An adaptive learning system based on knowledge level for English learning

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Sfenrianto Sfenrianto, Yustinus B. Hartarto, Habibullah Akbar, Mukhneri Mukhtar, Efriadi Efriadi, Mochamad Wahyudi

2018 International Journal of Emerging Technologies in Learning Vol. 13 Issue 12 Article Cited by 30 SDG 4SDG 17 Quartile

Abstract

Traditional learning approaches in teaching English assume that learners have same background, ability, and requirements. In this study, we propose an adaptive learning systems-knowledge level (ALS-KL) is a learning system that can personalize materials due to proficiency level of English language learners. A pre-test is given to measure the proficiency level of learners. The level is divided into elementary, intermediate and advanced. The ALS-KL provides the most suitable materials according to the needs of the learners. We applied the proposed system on 90 learners with different English proficiency level. The effectiveness of the system was evaluated using post-test. The results of the posttest showed that the proposed system was able to improve learners with intermediate- level and advanced level 1.5 times and 4 times respectively while reducing the number of learners with elementary-level by more than 50%. These indicate the effectiveness of the proposed system. © 2018 Kassel University Press GmbH.

Affiliations

Information Systems Management Department, BINUS Graduate Program, Bina Nusantara University, Jakarta, 11480, Indonesia; Computer Science Department, BINUS Graduate Program, Bina Nusantara University, Jakarta, 11480, Indonesia; State University of Jakarta, Indonesia; AMIK BSI, Jakarta, 11480, Indonesia; STMIK Nusa Mandiri, Indonesia

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