@article{ART002418300},
author={Lee, Jae Mu and Minhee Kim},
title={A Development of Adaptive Learning System Considering Learners’ Knowledge Level},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2018},
volume={13},
number={6},
pages={727-735},
doi={10.34163/jkits.2018.13.6.009}
TY - JOUR
AU - Lee, Jae Mu
AU - Minhee Kim
TI - A Development of Adaptive Learning System Considering Learners’ Knowledge Level
JO - Journal of Knowledge Information Technology and Systems
PY - 2018
VL - 13
IS - 6
PB - Korea Knowledge Information Technology Society
SP - 727
EP - 735
SN - 1975-7700
AB - The biggest advantage of computer based education is providing differential learning considering each learner’s situation. Recently, adaptive learning system to support individualized learning has been actively studied. This study is about the adaptive learning system considering learners' individual achievement. This paper examines an adaptive learning system applying van Hiele’s learning theory in order to support differential leveled learning in geometrical figures for elementary students. We classified learners’ level of knowledge into three levels; lower level, middle level and upper level through the online test. We provide the leveled appropriate courses for the geometrical figures learning. A PHP script language is used to implement for learning algorithm and to manipulate the database. Finally, a Flash is used to present for adaptive learning object. The learning achievement of our proposed adaptive learning system will be increased because the learning system is constructed using the figure learning teaching strategies proposed by proven van Hiele’ theory. Futhermore, the adaptive learning system considering learners’ knowledge level will increase not only learning effects but also learning motivation by providing proper leveled learning and content. This study contributed to realize an adaptive learning system that takes into account the learner's knowledge level. And we showed how mathematical theory can connect with an adaptive learning system.
KW - Computer based education;e-Learning;Adaptive learning;Personalized learning;Achievement treatment interaction;Geometrical figures;Personalized learning
DO - 10.34163/jkits.2018.13.6.009
ER -
Lee, Jae Mu and Minhee Kim. (2018). A Development of Adaptive Learning System Considering Learners’ Knowledge Level. Journal of Knowledge Information Technology and Systems, 13(6), 727-735.
Lee, Jae Mu and Minhee Kim. 2018, "A Development of Adaptive Learning System Considering Learners’ Knowledge Level", Journal of Knowledge Information Technology and Systems, vol.13, no.6 pp.727-735. Available from: doi:10.34163/jkits.2018.13.6.009
Lee, Jae Mu, Minhee Kim "A Development of Adaptive Learning System Considering Learners’ Knowledge Level" Journal of Knowledge Information Technology and Systems 13.6 pp.727-735 (2018) : 727.
Lee, Jae Mu, Minhee Kim. A Development of Adaptive Learning System Considering Learners’ Knowledge Level. 2018; 13(6), 727-735. Available from: doi:10.34163/jkits.2018.13.6.009
Lee, Jae Mu and Minhee Kim. "A Development of Adaptive Learning System Considering Learners’ Knowledge Level" Journal of Knowledge Information Technology and Systems 13, no.6 (2018) : 727-735.doi: 10.34163/jkits.2018.13.6.009
Lee, Jae Mu; Minhee Kim. A Development of Adaptive Learning System Considering Learners’ Knowledge Level. Journal of Knowledge Information Technology and Systems, 13(6), 727-735. doi: 10.34163/jkits.2018.13.6.009
Lee, Jae Mu; Minhee Kim. A Development of Adaptive Learning System Considering Learners’ Knowledge Level. Journal of Knowledge Information Technology and Systems. 2018; 13(6) 727-735. doi: 10.34163/jkits.2018.13.6.009
Lee, Jae Mu, Minhee Kim. A Development of Adaptive Learning System Considering Learners’ Knowledge Level. 2018; 13(6), 727-735. Available from: doi:10.34163/jkits.2018.13.6.009
Lee, Jae Mu and Minhee Kim. "A Development of Adaptive Learning System Considering Learners’ Knowledge Level" Journal of Knowledge Information Technology and Systems 13, no.6 (2018) : 727-735.doi: 10.34163/jkits.2018.13.6.009