The Use of Adaptive Learning System for Assessment of Foreign Language Performance

Abstract

Knowing major foreign languages such as English has currently become very crucial especially for students aspiring to work at international companies. It is for this reason that many students tend to take courses or study foreign languages, especially business English at college or university. Thus, students come with specific expectations and targets, which must be achieved at the end of the course. This therefore makes it very relevant to work out mechanisms to facilitate, support, and promote the teaching and learning of foreign languages to enable learners attain their fullest potentials and reach their expected targets. Hence, this paper defines and justifies the need to adopt adaptive learning system like big data and other assessment processes capable of stimulating and boosting students' interest, which would lead to better performance. Our analysis revealed that the creation of individualized learning environment (with the help of adaptive learning system) and formative assessment promotes teaching and learning, and this improves students' performance in foreign languages. Thus, it imperative for policy maker and other authorities to encourage the development of individualized learning space and also create, adjust, and implement assessment mechanisms through the use of adaptive learning system to improve teaching and learning as well as the performance of students