scholarly journals Knowledge Level Design Support for Adaptive Learning Contents: Ontological Consideration of Knowledge Level Structure of SCORM2004 Contents

2006 ◽  
pp. 41-52
Author(s):  
Yusuke Hayashi ◽  
Mitsuru Ikeda
Keyword(s):  
Adaptive Learning ◽  
Level Structure ◽  
Knowledge Level ◽  
Design Support ◽  
Level Design

An Adaptive Learning System Based on Learner’s Knowledge Level

2021 ◽  
Author(s):  
Humam K. Majeed AL-Chalabi ◽  
Aqeel M.Ali Hussein ◽  
Ufuoma Chima Apoki
Keyword(s):  
Adaptive Learning ◽  
Learning System ◽  
Knowledge Level ◽  
Adaptive Learning System

scholarly journals An Adaptive Learning System based on Knowledge Level for English Learning

2018 ◽  
Vol 13 (12) ◽  
pp. 191 ◽  
Author(s):  
Sfenrianto Sfenrianto ◽  
Yustinus B. Hartarto ◽  
Habibullah Akbar ◽  
Mukhneri Mukhtar ◽  
Efriadi Efriadi ◽  
...  
Keyword(s):  
English Language Learners ◽  
Adaptive Learning ◽  
English Language ◽  
Learning System ◽  
Traditional Learning ◽  
Learning Approaches ◽  
Knowledge Level ◽  
Proficiency Level ◽  
Post Test ◽  
Adaptive Learning Systems

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 post-test 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.

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