the competencies of non-native speakers